.terms_of_service_block{display:block;}.terms_of_service_block.terms_btn_toggle{display:none;}

Johnson & Johnson Common Stock (NYSE:JNJ)

Real-time price:$155.17

Johnson & Johnson's biggest strength is its diversified business model. It operates through pharmaceuticals, medical devices and consumer products divisions. Its diversification helps it to withstand economic cycles more effectively. J&J has one of the largest research and development (R&D) budget among pharma companies. J&J's worldwide business is divided into three segments: Pharmaceutical, Medical Devices and Consumer. The company has several drugs covering a broad range of areas such as neuroscience, cardiovascular & metabolism, immunology, oncology, pulmonary hypertension and infectious diseases and vaccines. The Medical Devices Segment offers products in the orthopedics, surgery, interventional solutions and vision markets. The Consumer Segment segment includes a broad range of products covering the areas of baby care, beauty/skin health, oral care, wound care and womens' health care, as well as over-the-counter (OTC) pharmaceutical products....

+See More


Here we provide our AYA proprietary alpha stock signals for all premium members on our AYA fintech network platform. Specifically, a high Fama-French multi-factor dynamic conditional alpha suggests that the stock is likely to consistently outperform the broader stock market benchmarks such as S&P 500, Dow Jones, Nasdaq, Russell 3000, MSCI USA, and MSCI World etc. Since March 2023, our proprietary alpha stock signals retain U.S. Patent and Trademark Office (USPTO) fintech patent protection, approval, and accreditation for 20 years. Our homepage and blog articles provide more details on this proprietary alpha stock market investment model with robust long-term historical backtest evidence.

Sharpe-Lintner-Black CAPM alpha (Premium Members Only) Fama-French (1993) 3-factor alpha (Premium Members Only) Fama-French-Carhart 4-factor alpha (Premium Members Only) Fama-French (2015) 5-factor alpha (Premium Members Only) Fama-French-Carhart 6-factor alpha (Premium Members Only) Dynamic conditional 6-factor alpha (Premium Members Only) Last update: Saturday 12 July 2025

Apple Boston

2025-07-11 03:27:42

Bullish

Quantitative fundamental analysis

Our new podcast deep-dives into why working with emotional intelligence can help hone social skills for smarter, better, and more effective leaders, teams, and organizations. EQ often trumps IQ in many aspects of our modern life, business, innovation, and entrepreneurship. We share our rare unique worldviews, insights, growth mindsets, hard truths, and other life lessons with our family and friends, teammates, co-workers, collaborators, and other colleagues. The mainstream handful social skills and emotional competences help lifelong learners better achieve continual personal growth, self-awareness, self-improvement, focus, fulfillment, and resilience through hard times of setbacks, failures, obstacles, difficulties, and disappointments. As part of this new self-improvement book review, we incorporate the key life lessons, insights, worldviews, and viewpoints from the recent non-fiction bestseller, Atomic Habits, by James Clear, all in support of positive habit formation for better social skills and emotional competences.

$APP $DELL $NBIS $HOOD $COIN $XYZ $FOUR $ETON $BUSE $LMND $RKLB $HIMS $RBLX $IONQ $C 

$ZIM $ORCL $CSCO $NET $CRWD $AMC $AEO $PARA $NFLX $DIS $CMCSA $RACE $TM $GM $F $STLA 

$BABA $BIDU $TME $TSM $BILI $IQ $JD $PDD $KKR $NIO $RIVN $XPEV $PLTR $PYPL $V $MA $AXP $T 

$TMUS $VZ $KO $MAC $XOM $PSX $CSV $CSX $CVX $OXY $BP $JNJ $MRK $AMGN $LLY $NVO $BMY 




This fun podcast is about 10 minutes long (with smart AI podcast generation from Google NotebookLM). https://bit.ly/4khouAU

Former New York Times popular science author and Harvard clinical psychologist Daniel Goleman describes and delves into why working with emotional intelligence helps hone our social skills for smarter, better, and more effective leaders, teams, and organizations. Goleman uses, applies, and leverages the mainstream rules of emotional intelligence to the workplace. Being intellectually intelligent counts in our modern business world, but emotionally intelligent social habits, skills, and talents count even more in modern life, business, innovation, and entrepreneurship. With numerous scientific studies, experiments, and anecdotes, Goleman demonstrates that people who harness better emotional competences are more likely to succeed. These social skills often help teams better focus on intellectual research synergies, collaborative projects, and many other productive functions. Emotionally intelligent teams tend to find smarter, faster, better, more flexible, and more effective creative combinations of prior art tests, trials, techniques, and other technological advances for disruptive innovations, blue-ocean niche markets, and competitive advantages. S&P 500 companies that specifically train their senior managers in these emotional competences reap concrete business benefits in terms of higher sales, profits, and operational efficiency gains. In effect, these efficiency gains often tend to manifest in seamless teamwork, personal growth, self-improvement, and real-time feedback. In time, our rare unique growth mindsets, keystone habits, social skills, intellectual focus worldviews, hard truths, and iterative continuous performance improvements combine to help enrich the lives of others in an increasingly inclusive global society. Lifelong learners listen, focus, adapt, respond, and collaborate with others through sound social skills and interpersonal relationships. Senior leaders focus on the big picture, adjust complex gameplay systems, and inspire almost all team players to help attain key results, outcomes, and decisions in the future. In effect, all kinds of effective leaders should focus attention on the vital, practical, and productive uses of internal organizational resources. These resources span rare unique brainpower, professional expertise, AI-driven robots, machines, avatars, and instruments, other technological advances, tangible assets, and so on. Effective leadership requires keeping laser focus on the core values, central beliefs, and life principles. Through corporate conferences, departmental committees, team councils, and one-on-one discussions, senior leaders should communicate their core values, beliefs, and life principles in support of a bolder, bigger, brighter, and broader long-term vision. For better corporate performance, this vision unites, inspires, and motivates most team players to accomplish the medium-term mission, social good, and life purpose. In practice, these effective leaders should align self-awareness and personal growth with the long-term social vision and the medium-term mission for business success. When we focus on helping enrich the lives of others, we remake our best conscious efforts to contribute to the broader social purpose on earth. In a rare unique fashion, we use, apply, and leverage our keystone social skills, talents, core competences, and dynamic capabilities in accordance with God’s will, love, grace, and mercy for all humankind.

Atomic habits serve as the compound interest of self-improvement. Sometimes we remake, reshape, and reinforce small, subtle, persistent, and incremental keystone habits, social skills, intellectual worldviews, prescient insights, dynamic capabilities, and other core competences. As we practice what we preach over many years, we turn these small and subtle keystone habits, social skills, and so on into the positive flywheel effect, or equivalently, our iterative process of building momentum through incremental progress in pushing a big heavy flywheel. In due course, the keystone habits help promote personal growth, system-wide mastery, and self-improvement. Every time we practice some keystone habit, we engage ourselves in a 4-step rote routine system: cue, desire, response, and reward. Specifically, we take some cue from our internal motivation, external validation, or both. This cue triggers some of our positive human desires, demands, emotions, and preferences as we crave love, peace, joy, happiness, fulfillment, and satisfaction in life, business, innovation, and entrepreneurship. We listen, learn, think, feel, and respond to this cue in alignment with our intrinsic desires, demands, emotions, and preferences. As a result, we get some rewards in favor of this 4-step rote routine system for habit formation.

In order to turn these atomic habits into self-fulfilling prophecies, positive feedback loops, or both, we should make these keystone habits easy, obvious, and attractive to us. Specifically, these keystone habits should satisfy some of our human desires, demands, emotions, and preferences. Further, we should apply some habit tracker to measure our small, subtle, persistent, and incremental progress. Also known as the Seinfeld productivity hack, this habit tracker helps ensure that we never fall off the wagon. Key lifelong learners listen, focus, adapt, respond, and collaborate with others through sound social skills and interpersonal relationships. Senior leaders focus on the big picture, adjust complex gameplay systems, and inspire almost all team players to help achieve key results, outcomes, and decisions in the future.

As our modern professional career advances over time, social skills for better inter-personal relationships matter more than cognitive, intellectual, and technical skills. Fortunately, we can remake our best conscious efforts to substantially improve our emotional competences. To improve our social empathy for others, we often learn to listen to others in accordance with their personal needs, desires, demands, and preferences. In addition, we would often better hone our emotional self-awareness during downtime. We should be able to draw upon such self-awareness in a pinch. In practice, we take time to further develop this constant self-awareness over many years. With greater self-mastery, we understand our internal cues, rewards, habits, insights, motives, desires, demands, and preferences in time. Lifelong learners are able to better understand the internal cues, motives, and emotions of others when these lifelong learners fully master their own internal cues, motives, and emotions. This social sensitivity sharpens our emotional radar and vice versa.

When senior leaders seek to change keystone habits, growth mindsets, intellectual focus worldviews, social skills, hard truths, and iterative continuous improvements, these senior leaders learn to provide real-time feedback to almost all team players in our modern life, business, innovation, and even entrepreneurship. This real-time feedback usually serves as the common currency of organizational communication. We celebrate both small wins and major milestones with all of our team players as we make conscious efforts to attain incremental progress in substantially improving our emotional skills, core competences, and dynamic capabilities over time.

We should learn to maintain a good mood with love, peace, and joy. Emotions are contagious, so we should try to spread positive emotions. We should learn to better understand the root causes of positive emotions for ourselves. In this rare unique fashion, we can explain why our positive energy spreads to affect the internal cues, motives, and emotions of others. From candor, honesty, sincerity, and reliability to mutual trust and social sensitivity, many emotional characteristics that help people succeed are vitally important for organizations. Every team’s overall success often depends on the emotional competences of almost all the team players, but not the technical competences of one individual contributor. High-EQ organizations value the bottom-line contributions of almost all the team players who practice soft social skills in their day-to-day workstreams.

Emotional awareness starts with a basic natural attunement to the constant stream of emotions in life, business, innovation, and even entrepreneurship. This constant stream of emotions serves as a rare unique presence in each one of us. We should recognize how these emotions remake, reshape, and reinforce what we think, feel, perceive, and attempt to accomplish in due course. From such self-awareness, we deal with our own emotions. In turn, these emotions transmit to cause changes in the internal cues, motives, rewards, desires, and emotions of others. Many people gravitate toward what gives them emotional value. In essence, this emotional value helps engage these people with greater commitment and internal motivation. As a result, these people remake the best uses of their skills, talents, core competences, and dynamic capabilities in support of the bigger, bolder, brighter, and broader life purpose, social good, or longer-run vision. Sometimes this emotional value means changing jobs to get a better fit with what matters to us. Sometimes this emotional value means stepping into new ventures and disruptive innovations for greater self-employment. This entrepreneurial journey often finds powerful expression through creative combinations of products, services, and even business models. In practice, many entrepreneurs seek this deeply personal evolution by both new triumphs and challenges. Successful founders, innovators, and entrepreneurs pivot, persist, and persevere in their lean-startup ventures, system-wide research pursuits, minimum viable products (MVP), creative solutions, and blue-ocean market strategies.

With better EQ, lifelong learners listen, focus, adapt, respond, and collaborate with others through sound social skills and interpersonal relationships. Star performers who harness better EQ relish change, find exhilaration in the innovation cycle, and even seek to disrupt some strategic sectors with new technological advancements. These lifelong learners question their prior assumptions, remain open to new ideas, and let go of false beliefs and sentiments. As a result, these lifelong learners adapt to swift changes in external circumstances, vicissitudes, scenarios, and episodes. In response to substantial uncertainty, these lifelong learners move fast to disrupt some strategic sectors with their new lean-startup ventures and blue-ocean market strategies.

As we navigate new challenges and opportunities in life, learn to better understand our emotions, and remain resilient despite setbacks, failures, obstacles, difficulties, and disappointments, we can better recover from our bad mood and even distress. This emotional clarity allows us to better manage negative emotions, expectations, and future behavioral responses. With high EQ, we better win friends and influence people in modern life, business, innovation, and even entrepreneurship.

Influence entails handling emotions effectively in others. Star performers are artful at sending emotional signals, and these social signals make these star performers powerful and effective communicators, influencers, and negotiators in modern life, business, innovation, and entrepreneurship. In practice, these leaders are able to sway the target audience in a positive way. Just one cognitive ability distinguishes these leaders and star performers from the average ones: pattern recognition. With this dynamic capability, these leaders, star performers, and lifelong learners focus on the big picture, adjust complex gameplay systems, and inspire all team players to help achieve key results, outcomes, and decisions for the foreseeable future. In time, these leaders empower others to pick out the vital, impactful, and informative trends from the worldwide welter of information overload around them. With sound prescience, these leaders can think strategically far into the future.

Although it is necessary for all team players to brainstorm creative innovations with relevant technical expertise, it is more important for these team players to navigate the web of influence through the organization when we put the creative innovations into practical use. In our life, business, innovation, and entrepreneurship, the art of maximizing intellectual capital requires orchestrating the emotional interactions of the people whose individual minds hold the knowledge, professional expertise, and experience. We listen, learn, focus, adapt, respond, and cope with several different expert views, opinions, judgments, and decisions. It is perfectly fine for us to better understand someone’s alternative viewpoints and perspectives, her emotions, and the root causes of these emotions. Such comprehension may or may not inevitably mean that we embrace these alternative conclusions. In practice, it would be much better for us to incorporate different expert views, opinions, and judgments into our creative innovations in the first place. At the same time, lifelong learners focus their attention on attempting to achieve iterative continuous performance improvements. The new, nonobvious, and useful products, services, solutions, and even business models often lead to disruptive innovations in new niche blue-ocean markets.

Beyond zero tolerance for intolerance, the dynamic capability to leverage diversity revolves around 3 mainstream social skills. The first key social skill requires getting along well with people who may be different in terms of their expert views, opinions, and judgments. The second key social skill requires appreciating the unique styles, ways, and emotions of others in time. The third key social skill requires seizing new business opportunities from many different expert views, opinions, judgments, and even some creative combinations of all the diverse ideas. With these diverse ideas, we lubricate persuasion, personal influence, and leverage by identifying the bonds, links, and commonalities between these diverse ideas. In due course, we take time to establish some of these bonds, links, and commonalities. This process is not a detour, but instead, one essential step toward higher EQ, higher team performance, and broader organizational success.

Below we provide hyperlinks to many other recent podcasts, surveys, research articles, and blog posts on global macro-finance, asset return prediction, trade, technology, fiscal-monetary policy coordination, and fundamental industry analysis for stock market investors worldwide. Key technological advancements include generative artificial intelligence (Gen AI) large language models (LLM), electric vehicles (EV), autonomous robotaxis (AR), virtual reality (VR) headsets, semiconductor microchips, high-speed broadband networks, telecoms, cloud services, social media platforms, quantum computers, and pharmaceutical treatments, medications, and therapies.

Industry Analysis
AYA ebook hyperlink: https://bit.ly/4hxvrwy
AYA ebook length: 283 pages (21 chapters and 122,241 words).

Bidenomics
AYA ebook hyperlink: https://bit.ly/44CdDu7
AYA ebook length: 206 pages (18 chapters and 90,405 words)

Trump Economic Reforms
AYA ebook hyperlink: https://bit.ly/2ZwYfiE
AYA ebook length: 507 pages (21 chapters and 97,854 words)

Modern management macro themes, insights, and worldviews
AYA ebook hyperlink: https://bit.ly/2IezdQh
AYA ebook length: 225 pages (top 40 recent management book reviews)

Economic science macro themes, insights, and worldviews
AYA ebook hyperlink: https://bit.ly/3FaegyI
AYA ebook length: 220 pages (top 40 recent economic science book reviews).

Mitch Anthony explains why it is often important for sales leaders to apply sound social skills and emotional competences to fulfill various customer needs, wants, demands, desires, and other preferences.

Former New York Times science author and Harvard social psychologist Daniel Goleman explains why working with emotional intelligence can help hone social skills for smarter, better, and more effective leaders, teams, and organizations in modern life, business, innovation, and entrepreneurship.

Former New York Times science author and Harvard social psychologist Daniel Goleman explains why greater mental focus serves as a vital mainstream driver of personal growth, success, virtue, happiness, and fulfillment in life, business, innovation, and entrepreneurship.

Former New York Times science author and Harvard social psychologist Daniel Goleman explains why emotional intelligence often serves as a more important critical success factor than high IQ for our success, virtue, and happiness in life, business, innovation, and entrepreneurship.

Former New York Times prolific team author, and Pulitzer Prize winner Charles Duhigg delves into how we can change our lives for the better by mastering our habits from day to day.

Serial venture capitalist Ben Horowitz describes many hard truths, lessons, and insights from his rare unique entrepreneurial journey of running LoudCloud from a Silicon Valley tech startup to a $1.65 billion sale to Hewlett-Packard.

Stanford psychology professor Carol Dweck describes, discusses, and delves into the reasons why the growth mindset helps motivate individuals, teams, and senior managers to accomplish more with greater grit, focus, and resilience.

President Trump poses new threats to Fed Chair monetary policy independence again.

What are the mainstream legal origins of President Trump’s tariff policies?

American exceptionalism often turns out to be the heuristic rule of thumb for better economic growth, low and stable inflation, full employment, and macro-financial stability.

In the broader modern monetary policy context, central banks learn to weigh the trade-offs between output and inflation expectations and macro-financial stress conditions.

Today, tech titans, billionaires, serial entrepreneurs, and venture capitalists continue to reshape and even disrupt global pharmaceutical investments for both better healthspan and longer lifespan.

Artificial intelligence continues to reshape the current global market for better biotech advances, medical innovations, and healthcare services.

The global market for GLP-1 anti-obesity weight-loss treatments now grows substantially to benefit more than 1 billion people worldwide by 2030.

Is higher stock market concentration good or bad for Corporate America?

Geopolitical alignment often reshapes and reinforces asset market fragmentation in the broader context of financial deglobalization.

The global cloud infrastructure helps accelerate the next high-tech revolutions in electric vehicles (EV), virtual reality (VR) headsets, artificial intelligence (AI) online services, and the metaverse.

The new homeland industrial policy stance tilts toward greater global resilience across the major high-tech supply chains worldwide.

China poses new threats to the U.S. and its western allies.

How can generative AI tools and LLMs help enhance human productivity?

What are the macrofinancial ripple effects of central bank digital currency (CBDC) design, issuance, and broad user adoption?

Both BYD and Tesla have become serious global manufacturers of electric vehicles (EV) worldwide.

With U.S. fintech patent approval, accreditation, and protection for 20 years, our AYA fintech network platform provides proprietary alpha stock signals and personal finance tools for stock market investors worldwide.

We build, design, and delve into our new and non-obvious proprietary algorithmic system for smart asset return prediction and fintech network platform automation. Unlike our fintech rivals and competitors who chose to keep their proprietary algorithms in a black box, we open the black box by providing the free and complete disclosure of our U.S. fintech patent publication. In this rare unique fashion, we help stock market investors ferret out informative alpha stock signals in order to enrich their own stock market investment portfolios. With no need to crunch data over an extensive period of time, our freemium members pick and choose their own alpha stock signals for profitable investment opportunities in the U.S. stock market.

Smart investors can consult our proprietary alpha stock signals to ferret out rare opportunities for transient stock market undervaluation. Our analytic reports help many stock market investors better understand global macro trends in trade, finance, technology, and so forth. Most investors can combine our proprietary alpha stock signals with broader and deeper macrofinancial knowledge to win in the stock market.

Through our proprietary alpha stock signals and personal finance tools, we can help stock market investors achieve their near-term and longer-term financial goals. High-quality stock market investment decisions can help investors attain the near-term goals of buying a smartphone, a car, a house, good health care, and many more. Also, these high-quality stock market investment decisions can further help investors attain the longer-term goals of saving for travel, passive income, retirement, self-employment, and college education for children. Our AYA fintech network platform empowers stock market investors through better social integration, education, and technology.

Daniel Goleman explains why working with emotional intelligence helps hone our social skills for smarter, better, and more effective leaders, teams, and organizations in modern life, business, innovation, and entrepreneurship. - Blog - AYA fintech network platform provides proprietary alpha stock signals and personal finance tools for stock market investors.

This new self-improvement book review delves into the non-fiction best-seller, Working with Emotiona...

https://ayafintech.network/blog/self-improvement-book-review-working-with-emotional-intelligence-by-daniel-goleman/

Rose Prince

2025-06-28 03:47:43

Bullish

Quantitative fundamental analysis

Our new podcast deep-dives into the new self-improvement book review of The Power of Habit by Charles Duhigg. Former New York Times prolific team author and Pulitzer Prize winner Charles Duhigg delves into how we can change our lives for the better by mastering our habits from day to day. In essence, keystone habits remake, reshape, and reinforce many other good and robust habits, positive patterns, growth mindsets, hard truths, worldviews, actions, and insights in iterative continuous performance improvements. These vital lessons help us achieve both better personal growth and self-improvement in life, business, innovation, and entrepreneurship.

$CLDX $GRAL $NVO $LLY $MRK $AMGN $JNJ $BMY $PFE $GSK $QNTM $DNA $AGEN $AZN $AZN $C 

$BFLY $CLDX $SDGR $ABBV $PLTR $PYPL $OXY $CSX $CSV $PSX $XOM $BRK.A $BRK.B $JPM $BAC 

$WFC $GS $MS $PNC $V $MA $AXP $T $TMUS $VZ $META $AAPL $MSFT $GOOG $GOOGL $AMZN 

$NVDA $TSLA $NIO $RIVN $XPEV $BABA $BIDU $TME $BILI $IQ $NFLX $DIS $JD $PDD $KKR $WRB 



The original blog article is available on our AYA fintech network platform. https://ayafintech.network/blog/self-improvement-book-review-the-power-of-habit-by-charles-duhigg/

This fun podcast is about 10 minutes long (with smart AI podcast generation from Google NotebookLM). https://bit.ly/3FUTSHs

Former New York Times team journalist and Pulitzer Prize winner Charles Duhigg describes, discusses, and delves into how we can change our own respective lives for the better by mastering our habits from day to day. Duhigg analyzes the central question in life, business, innovation, and entrepreneurship: Why do some people maintain healthy habits and lifestyles, realize professional achievements, and seek to innovate better products and services for the social good, whereas, many others flail and fail in their best conscious efforts? In response to this bigger, brighter, and broader question, Duhigg attributes this dichotomy to the power of habit. As Duhigg explains in detail, successful people have often learned to control-and-change their habits for the better. Specifically, Duhigg describes, discusses, and delves into the 3 major components of the positive habit loop. These 3 major components include the cue for a particular habitual change, the routine process for self-improvement and habitual reinforcement, and the reward system for long-run habitual adaptation. By analyzing why and how many people over-eat, drink alcohol, smoke cigarettes, and so on, Duhigg provides several plausible explanations and actionable insights for these people to break the habit loop. In time, these people form better habits in controlling their human desires. By force of habit, people learn new critical success factors, lessons, insights, and hard truths from Duhigg’s emphasis on the power of habit. In due course, these people embark on a new relentless life journey for better self-improvement.

Habits refer to several major recurrent actions, lifestyles, and behaviors for people to navigate through new threats, risks, challenges, and opportunities in the modern life journey. People first decide to deliberately engage in these key habits by choice, and these people keep these key habits subconsciously over a longer time horizon. People can change their bad habits if they learn how habits operate in the positive habit loop. The habit loop comprises 3 major components: cue, routine, and reward. Some habitual cue motivates someone into a routine process to reap results in the broader reward system. Better understanding how habits fit into these 3 habit loop stages can help each one of us change habits for the better. It is often hard, tough, and difficult for people to change their respective habits because these habits fulfill human desires with sound satisfaction. However, people can learn not to respond to the initial cue for some habit, as well as the potential rewards for this habit, with the same old routine process. For instance, Starbucks teaches all of its employees willpower by training them to remain calm in response to some inflection points, or some situations where these employees would probably experience substantially weaker self-discipline. Altering some keystone habits helps start good new actions, mindsets, and behaviors in place of bad old habits.

The biggest American retailers, Amazon, Target, Walmart, P&G, and Home Depot often sell to consumers by analyzing their shopping habits. From month to month, these shopping habits help reinforce some specific patterns of retail commerce in the major metropolitan cities and regions across the country. Paul O’Neill of Alcoa, Howard Schultz of Starbucks, former American football safety coach Tony Dungy, and Martin Luther King continue to shape social changes and cultural movements by building new good habits, mindsets, values, cultures, actions, and behaviors as a replacement for old bad ones.

Habits arise, emerge, and persist often because the human brain constantly looks for new and optimal ways, lifestyles, and solutions to save time, effort, energy, and consideration. The human brain often cannot tell the difference between bad and good habits. If we have a bad habit, this bad habit always lurks there in the human brain, waiting for the right cues and rewards. As we associate the central cues with some potential rewards, some subconscious human desire emerges in the human brain. This human desire starts, spins, and sustains the positive habit loop. Human desires drive habits. For this reason, it is easier for us to develop a new habit when we figure out how we can better spark some human desire.

To change an old bad habit, we should address some old human desire. We would need to keep the same cues and rewards as before. At the same time, we should feed the same human desire by inserting a new routine process. This new routine process connects the dots between the same cues and rewards in support of better human satisfaction with respect to the same human desire. In clinical trials, doctors ask patients to describe what triggers their habitual actions, desires, and behaviors with greater focus, self-awareness, internal motivation, persistence, and resilience. For instance, Alcoholics Anonymous (AA) recovery programs insist on forcing their alcoholics to recognize their initial cues. This greater self-awareness serves as the first step in habit reversal.

Further, some habits have the power to start a chain reaction. These habits change other habits as they move through a new organization. Keystone habits start a new routine process in support of gradual transformation in all major aspects of modern life, business, innovation, and entrepreneurship. New positive cultures grow out of these keystone habits in every new organization, whether leaders are aware of the new cultures and keystone habits or not. Just as choosing the right keystone habits can create radical and revolutionary positive changes in human mindsets, insights, actions, and behaviors, the wrong keystone habits can create human disasters too. In our global society, a new social movement starts because of the positive habits of friendship, as well as the social ties of rapport between close friends, co-workers, and other acquaintances. This fresh social movement grows substantially within a short time frame due to the weak ties for holding clans and neighborhoods together, as well as the positive habits of a broader community. In theory, in practice, or both, this new social movement endures often because the leaders often tend to provide participants with new, non-obvious, useful, and creative habits, cultures, mindsets, insights, actions, and behaviors. In turn, these new habits create a fresh sense of identity. In time, this fresh sense of identity often empowers numerous participants to feel their broader, better, and greater ownership of the new social movement. In this new routine process, these various participants become part of the social good. At the same time, these participants gently learn to apply this new routine process to connect the dots between the same cues and rewards. In the rare unique fashion, human willpower becomes a new habit. By choosing a new set of mindsets, actions, and behaviors well ahead of time, participants follow some new routine process in support of the broader social movement. This new positive social movement arises at particular inflection points, junctures, and episodes of human history.

Below we provide hyperlinks to many other recent podcasts, surveys, research articles, and blog posts on global macro-finance, asset return prediction, trade, technology, fiscal-monetary policy coordination, and fundamental industry analysis for stock market investors worldwide. Key technological advancements include generative artificial intelligence (Gen AI) large language models (LLM), electric vehicles (EV), autonomous robotaxis (AR), virtual reality (VR) headsets, semiconductor microchips, high-speed broadband networks, telecoms, cloud services, social media platforms, quantum computers, and pharmaceutical treatments, medications, and therapies.

Former New York Times science author and Harvard social psychologist Daniel Goleman explains why greater mental focus serves as a vital mainstream driver of personal growth, success, virtue, happiness, and fulfillment in life, business, innovation, and entrepreneurship.

Former New York Times science author and Harvard social psychologist Daniel Goleman explains why emotional intelligence often serves as a more important critical success factor than high IQ for our success, virtue, and happiness in life, business, innovation, and entrepreneurship.

Former New York Times prolific team author, and Pulitzer Prize winner Charles Duhigg delves into how we can change our lives for the better by mastering our habits from day to day.

Serial venture capitalist Ben Horowitz describes many hard truths, lessons, and insights from his rare unique entrepreneurial journey of running LoudCloud from a Silicon Valley tech startup to a $1.65 billion sale to Hewlett-Packard.

Stanford psychology professor Carol Dweck describes, discusses, and delves into the reasons why the growth mindset helps motivate individuals, teams, and senior managers to accomplish more with greater grit, focus, and resilience.

President Trump poses new threats to Fed Chair monetary policy independence again.

What are the mainstream legal origins of President Trump’s tariff policies?

American exceptionalism often turns out to be the heuristic rule of thumb for better economic growth, low and stable inflation, full employment, and macro-financial stability.

In the broader modern monetary policy context, central banks learn to weigh the trade-offs between output and inflation expectations and macro-financial stress conditions.

Today, tech titans, billionaires, serial entrepreneurs, and venture capitalists continue to reshape and even disrupt global pharmaceutical investments for both better healthspan and longer lifespan.

Artificial intelligence continues to reshape the current global market for better biotech advances, medical innovations, and healthcare services.

The global market for GLP-1 anti-obesity weight-loss treatments now grows substantially to benefit more than 1 billion people worldwide by 2030.

Is higher stock market concentration good or bad for Corporate America?

Geopolitical alignment often reshapes and reinforces asset market fragmentation in the broader context of financial deglobalization.

The global cloud infrastructure helps accelerate the next high-tech revolutions in electric vehicles (EV), virtual reality (VR) headsets, artificial intelligence (AI) online services, and the metaverse.

The new homeland industrial policy stance tilts toward greater global resilience across the major high-tech supply chains worldwide.

China poses new threats to the U.S. and its western allies.

How can generative AI tools and LLMs help enhance human productivity?

What are the macrofinancial ripple effects of central bank digital currency (CBDC) design, issuance, and broad user adoption?

Both BYD and Tesla have become serious global manufacturers of electric vehicles (EV) worldwide.

With U.S. fintech patent approval, accreditation, and protection for 20 years, our AYA fintech network platform provides proprietary alpha stock signals and personal finance tools for stock market investors worldwide.

We build, design, and delve into our new and non-obvious proprietary algorithmic system for smart asset return prediction and fintech network platform automation. Unlike our fintech rivals and competitors who chose to keep their proprietary algorithms in a black box, we open the black box by providing the free and complete disclosure of our U.S. fintech patent publication. In this rare unique fashion, we help stock market investors ferret out informative alpha stock signals in order to enrich their own stock market investment portfolios. With no need to crunch data over an extensive period of time, our freemium members pick and choose their own alpha stock signals for profitable investment opportunities in the U.S. stock market.

Smart investors can consult our proprietary alpha stock signals to ferret out rare opportunities for transient stock market undervaluation. Our analytic reports help many stock market investors better understand global macro trends in trade, finance, technology, and so forth. Most investors can combine our proprietary alpha stock signals with broader and deeper macrofinancial knowledge to win in the stock market.

Through our proprietary alpha stock signals and personal finance tools, we can help stock market investors achieve their near-term and longer-term financial goals. High-quality stock market investment decisions can help investors attain the near-term goals of buying a smartphone, a car, a house, good health care, and many more. Also, these high-quality stock market investment decisions can further help investors attain the longer-term goals of saving for travel, passive income, retirement, self-employment, and college education for children. Our AYA fintech network platform empowers stock market investors through better social integration, education, and technology.

Former New York Times team journalist and Pulitzer Prize winner Charles Duhigg delves into how we can change our lives for the better by mastering our habits from day to day. - Blog - AYA fintech network platform provides proprietary alpha stock signals and personal finance tools for stock market investors.

This new self-improvement book review delves into the non-fiction best-seller, The Power of Habit, w...

https://ayafintech.network/blog/self-improvement-book-review-the-power-of-habit-by-charles-duhigg/

James Campbell

2025-06-25 03:10:13

Bullish

Qualitative fundamental analysis

Our new podcast deep-dives into the serial venture capitalist Ben Horowitz’s hard truths, lessons, and insights from his rare unique entrepreneurial journey of running LoudCloud from a Silicon Valley tech startup to a $1.65 billion sale to Hewlett-Packard. In essence, keystone habits remake, reshape, and reinforce many other good and robust habits, positive patterns, growth mindsets, hard truths, worldviews, actions, and insights in iterative continuous performance improvements. These vital lessons help us achieve both better personal growth and self-improvement in life, business, innovation, and entrepreneurship.

$META $AAPL $MSFT $GOOG $GOOGL $AMZN $NVDA $TSLA $NIO $RIVN $XPEV $KKR $AMD $ARM 

$QCOM $AVGO $IONQ $QBTS $QUBT $RGTI $ZIM $SNOW $NET $CRWD $AMC $AEO $PARA $RACE 

$TM $GM $F $V $MA $AXP $PYPL $PLTR $EBAY $ETSY $ORCL $ASML $CSCO $IBM $INTC $BABA $T 

$TMUS $VZ $BAC $C $JPM $WFC $MS $GS $PNC $DIS $NFLX $WRB $OXY $PSX $CSV $CSX $BABA 

$TME $BIDU $BILI $IQ $JD $PDD $DOCU $TSM $JNJ $BMY $LLY $NVO $GSK $MRNA $AZN $BNT $PFE 



The original blog article is available on our AYA fintech network platform. https://ayafintech.network/blog/self-improvement-book-review-the-hard-thing-about-hard-things-by-ben-horowitz/

This fun podcast is about 10 minutes long (with smart AI podcast generation from Google NotebookLM). https://bit.ly/3FJ3fKl

Serial venture capitalist Ben Horowitz describes, discusses, and delves into many hard truths, lessons, and insights from his own rare unique entrepreneurial journey of running LoudCloud from a Silicon Valley tech startup to an eventual impressive $1.65 billion sale to Hewlett-Packard. From the 1990s to the early-2000s, Horowitz guided LoudCloud through many life-or-death struggles before he managed to sell the first-generation cloud company to Hewlett-Packard. Horowitz shows that there is neither formula nor recipe for founders, directors, senior managers, and venture capitalists to promise entrepreneurial success. Throughout this book on hard truths in his rare unique entrepreneurial journey, Horowitz serves as a first-rate storyteller and a vitally irreverent mentor who uses proverbs, allusions, and metaphors from Jay Z and Kanye West to Clint Eastwood to Dr Seuss. Many business leaders can find worthy advice, support, and guidance from this exhortation to persist through the common entrepreneurial struggle. These business leaders learn many lessons, hard truths, and actionable insights from Horowitz’s part scratch sheet, part guide book, and part autobiography.

Horowitz felt both the essential need and internal motivation for him to write a new book on his own entrepreneurial journey when he realized that many management books for self-help almost never disclose the hard truths in entrepreneurship. The hard truth is not setting a big, hairy, and audacious goal, mission, or social purpose. The hard truth is laying off hundreds of co-workers when the company misses the near-term goal. The hard truth is not hiring great people or managing smart teams. The hard truth happens out of the blue when these great people and smart teams develop a sense of entitlement with unreasonable demands, requests, preferences, and expectations from the lean startup. The hard truth is not setting up a new, lean, flat, or hierarchical organizational chart. The hard truth is getting great people and smart teams to communicate effectively within the new organization. The hard truth is not thinking big or dreaming big. The hard truth is waking up in the middle of the night in cold sweat when the dream turns into a nightmare.

Horowitz points out the major common problem with many management books on self-help, self-improvement, self-enrichment, and innovation and entrepreneurship: their authors often attempt to provide a formulaic recipe for lean startup challenges; however, there are no recipes for such business challenges. There is no recipe for complex and dynamic business situations, scenarios, and transitions. There is no recipe for building a high-tech company with lean cost structure. There is no recipe for leading great people and smart teams out of setbacks, failures, difficulties, and disappointments. There is no recipe for making a series of hits, products, services, and disruptive innovations in higher technology. There is no recipe for playing NFL quarterback, NBA center, or MLB slugger. There is no recipe for running for office. There is no recipe for leading smart teams out of trouble when the business is near bankruptcy. After all, there is no formula for dealing with all of these hard truths. In this negative light, Horowitz highlights the vital importance and practical relevance of leading smart teams to navigate through numerous setbacks, failures, difficulties, and disappointments amid substantial market uncertainty. Nevertheless, Horowitz provides many bits and pieces of prescient advice, support, and guidance to help new business leaders better cope with these hard truths. When business leaders confront these brutal facts and hard truths, these co-founders, directors, and senior managers often find no easy answers in life, innovation, and entrepreneurship.

In each wave of massive layoffs, senior managers should lay off their own people directly with proper eye contact, further career support, compassion, and empathy. In practice, these senior managers cannot and should not pass this difficult task to HR advisors, external recruiters, or headhunters. Each smart team member would naturally ponder this way: If the CEO hired me and I busted my ass working for the CEO and the company, I expect the CEO to have the courage to lay me off directly. Specifically, senior managers should emphasize the basic but brutal fact that these layoffs are the company’s epic failures. At the same time, these senior managers should make their best efforts to emphasize that these layoffs are not the personal failures of individual contributors, teams, or other corporate staff members. One of the most essential tasks for founders, CEOs, and senior managers involves getting great people to work for the company in support of the bigger, bolder, brighter, and broader corporate vision, mission, or social purpose. Even with all the good advice, support, guidance, and hindsight in the world, hard truths continue to be hard truths in reality.

Below we provide hyperlinks to many other recent podcasts, surveys, research articles, and blog posts on global macro-finance, asset return prediction, trade, technology, fiscal-monetary policy coordination, and fundamental industry analysis for stock market investors worldwide. Key technological advancements include generative artificial intelligence (Gen AI) large language models (LLM), electric vehicles (EV), autonomous robotaxis (AR), virtual reality (VR) headsets, semiconductor microchips, high-speed broadband networks, telecoms, cloud services, social media platforms, quantum computers, and pharmaceutical treatments, medications, and therapies.

Former New York Times science author and Harvard social psychologist Daniel Goleman explains why emotional intelligence often serves as a more important critical success factor than high IQ for our success, virtue, and happiness in life, business, innovation, and entrepreneurship.

Former New York Times prolific team author, and Pulitzer Prize winner Charles Duhigg delves into how we can change our lives for the better by mastering our habits from day to day.

Serial venture capitalist Ben Horowitz describes many hard truths, lessons, and insights from his rare unique entrepreneurial journey of running LoudCloud from a Silicon Valley tech startup to a $1.65 billion sale to Hewlett-Packard.

Stanford psychology professor Carol Dweck describes, discusses, and delves into the reasons why the growth mindset helps motivate individuals, teams, and senior managers to accomplish more with greater grit, focus, and resilience.

President Trump poses new threats to Fed Chair monetary policy independence again.

What are the mainstream legal origins of President Trump’s tariff policies?

American exceptionalism often turns out to be the heuristic rule of thumb for better economic growth, low and stable inflation, full employment, and macro-financial stability.

In the broader modern monetary policy context, central banks learn to weigh the trade-offs between output and inflation expectations and macro-financial stress conditions.

Today, tech titans, billionaires, serial entrepreneurs, and venture capitalists continue to reshape and even disrupt global pharmaceutical investments for both better healthspan and longer lifespan.

Artificial intelligence continues to reshape the current global market for better biotech advances, medical innovations, and healthcare services.

The global market for GLP-1 anti-obesity weight-loss treatments now grows substantially to benefit more than 1 billion people worldwide by 2030.

Is higher stock market concentration good or bad for Corporate America?

Geopolitical alignment often reshapes and reinforces asset market fragmentation in the broader context of financial deglobalization.

The global cloud infrastructure helps accelerate the next high-tech revolutions in electric vehicles (EV), virtual reality (VR) headsets, artificial intelligence (AI) online services, and the metaverse.

The new homeland industrial policy stance tilts toward greater global resilience across the major high-tech supply chains worldwide.

China poses new threats to the U.S. and its western allies.

How can generative AI tools and LLMs help enhance human productivity?

What are the macrofinancial ripple effects of central bank digital currency (CBDC) design, issuance, and broad user adoption?

Both BYD and Tesla have become serious global manufacturers of electric vehicles (EV) worldwide.

With U.S. fintech patent approval, accreditation, and protection for 20 years, our AYA fintech network platform provides proprietary alpha stock signals and personal finance tools for stock market investors worldwide.

We build, design, and delve into our new and non-obvious proprietary algorithmic system for smart asset return prediction and fintech network platform automation. Unlike our fintech rivals and competitors who chose to keep their proprietary algorithms in a black box, we open the black box by providing the free and complete disclosure of our U.S. fintech patent publication. In this rare unique fashion, we help stock market investors ferret out informative alpha stock signals in order to enrich their own stock market investment portfolios. With no need to crunch data over an extensive period of time, our freemium members pick and choose their own alpha stock signals for profitable investment opportunities in the U.S. stock market.

Smart investors can consult our proprietary alpha stock signals to ferret out rare opportunities for transient stock market undervaluation. Our analytic reports help many stock market investors better understand global macro trends in trade, finance, technology, and so forth. Most investors can combine our proprietary alpha stock signals with broader and deeper macrofinancial knowledge to win in the stock market.

Through our proprietary alpha stock signals and personal finance tools, we can help stock market investors achieve their near-term and longer-term financial goals. High-quality stock market investment decisions can help investors attain the near-term goals of buying a smartphone, a car, a house, good health care, and many more. Also, these high-quality stock market investment decisions can further help investors attain the longer-term goals of saving for travel, passive income, retirement, self-employment, and college education for children. Our AYA fintech network platform empowers stock market investors through better social integration, education, and technology.

Ben Horowitz shares many hard truths, setbacks, failures, obstacles, difficulties, and disappointments through his rare unique entrepreneurial journey at LoudCloud. - Blog - AYA fintech network platform provides proprietary alpha stock signals and personal finance tools for stock market investors.

This book summary describes and delves into Ben Horowitz's entrepreneurial journey at LoudCloud-Opsw...

https://ayafintech.network/blog/self-improvement-book-review-the-hard-thing-about-hard-things-by-ben-horowitz/

Apple Boston

2025-06-18 02:17:01

Bullish

Quantitative fundamental analysis

Our new podcast deep-dives into the pros and cons, costs and benefits, and policy implications of increasingly higher stock market concentration in America. This new vitally important mega trend has profound policy implications for stock market investors worldwide. This fundamental analysis shines new light on the recent contrast between value and growth stocks. In recent times, the current higher stock market valuations of the Magnificent 7 tech titans now appear to embed greater growth expectations in relation to the recent AI-led stock market rally. From Apple, Amazon, and Microsoft to Meta and Google, these tech titans rely upon the steady flows of high-end semiconductor microchips, graphical processing units (GPU), and several other quantum advances to make iterative continuous improvements for their Generative AI large language models (Gen AI LLM). As of mid-March 2025, we believe the current Gen AI LLM bellwethers include: Google Gemini, Meta Llama, Microsoft-OpenAI ChatGPT, Anthropic Claude, Perplexity, Alibaba Qwen, DeepSeek, Amazon Nova, Mistral, and Twitter xAI Grok.

$IONQ $ZIM $DOCU $ORCL $CSCO $NET $CRWD $AMC $PARA $AEO $WLY $SNOW $GRAL $NVO $V 

$MA $AXP $PNC $MS $GS $HPE $IBM $MRK $LLY $GSK $BMY $JNJ $PYPL $PLTR $T $TMUS $VZ $C 

$MAC $AMGN $RAIL $QABA $DADA $PACK $LAKE $LCID $F $GM $TM $STLA $NIO $RIVN $XPEV $Z 



The original blog article is available on our AYA fintech network platform. https://ayafintech.network/blog/is-higher-stock-market-concentration-good-or-bad-for-corporate-america/

This fun podcast is about 10 minutes long (with smart AI podcast generation from Google NotebookLM). https://bit.ly/3F1fpgN

In recent years, S&P 500 stock market returns exhibit spectacular concentration in the top tech titans Meta ($META), Apple ($AAPL), Microsoft ($MSFT), Google ($GOOG), Amazon ($AMZN), Nvidia ($NVDA), and Tesla ($TSLA), also known as MAMGANT or Magnificent 7. In the past years from January 2022 to December 2024, the Magnificent 7 delivered a hefty stock market return of 41% (versus only 17% for the other 493 stocks in the S&P 500 index). As of early-March 2025, the S&P 500 index shows substantial stock market concentration. Specifically, the top 10 stocks account for more than 35% of S&P 500 market capitalization. Historically, the top 10 stocks represented more than 20% of S&P 500 market capitalization over the past few decades. Further, the market capitalization of the largest stock relative to the top quartile stock now shows the highest level of stock market concentration since 1932. Although there has been no clear relationship between stock market concentration and near-term return performance, some economists and institutional investors express their concern about increasingly higher stock market concentration in NYSE and Nasdaq. Solid sales and profits in Corporate America can help substantially boost the S&P 500 index, perhaps from 6,000 points to 6,500 points, in the next few years. In this positive light, we can expect S&P 500 stocks, specifically the Magnificent 7 tech titans, to out-perform with a hefty 9% average return per annum in the next few years. Our fundamental analysis combines our proprietary alpha stock signals with ESG scores to lend credence to some of the tech titans in S&P 500 and more broadly Corporate America, especially the top tech titans with significant AI-driven technological advancements.

Stock market investors need not worry about higher market concentration in the longer term. American history shows that high stock market concentration usually leads to lower average returns ceteris paribus over longer investment horizons. When we add market concentration as a distinct variable to the long-run stock market return model, the model forecasts average S&P 500 annual returns of 3%-5% in each decade. Although this subpar return performance falls short of the historical average return of 11% for S&P 500, this drag on long-run returns arises from the greater volatility of tech titan stock returns. In recent times, the current higher stock market valuations of the Magnificent 7 tech titans now appear to embed greater growth expectations in relation to the recent AI-led stock market rally. From Apple ($AAPL), Amazon ($AMZN), and Microsoft ($MSFT) to Meta ($META) and Google ($GOOG), these tech titans rely upon the steady flows of high-end semiconductor microchips, graphical processing units (GPU), and several other quantum advances to make iterative continuous improvements for their Generative AI large language models (Gen AI LLM). As of mid-March 2025, we believe the current Gen AI LLM bellwethers include: Google Gemini, Meta Llama, Microsoft-OpenAI ChatGPT, Anthropic Claude, Perplexity, Alibaba Qwen, DeepSeek, Amazon Nova, Mistral, and Twitter xAI Grok.

After all, stock market concentration per se should not be a major concern for U.S. investors. This concentration often turns out to be a mainstream mechanical result of winner-takes-all sales and profits in AI-driven markets such as Internet search, text, voice, vision, video, and some smart combinations of these common forms of content generation. Specifically, stock market concentration need not heighten the 2 key types of stock market risks: fundamental risks and disequilibrium risks. The former relate to unlikely structural declines in fundamental sales and profits for S&P 500 tech titans, and the latter relate to short-term deviations from fair market values. Although some of the S&P 500 tech stocks seem to reach a new steady state of stock market over-valuation, we believe the vast majority of S&P 500 tech titans can benefit substantially from the broader AI stock market rally to explore new niche markets for both institutional investors and retail investors. In a positive light, stock market concentration need not be a major concern for U.S. investors in a fundamental view. However, we believe U.S. investors should refrain from placing big bets on the recent extreme winners, because their substantially higher market valuations may or may not justify their fundamental forces in the broader context of medium-term competitive threats. At least some of the recent AI-driven winners cannot sustain their greater growth expectations and longer-term competitive advantages. It takes time for U.S. investors to better assess whether each of these AI-driven winners passes the baseline proof of concept for the optimal product-market fit.

Over the past 60 years, no more than 3% of S&P 500 companies were able to sustain 20%+ sales growth for 10 consecutive years. We can back up this empirical result with Jim Collins’s seminal research on what makes great companies tick in his strategic management books: Built to Last, Good to Great, Great by Choice, and Beyond Entrepreneurship 2.0. Therefore, it is hard for the recent AI-driven tech winners to sustain their stock market outperformance in the long run. For at least some of these recent growth stocks, the probable mean reversion of returns can result in future under-performance, especially when their future fundamental sales and profits dwindle, dry up, and then fail to allow these recent winners to dominate in the respective AI-driven markets and adjacent niche segments.

The U.S. regulators should step in when the AI-driven tech titans use their market power to stave off both their rivals and competitors with higher product prices. To the extent that stock market concentration may stifle subsequent disruptive innovations, the Securities Exchange Commission (SEC), Federal Trade Commission (FTC), and Department of Justice (DoJ) etc should introduce new antitrust rules and regulations to make American tech titans face fierce competitive pressure with no clear dominance in any particular AI-driven market. The classic examples include: Apple App Store and Google Play in the mobile software market; Amazon e-commerce in the retail market for consumer goods; Nvidia GPUs, microchips, and several other hardware advances in the semiconductor industry; and Tesla in the global market for electric vehicles (EV) and autonomous robotaxis (AR).

This current high stock market concentration serves as one of the mainstream reasons for U.S. investors to further diversify exposures across asset classes, regions, and strategies. The historically optimal portfolio mix of 60% stocks and 40% bonds remains empirically valid, relevant, profitable, and reasonable in a fundamental view. In light of the still-solid sales and profits in the AI-driven sections of Corporate America, we believe the optimal portfolio combo of 60% stocks and 40% bonds continues to serve as the mainstream economic engine for the global asset management industry, specifically BlackRock, State Street, and Vanguard. U.S. investors need to revisit their optimal choices of AI-driven stocks with new fundamental competitive moats, substantial safety margins, positive network effects, cost economies, and information cascades.

Below we provide hyperlinks to many other recent podcasts, surveys, research articles, and blog posts on global macro-finance, asset return prediction, trade, technology, fiscal-monetary policy coordination, and fundamental industry analysis for stock market investors worldwide. Key technological advancements include generative artificial intelligence (Gen AI) large language models (LLM), electric vehicles (EV), autonomous robotaxis (AR), virtual reality (VR) headsets, semiconductor microchips, high-speed broadband networks, telecoms, cloud services, social media platforms, quantum computers, and pharmaceutical treatments, medications, and therapies.

Former New York Times science author and Harvard social psychologist Daniel Goleman explains why emotional intelligence often serves as a more important critical success factor than high IQ for our success, virtue, and happiness in life, business, innovation, and entrepreneurship.

Former New York Times prolific team author, and Pulitzer Prize winner Charles Duhigg delves into how we can change our lives for the better by mastering our habits from day to day.

Serial venture capitalist Ben Horowitz describes many hard truths, lessons, and insights from his rare unique entrepreneurial journey of running LoudCloud from a Silicon Valley tech startup to a $1.65 billion sale to Hewlett-Packard.

Stanford psychology professor Carol Dweck describes, discusses, and delves into the reasons why the growth mindset helps motivate individuals, teams, and senior managers to accomplish more with greater grit, focus, and resilience.

What are the mainstream legal origins of President Trump’s tariff policies?

American exceptionalism often turns out to be the heuristic rule of thumb for better economic growth, low and stable inflation, full employment, and macro-financial stability.

In the broader modern monetary policy context, central banks learn to weigh the trade-offs between output and inflation expectations and macro-financial stress conditions.

Today, tech titans, billionaires, serial entrepreneurs, and venture capitalists continue to reshape and even disrupt global pharmaceutical investments for both better healthspan and longer lifespan.

Artificial intelligence continues to reshape the current global market for better biotech advances, medical innovations, and healthcare services.

The global market for GLP-1 anti-obesity weight-loss treatments now grows substantially to benefit more than 1 billion people worldwide by 2030.

Is higher stock market concentration good or bad for Corporate America?

Geopolitical alignment often reshapes and reinforces asset market fragmentation in the broader context of financial deglobalization.

The global cloud infrastructure helps accelerate the next high-tech revolutions in electric vehicles (EV), virtual reality (VR) headsets, artificial intelligence (AI) online services, and the metaverse.

The new homeland industrial policy stance tilts toward greater global resilience across the major high-tech supply chains worldwide.

China poses new threats to the U.S. and its western allies.

How can generative AI tools and LLMs help enhance human productivity?

What are the macrofinancial ripple effects of central bank digital currency (CBDC) design, issuance, and broad user adoption?

Both BYD and Tesla have become serious global manufacturers of electric vehicles (EV) worldwide.

With U.S. fintech patent approval, accreditation, and protection for 20 years, our AYA fintech network platform provides proprietary alpha stock signals and personal finance tools for stock market investors worldwide.

We build, design, and delve into our new and non-obvious proprietary algorithmic system for smart asset return prediction and fintech network platform automation. Unlike our fintech rivals and competitors who chose to keep their proprietary algorithms in a black box, we open the black box by providing the free and complete disclosure of our U.S. fintech patent publication. In this rare unique fashion, we help stock market investors ferret out informative alpha stock signals in order to enrich their own stock market investment portfolios. With no need to crunch data over an extensive period of time, our freemium members pick and choose their own alpha stock signals for profitable investment opportunities in the U.S. stock market.

Smart investors can consult our proprietary alpha stock signals to ferret out rare opportunities for transient stock market undervaluation. Our analytic reports help many stock market investors better understand global macro trends in trade, finance, technology, and so forth. Most investors can combine our proprietary alpha stock signals with broader and deeper macrofinancial knowledge to win in the stock market.

Through our proprietary alpha stock signals and personal finance tools, we can help stock market investors achieve their near-term and longer-term financial goals. High-quality stock market investment decisions can help investors attain the near-term goals of buying a smartphone, a car, a house, good health care, and many more. Also, these high-quality stock market investment decisions can further help investors attain the longer-term goals of saving for travel, passive income, retirement, self-employment, and college education for children. Our AYA fintech network platform empowers stock market investors through better social integration, education, and technology.

Is higher stock market concentration good or bad for Corporate America? - Blog - AYA fintech network platform provides proprietary alpha stock signals and personal finance tools for stock market investors.

This article delves into the pros and cons of increasingly higher stock market concentration in Amer...

https://ayafintech.network/blog/is-higher-stock-market-concentration-good-or-bad-for-corporate-america/

Monica McNeil

2025-06-13 07:31:20

Bullish

Quantitative fundamental analysis

Our new podcast deep-dives into President Trump’s recent criticisms of Fed Chair monetary policy independence again. We believe President Trump would not directly challenge central bank independence by seeking some alternative Supreme Court judgment by contrast to the landmark 1935 Humphrey’s Executor precedent. In the best likelihood of success, President Trump might appoint a political ally to be the new Fed Chair as a replacement for the current Fed Chair Jerome Powell in May 2026.

$IONQ $ZIM $DOCU $COST $HD $PG $WMT $TGT $CVX $PARA $NFLX $DIS $T $TMUS $VZ $V $MA 

$AXP $PNC $MS $GS $HPE $CSCO $ORCL $IBM $SNPS $NET $CRWD $ARM $AMD $AVGO $QCOM 

$PFE $MRK $JNJ $BMY $LLY $NVO $GSK $MRNA $AZN $BNT $AEO $AMC $RACE $F $GM $TM $OXY 



The original blog article is available on our AYA fintech network platform. https://ayafintech.network/blog/president-trump-poses-new-threats-to-fed-chair-monetary-policy-independence-again/

This fun podcast is about 10 minutes long (with smart AI podcast generation from Google NotebookLM). https://bit.ly/4ebeoQH

We describe, discuss, and delve into the mainstream reasons, concerns, and considerations for President Trump to pose recent threats to the Federal Reserve System’s monetary policy independence again. The Trump administration seems to set in motion a new challenge to the landmark 1935 Humphrey’s Executor judgment from the Supreme Court. This landmark Supreme Court judgment has prevented all American presidents from removing government officers of independent agencies without any cause. In 1933, President Roosevelt fired Bill Humphrey from the Federal Trade Commission (FTC) without any cause, although the FTC Act permitted such dismissal only for inefficiency, neglect of duty, or malfeasance in office. In 1935, the Supreme Court ruled this presidential dismissal invalid, and hence distinguished FTC commissioners as quasi-legislative or quasi-judicial officers, not executive officers, that might be subject to presidential removal only with sound, fair, and just legitimate procedures in accordance with the key statutes set by Congress. In addition, the Supreme Court upheld the Independent Counsel Act of 1978 to affirm that Congress could create key independent agencies with restrictive removal protections for these officers. In America, the independent agencies include the American Federal Reserve System (FRS), Federal Trade Commission (FTC), Environmental Protection Agency (EPA), Fannie Mae, Freddie Mac, National Labor Relations Board (NLRB), as well as Public Company Accounting Oversight Board (PCAOB), among others.

The Federal Reserve System retains instrument independence, but not goal independence, in the wider context of the statutory dual mandate for monetary policy. In effect, the Federal Reserve System has the freedom to apply its monetary policy tools and instruments without political interference in accordance with the narrow dual mandate of both price stability and maximum employment in America. This dual mandate combines with only several monetary policy tools, instruments, and market operations to suggest that the Federal Reserve System keeps narrow independence under sound, robust, and efficient statutory conditions.

For the Federal Reserve System as an independent government agency, this independence remains vital to produce better economic outcomes, specifically low and stable inflation and broader economic growth. In a counterfactual scenario where the American politicians could instruct the Fed Chair to steer monetary policy decisions with further interest rate cuts, such political interference would risk plunging the American economy back into severe stagflation in the 1970s. When we take into account the empirical studies from central banks worldwide, we infer that a presidentially driven shift toward a less independent Federal Reserve System would likely lead to higher inflation, higher long-end Treasury bond interest rates, lower stock market prices and returns, and a substantially weaker American dollar. These 2 latter ripple effects on asset prices and exchange rates would turn out to be more severe in the broader global context when the central bank officers were subject to presidential removal, dismissal, or relegation without any cause, such as inefficiency, neglect of duty, or malfeasance.

In American financial history, the president has never been able to remove Fed Chair without cause. If the Supreme Court overturned the landmark 1935 Humphrey’s Executor for-cause removal protection, this surprise judgment would inexorably usher in a new open season on appointees across all of the relevant independent government agencies in America. Even if the Supreme court overturned this for-cause removal protection, the Fed Chair and several other senior officers could still receive exemptions in light of the Federal Reserve System’s rare unique position among the American independent government agencies.

In the best likelihood of success, President Trump may not be able to fire Fed Chair Jerome Powell and other monetary policy decision-makers within the Federal Reserve System; but, President Trump could simply appoint a new political ally as Fed Chair upon the end of Chair Powell’s second term in May 2026. Given the rigorous Senate confirmation process for Fed Chair and other senior officers within the Federal Reserve System, as well as the committee structure of the Federal Open Market Committee (FOMC), the Fed Chair often tends to be extremely influential over monetary policy decisions, interest rate adjustments, and several other macro-financial affairs. In addition to the Fed Chair, the FOMC comprises 12 monetary policy advisors, officers, and decision-makers with the 7 members of the Board of Governors, the president of the Federal Reserve Bank of New York, and 4 of the other 11 Reserve Bank presidents who serve and rotate as extra committee members with annual terms on a regular basis. The FOMC makes all of the monetary policy decisions and interest rate adjustments by majority vote. Unlike the Supreme Court, the Fed Chair almost never votes in the minority. The broader FOMC would probably not hesitate to express dissent if a new Fed Chair tried to pursue monetary policy decisions, especially interest rate adjustments, not in accordance with the Federal Reserve System’s dual mandate.

In light of the extant American domestic institutional arrangements for the FOMC specifically, and the Federal Reserve System more generally, President Trump’s recent remarks, public talks, and demands for interest rate cuts are not rare, unusual, or atypical in American history. We identify numerous recent presidential attempts to publicly talk down interest rates in the past few decades. However, these presidential demands for interest rate cuts have had only minimal impact on monetary policy outcomes. For the foreseeable future, we can expect this empirical result to persist in the FOMC, Federal Reserve System, and even almost all of the independent government agencies in America. Even if there might be some serious risks to Fed Chair independence today, we believe Trump talk is not one of these risks.

In recent years, the Federal Reserve System seems to have become a bit too independent in some ways by wading into several fresh policy areas outside the statutory dual mandate. Good examples span the Federal Reserve System’s recent attempts to dip its toes into the purchases of large amounts of mortgage securities for more affordable residential properties, climate change risk management, and even economic inequality. At least some of these key policy goals fall outside the broader statutory remit for monetary policy, specifically the dual mandate of both price stability and maximum sustainable employment. For this reason, the recent mainstream monetary policy framework reviews for central banks worldwide warrant some strategic reset for the FOMC, Fed Chair, and Federal Reserve System to better realign U.S. monetary policy decisions, interest rate adjustments, and several other macro-financial policy affairs with the statutory dual mandate. At any pace, it is vital for the Federal Reserve System not to attempt to spin the jury by crossing the line into new democratic advocacy on political issues such as better climate change risk management for rare disasters, affordable residential real estate, and even economic inequality.

We further describe, discuss, and delve into the broader macro-financial asset implications of lesser Federal Reserve System independence. A less independent Fed Chair, FOMC, or Federal Reserve System could cause more frequent foreign exchange currency intervention, less liquidity and capital support for big banks and other financial institutions in rare times of severe macro-financial stress (such as the key Global Financial Crisis of 2008-2009 and the recent rampant Covid pandemic crisis of 2020-2022), and a gradual decline in the greenback as the rare, unique, and dominant global reserve currency. Also, a less independent Federal Reserve System could reduce the modern appeal of both U.S. Treasury bonds and several other dollar assets for foreign investors. The vast majority of these foreign investors include central banks, sovereign wealth funds, foreign reserve managers, and numerous active and passive index funds. In the best-case scenario, Treasury bond yields would need to increase substantially to motivate these foreign investors to continue buying these safe dollar assets. In recent times, the 3 major credit rating agencies downgrade Treasury bonds from the top-notch investment grade. As a consequence, we witness significant fluctuations in American Treasury bond prices, returns, yields, and many other asset risk premiums. Less Fed Chair independence could exacerbate these volatile fluctuations in the global markets for Treasury bonds and other dollar assets. By contrast, gold would shine brighter as a better alternative stable store of value to Treasury bonds and other dollar assets if President Trump seeks to further weaken Fed Chair independence in due course.

Below we provide hyperlinks to many other recent podcasts, surveys, research articles, and blog posts on global macro-finance, asset return prediction, trade, technology, fiscal-monetary policy coordination, and fundamental industry analysis for stock market investors worldwide. Key technological advancements include generative artificial intelligence (Gen AI) large language models (LLM), electric vehicles (EV), autonomous robotaxis (AR), virtual reality (VR) headsets, semiconductor microchips, high-speed broadband networks, telecoms, cloud services, social media platforms, quantum computers, and pharmaceutical treatments, medications, and therapies.

President Trump poses new threats to Fed Chair monetary policy independence again.

What are the mainstream legal origins of President Trump’s tariff policies?

American exceptionalism often turns out to be the heuristic rule of thumb for better economic growth, low and stable inflation, full employment, and macro-financial stability.

In the broader modern monetary policy context, central banks learn to weigh the trade-offs between output and inflation expectations and macro-financial stress conditions.

Today, tech titans, billionaires, serial entrepreneurs, and venture capitalists continue to reshape and even disrupt global pharmaceutical investments for both better healthspan and longer lifespan.

Artificial intelligence continues to reshape the current global market for better biotech advances, medical innovations, and healthcare services.

The global market for GLP-1 anti-obesity weight-loss treatments now grows substantially to benefit more than 1 billion people worldwide by 2030.

Is higher stock market concentration good or bad for Corporate America?

Geopolitical alignment often reshapes and reinforces asset market fragmentation in the broader context of financial deglobalization.

The global cloud infrastructure helps accelerate the next high-tech revolutions in electric vehicles (EV), virtual reality (VR) headsets, artificial intelligence (AI) online services, and the metaverse.

The new homeland industrial policy stance tilts toward greater global resilience across the major high-tech supply chains worldwide.

China poses new threats to the U.S. and its western allies.

How can generative AI tools and LLMs help enhance human productivity?

What are the macrofinancial ripple effects of central bank digital currency (CBDC) design, issuance, and broad user adoption?

Both BYD and Tesla have become serious global manufacturers of electric vehicles (EV) worldwide.

With U.S. fintech patent approval, accreditation, and protection for 20 years, our AYA fintech network platform provides proprietary alpha stock signals and personal finance tools for stock market investors worldwide.

We build, design, and delve into our new and non-obvious proprietary algorithmic system for smart asset return prediction and fintech network platform automation. Unlike our fintech rivals and competitors who chose to keep their proprietary algorithms in a black box, we open the black box by providing the free and complete disclosure of our U.S. fintech patent publication. In this rare unique fashion, we help stock market investors ferret out informative alpha stock signals in order to enrich their own stock market investment portfolios. With no need to crunch data over an extensive period of time, our freemium members pick and choose their own alpha stock signals for profitable investment opportunities in the U.S. stock market.

Smart investors can consult our proprietary alpha stock signals to ferret out rare opportunities for transient stock market undervaluation. Our analytic reports help many stock market investors better understand global macro trends in trade, finance, technology, and so forth. Most investors can combine our proprietary alpha stock signals with broader and deeper macrofinancial knowledge to win in the stock market.

Through our proprietary alpha stock signals and personal finance tools, we can help stock market investors achieve their near-term and longer-term financial goals. High-quality stock market investment decisions can help investors attain the near-term goals of buying a smartphone, a car, a house, good health care, and many more. Also, these high-quality stock market investment decisions can further help investors attain the longer-term goals of saving for travel, passive income, retirement, self-employment, and college education for children. Our AYA fintech network platform empowers stock market investors through better social integration, education, and technology.

President Trump poses new threats to Fed Chair monetary policy independence again. - Blog - AYA fintech network platform provides proprietary alpha stock signals and personal finance tools for stock market investors.

This report delves into President Donald Trump's recent criticisms of Fed Chair Jerome Powell with s...

https://ayafintech.network/blog/president-trump-poses-new-threats-to-fed-chair-monetary-policy-independence-again/

James Campbell

2025-06-10 04:29:24

Bullish

Quantitative fundamental analysis

Our new podcast deep-dives into the mainstream legal origins of President Trump’s tariff policies as part of his second presidency. We describe, discuss, and delve into both the recent developments and mainstream legal origins of President’s tariff policies in recent times. This fundamental analysis focuses on the complex interactions among the White House, Congress, and federal and district courts in relation to President Trump’s executive orders, court precedents, checks, balances, and congressional laws, rules, and regulations for the new aggressive American trade policy stance. These legal insights, reasons, and considerations can cause profound macro-economic policy implications for stock market investors worldwide.

$BABA $BIDU $TME $JD $PDD $NIO $XPEV $BILI $IQ $NFLX $DIS $WRB $PARA $TSM $NVDA $TSLA $C 

$MS $BAC $JPM $WFC $GS $PNC $T $TMUS $VZ $IONQ $ZIM $WMT $TGT $HD $PG $COST $CVS $PFE 

$JNJ $LLY $NVO $MRNA $AZN $BMY $KKR $RGTI $QBTS $QUBT $DOCU $ORCL $CSCO $IBM $NET $V 



The original blog article is available on our AYA fintech network platform. https://ayafintech.network/blog/mainstream-legal-origins-of-recent-trump-tariffs/

This fun podcast is about 10 minutes long (with smart AI podcast generation from Google NotebookLM). https://bit.ly/3ZnNMG7

We delve into the mainstream legal origins of President Trump’s recent tariff policies as part of his second presidency. As a first step, we describe the recent developments of new Trump tariffs on China, Europe, Canada, Mexico, and other countries from April 2025 to June 2025. This chronology further provides some reasons for these new tariffs under the second Trump administration. Specifically, these reasons include economic incentives for better domestic manufacturing protectionism, as well as broader geopolitical risks, tensions, and frictions in relation to bilateral trade negotiations between America and China, Europe, Canada, Mexico, and other countries. We add rare unique value to these current themes, trends, topics, and discussions by shining fresh light on the mainstream legal origins of President Trump’s new tariff policies. In light of the broader U.S. domestic institutional arrangements for presidential executive orders, courts, and congressional laws, rules, and regulations, these legal origins, checks, balances, and provisions can cause complex, profound, and significant macro ripple effects across the American economic policy domain. In the meantime, the new aggressive trade policy stance emanates from the White House, as well as reshapes and reinforces fair trade treatments, geopolitical alliances, and even monetary policy interest rate adjustments.

In the best likelihood of success, President Trump regards hefty tariffs, comprehensive bans on strategic foreign investments in high technology, and even embargoes on China, Europe, and many other trade partners, as a strategic means to an end, but not an end in itself. For this reason, President Trump uses these trade measures to gain substantial leverage for the bilateral trade negotiations with China, Europe, Canada, Mexico, and many other countries. Although substantial economic policy uncertainty revolves around President Trump’s current tariff policy stance, we would probably expect to see sound, efficient, and reciprocal bilateral trade deals made between America and China, Europe, and most other countries in the next few quarters. In this positive light, President Trump seeks to achieve the best terms as part of his Make America Great Again (MAGA) campaign in the next bilateral trade negotiations worldwide. Tariffs emerge as the mainstream quid pro quo front and center, as the American economy suffers substantial bilateral trade deficits with its major trade partners, specifically China, Europe, Canada, and Mexico, among many other countries, in recent decades.

Below we provide hyperlinks to many other recent podcasts, surveys, research articles, and blog posts on global macro-finance, asset return prediction, trade, technology, fiscal-monetary policy coordination, and fundamental industry analysis for stock market investors worldwide. Key technological advancements include generative artificial intelligence (Gen AI) large language models (LLM), electric vehicles (EV), autonomous robotaxis (AR), virtual reality (VR) headsets, semiconductor microchips, high-speed broadband networks, telecoms, cloud services, social media platforms, quantum computers, and pharmaceutical treatments, medications, and therapies.

What are the mainstream legal origins of President Trump’s tariff policies?

American exceptionalism often turns out to be the heuristic rule of thumb for better economic growth, low and stable inflation, full employment, and macro-financial stability.

In the broader modern monetary policy context, central banks learn to weigh the trade-offs between output and inflation expectations and macro-financial stress conditions.

Today, tech titans, billionaires, serial entrepreneurs, and venture capitalists continue to reshape and even disrupt global pharmaceutical investments for both better healthspan and longer lifespan.

Artificial intelligence continues to reshape the current global market for better biotech advances, medical innovations, and healthcare services.

The global market for GLP-1 anti-obesity weight-loss treatments now grows substantially to benefit more than 1 billion people worldwide by 2030.

Is higher stock market concentration good or bad for Corporate America?

Geopolitical alignment often reshapes and reinforces asset market fragmentation in the broader context of financial deglobalization.

The global cloud infrastructure helps accelerate the next high-tech revolutions in electric vehicles (EV), virtual reality (VR) headsets, artificial intelligence (AI) online services, and the metaverse.

The new homeland industrial policy stance tilts toward greater global resilience across the major high-tech supply chains worldwide.

China poses new threats to the U.S. and its western allies.

How can generative AI tools and LLMs help enhance human productivity?

What are the macrofinancial ripple effects of central bank digital currency (CBDC) design, issuance, and broad user adoption?

Both BYD and Tesla have become serious global manufacturers of electric vehicles (EV) worldwide.

With U.S. fintech patent approval, accreditation, and protection for 20 years, our AYA fintech network platform provides proprietary alpha stock signals and personal finance tools for stock market investors worldwide.

We build, design, and delve into our new and non-obvious proprietary algorithmic system for smart asset return prediction and fintech network platform automation. Unlike our fintech rivals and competitors who chose to keep their proprietary algorithms in a black box, we open the black box by providing the free and complete disclosure of our U.S. fintech patent publication. In this rare unique fashion, we help stock market investors ferret out informative alpha stock signals in order to enrich their own stock market investment portfolios. With no need to crunch data over an extensive period of time, our freemium members pick and choose their own alpha stock signals for profitable investment opportunities in the U.S. stock market.

Smart investors can consult our proprietary alpha stock signals to ferret out rare opportunities for transient stock market undervaluation. Our analytic reports help many stock market investors better understand global macro trends in trade, finance, technology, and so forth. Most investors can combine our proprietary alpha stock signals with broader and deeper macrofinancial knowledge to win in the stock market.

Through our proprietary alpha stock signals and personal finance tools, we can help stock market investors achieve their near-term and longer-term financial goals. High-quality stock market investment decisions can help investors attain the near-term goals of buying a smartphone, a car, a house, good health care, and many more. Also, these high-quality stock market investment decisions can further help investors attain the longer-term goals of saving for travel, passive income, retirement, self-employment, and college education for children. Our AYA fintech network platform empowers stock market investors through better social integration, education, and technology.

What are the mainstream legal origins of President Trump's new tariff policies? - Blog - AYA fintech network platform provides proprietary alpha stock signals and personal finance tools for stock market investors.

This report delves into the recent developments and mainstream legal origins of President Trump's re...

https://ayafintech.network/blog/mainstream-legal-origins-of-recent-trump-tariffs/

Chanel Holden

2025-06-04 03:32:07

Bullish

Quantitative fundamental analysis

Our new podcast deep-dives into how several central banks learn to weigh the trade-offs between output and inflation expectations and macro-financial stress conditions in the broader modern monetary policy context. In recent years, the mainstream monetary policy framework reviews worldwide provide new economic insights into the dual mandate for the American Federal Reserve System, European Central Bank, Bank of England, Bank of Canada, Bank of Japan, and so forth. Despite the recent tariffs, trade negotiations, and geopolitical tensions, these new economic insights further shine fresh light on monetary policy incentives, carrots, and sticks for better fiscal-monetary policy coordination worldwide.

$META $AAPL $MSFT $GOOG $GOOGL $AMZN $NVDA $TSLA $TSM $AMD $ARM $ORCL $CSCO $IBM 

$NIO $RIVN $XPEV $KKR $BABA $BIDU $TME $JD $PDD $BILI $IQ $NFLX $DIS $WRB $PARA $IONQ 

$QBTS $QCOM $AVGO $PFE $JNJ $BMY $NVO $LLY $WMT $TGT $PG $HD $CVS $COST $T $TMUS $VZ 




This fun podcast is about 10 minutes long (with smart AI podcast generation from Google NotebookLM). https://bit.ly/42SwrXG

We delve into the mainstream rules, lessons, and fresh challenges from the recent monetary policy framework reviews worldwide. Several central banks that conduct their own monetary policy framework reviews in recent years include the American Federal Reserve System, European Central Bank, Bank of England, Reserve Bank of Australia, Reserve Bank of New Zealand, Bank of Japan, and so on. The Global Financial Crisis of 2008-2009, the Covid-19 pandemic crisis of 2020-2022, inflation, output growth, and macro-financial stability continue to be the central elements of the recent monetary policy framework reviews. The long prevalent, pervasive, and mainstream monetary policy frameworks often span clear and simple policy targets for inflation, nominal GDP, the price level, and credit control in some asset markets such as the global financial markets for stocks and bonds as well as the residential real estate market. In addition to these mainstream macro policy goals, climate risk management, residential property affordability, productivity growth, macrofinancial stability, and technological advancement now arise as novel elements of the macro mandate for some central banks.

Since 2000, several extraordinary events have severely tested the modern conduct of monetary policy worldwide. The U.S. subprime mortgage crisis, Global Financial Crisis of 2008-2009 and subsequent European sovereign debt debacle shattered the deceptive tranquility of the Great Moderation, the decades-long phase of lower output and inflation volatility in many rich economies through the 1980s and 1990s. In the subsequent decade, central banks struggled to push inflation back to the 2% target, or the broader target range of 1% to 3%. Like a bolt from the blue, the Covid-19 pandemic crisis caused widespread financial system stress. As a result, several economies plunged into a severe macro recession. From the Russia-Ukraine war in Eastern Europe to the conflicts between Israel and Iran, Lebanon, Hamas, and the Palestinians in the Middle East, these rare geopolitical events led to the largest, most pervasive, and most persistent inflationary outbreak in half a century. On both sides of the Atlantic Ocean, several banks experienced credit constraints, strains, and failures due to short-term severe shortages of liquid assets.

Many central banks have risen to this challenge. Their forceful responses to macro financial stress helped stabilized the global financial system with new quantitative-easing (QE) large-scale asset purchases, negative interest rates, macro-prudential stress tests, less lenient and more rigorous Basel liquidity and capital requirements, and additional leverage limits and deposit insurance rules for banks, insurers, and other non-bank financial institutions. In due course, these macro-financial policies helped constrain collateral damage to the global real economy. In response to the recent interest rate hikes, inflation continued to return to the broader target range of 1% to 3%, or the baseline 2% target, in rich countries and global capital markets. In these recent years, global supply chains and labor markets turned out to be both robust and resilient as the real economy navigated through rare geopolitical events, wars, conflicts, bank failures, and rampant Covid infections.

These recent extraordinary events have left a deep imprint on the modern conduct of monetary policy worldwide. Even before the Covid pandemic crisis of 2020-2022, nominal monetary policy interest rates had reached historical troughs near the zero lower bound. In some parts of the world, especially Europe and Japan, the interest rates hovered in the negative territory. In some rich countries, central bank balance sheets have expanded to historical peaks. In recent years, public debt remains on a worrisome trajectory worldwide. Many governments continue to feel fiscal strains on different aspects of their respective budgets. In light of non-market forces such as climate change, policy uncertainty, deglobalization, longer longevity, and green energy transformation, several structural forces continue to further complicate the modern conduct of monetary policy worldwide.

We broadly classify the modern conduct of monetary policy worldwide into 2 major phases: (1) the Global Financial Crisis of 2008-2009 and its aftermath, and (2) the global pandemic outbreak of Covid-19 and its subsequent market consequences. These rare disasters dramatically reshaped monetary policy responses around the world. In effect, the Global Financial Crisis marked the end of the Great Moderation, the decades-long period of remarkable macroeconomic stability with lower inflation and relatively high and stable output growth in many parts and regions of the world. Under the calm surface of low inflation and steady output growth, however, macro-financial market vulnerabilities continued to build up in core residential real estate and mortgage credit markets. At the same time, private credit expansion continued through the major asset price booms. Low interest rates reinforced this pervasive private credit expansion, as many central banks chose to ease the monetary policy stance in response to the American dotcom stock market crash and the September 11 terrorist attack in 2001. After the unsustainable credit expansion and asset price boom worldwide, the Global Financial Crisis of 2008-2009 plunged many markets into the deepest recession since the Great Depression of the 1930s. Specifically, the American investment bank, Lehman Brothers filed for bankruptcy in September 2008. Some other banks, AIG and Bear Stearns, experienced financial difficulties too. Many financial institutions teetered on the verge of insolvency, vast segments of money markets froze, and global asset prices plummeted as a result.

Key central banks responded forcefully to the Global Financial Crisis of 2008-2009. Many central banks reduced monetary policy interest rates aggressively to the zero lower bound. Also, these central banks expanded their balance sheets significantly through large-scale asset purchases to provide liquidity support to banks, insurers, and other non-bank financial institutions worldwide. In the early phase of the Global Financial Crisis, these central banks played their respective roles of lenders of last resort. In this capacity, these central banks drew on government solvency support. As a result, the initial expansion of central bank balance sheets took the main form of government loans to financial institutions. Some central banks further continued their QE large-scale asset purchases to ease macro-financial stress conditions. As a consequence, their balance sheets expanded further with long-term government bonds and mortgage securities. In effect, these near-term QE efforts leveraged the extant bank reserves, capital requirements, and liquidity buffers.

In the next few years from 2010 to 2018, we saw a shallow economic recovery and persistent inflation shortfalls from the respective target ranges worldwide. Several central banks faced fresh concerns about deflation. These central banks engaged in forceful coordination to ease monetary conditions in the major rich countries. In effect, these central banks chose to build on the same QE monetary policy toolkit that they had deployed to contain the Global Financial Crisis. These central banks sought to ease financial stress conditions well beyond the short-term interest rates. Specifically, central banks substantially reduced their respective policy rates to the zero lower bound. In the special cases of European Union and Japan, their central banks further reduced their respective policy rates into negative territory. Several central banks resorted to forward guidance to signal the medium-term commitment to keeping lower interest rates for longer. With widespread fiscal-monetary policy coordination, central banks further expanded their QE large-scale asset purchases. In turn, these QE asset purchases sometimes included private-sector assets such as corporate bonds and stock market ETFs.

In the subsequent years from late-2019 to mid-2023, the Covid-19 pandemic crisis abruptly ended an incipient monetary policy normalization worldwide. As the global economy hit hibernation to forestall a public health catastrophe, a deep economic contraction put global macro-financial stability at risk again. In response to the new corona virus crisis, central banks reduced short-term interest rates substantially to the zero lower bound and then launched new balance sheet measures. This time was no different. Central banks combined emergency liquidity injections with bank-specific subsidies in the form of QE bond purchases. In light of these QE measures, central bank balance sheets surged to new historical highs.

Central banks substantially expanded their respective balance sheets through QE large-scale asset purchases in the 15-year episode from 2008 to 2023. Specifically, the American Federal Reserve System substantially boosted the size of its balance sheet to more than $8 trillion. Also, the European Central Bank raised its QE asset purchases to more than $6 trillion. In addition, the Bank of Japan increased its own balance sheet to more than $4 trillion over the same time frame, while the Bank of England expanded its own balance sheet to almost $1 trillion. As rare geopolitical events and other rare disasters happen more often, we believe central banks tend to include QE large-scale asset purchases as part of their respective conventional monetary policy toolkits in the next few decades.

As the global economy gradually recovered from the Covid pandemic crisis, central banks faced new inflationary pressures worldwide. Inflation was almost always and everywhere a monetary phenomenon. In many countries, inflation rose to double-digits. Global supply chains had failed to respond elastically to new fiscal-monetary coordination worldwide in response to the Covid pandemic crisis. Although the real economy eventually recovered from the public health crisis, this recovery led to the rotation of macro demand from services to goods. As a result, this rotation caused steep commodity price hikes in the subsequent Russian invasion of Ukraine. The Russia-Ukraine war further fueled the inflationary price hikes, especially for oil and natural gas resources in Eastern Europe.

In response to new inflationary price pressures, many central banks raised short-term interest rates in both real and nominal terms. After these serious interest rate hikes, several central banks began to dramatically shrink their respective balance sheets via quantitative tightening (QT) large-scale asset sales. Through such near-term macro episodes, these central banks had to cope with fast and furious swings in capital flows and exchange rates from the recent economic developments in the Russia-Ukraine war in Eastern Europe and the relentless conflicts between Israel and Iran, Lebanon, Hamas, and the Palestinians in the Middle East. In recent years, inflation gradually declined toward the 2% target or the broader target range of 1% to 3%. In the vast majority of small open economies, central banks weathered fresh inflationary challenges by relying on broad monetary policy frameworks, rules, and principles. The extant monetary policy frameworks, rules, and principles combined some simple single inflation targets, or broader inflation target ranges, with flexible foreign exchange intervention, macro-financial market stabilization for climate risk management, and active macro-prudential credit control for better residential real estate affordability worldwide.

Below we provide hyperlinks to many other recent podcasts, surveys, research articles, and blog posts on global macro-finance, asset return prediction, trade, technology, fiscal-monetary policy coordination, and fundamental industry analysis for stock market investors worldwide. Key technological advancements include generative artificial intelligence (Gen AI) large language models (LLM), electric vehicles (EV), autonomous robotaxis (AR), virtual reality (VR) headsets, semiconductor microchips, high-speed broadband networks, telecoms, cloud services, social media platforms, quantum computers, and pharmaceutical treatments, medications, and therapies.

American exceptionalism often turns out to be the heuristic rule of thumb for better economic growth, low and stable inflation, full employment, and macro-financial stability.

In the broader modern monetary policy context, central banks learn to weigh the trade-offs between output and inflation expectations and macro-financial stress conditions.

Today, tech titans, billionaires, serial entrepreneurs, and venture capitalists continue to reshape and even disrupt global pharmaceutical investments for both better healthspan and longer lifespan.

Artificial intelligence continues to reshape the current global market for better biotech advances, medical innovations, and healthcare services.

The global market for GLP-1 anti-obesity weight-loss treatments now grows substantially to benefit more than 1 billion people worldwide by 2030.

Is higher stock market concentration good or bad for Corporate America?

Geopolitical alignment often reshapes and reinforces asset market fragmentation in the broader context of financial deglobalization.

The global cloud infrastructure helps accelerate the next high-tech revolutions in electric vehicles (EV), virtual reality (VR) headsets, artificial intelligence (AI) online services, and the metaverse.

The new homeland industrial policy stance tilts toward greater global resilience across the major high-tech supply chains worldwide.

China poses new threats to the U.S. and its western allies.

How can generative AI tools and LLMs help enhance human productivity?

What are the macrofinancial ripple effects of central bank digital currency (CBDC) design, issuance, and broad user adoption?

Both BYD and Tesla have become serious global manufacturers of electric vehicles (EV) worldwide.

With U.S. fintech patent approval, accreditation, and protection for 20 years, our AYA fintech network platform provides proprietary alpha stock signals and personal finance tools for stock market investors worldwide.

We build, design, and delve into our new and non-obvious proprietary algorithmic system for smart asset return prediction and fintech network platform automation. Unlike our fintech rivals and competitors who chose to keep their proprietary algorithms in a black box, we open the black box by providing the free and complete disclosure of our U.S. fintech patent publication. In this rare unique fashion, we help stock market investors ferret out informative alpha stock signals in order to enrich their own stock market investment portfolios. With no need to crunch data over an extensive period of time, our freemium members pick and choose their own alpha stock signals for profitable investment opportunities in the U.S. stock market.

Smart investors can consult our proprietary alpha stock signals to ferret out rare opportunities for transient stock market undervaluation. Our analytic reports help many stock market investors better understand global macro trends in trade, finance, technology, and so forth. Most investors can combine our proprietary alpha stock signals with broader and deeper macrofinancial knowledge to win in the stock market.

Through our proprietary alpha stock signals and personal finance tools, we can help stock market investors achieve their near-term and longer-term financial goals. High-quality stock market investment decisions can help investors attain the near-term goals of buying a smartphone, a car, a house, good health care, and many more. Also, these high-quality stock market investment decisions can further help investors attain the longer-term goals of saving for travel, passive income, retirement, self-employment, and college education for children. Our AYA fintech network platform empowers stock market investors through better social integration, education, and technology.

Central banks learn to weigh the monetary policy trade-offs between output and inflation expectations and macro-financial stress conditions. - Blog - AYA fintech network platform provides proprietary alpha stock signals and personal finance tools for stock market investors.

This report delves into the key lessons from recent monetary policy framework reviews worldwide, esp...

https://ayafintech.network/blog/central-banks-weigh-the-monetary-policy-trade-offs-between-output-inflation-and-macro-financial-stress-conditions/

Charlene Vos

2025-05-21 03:39:45

Bullish

Quantitative fundamental analysis

Our new podcast deep-dives into how generative AI tools, robots, avatars, and large language models (LLM) help substantially enhance human productivity. Today, the mainstream LLMs include OpenAI ChatGPT, Google Gemini and NotebookLM, Microsoft Copilot, Anthropic Claude, Alibaba Qwen, DeepSeek, Meta Llama, Amazon Alexa and Nova, Twitter xAI Grok, and Perplexity.

$META $MSFT $GOOG $GOOGL $AAPL $AMZN $BABA $BIDU $TME $KKR $IQ $BILI $JD $PDD $IONQ 

$NVDA $AMD $INTC $ARM $CSCO $ORCL $T $TMUS $VZ $TSLA $NIO $RIVN $NET $CRWD $IBM $TSM 

$SNPS $RACE $ZIM $MRK $AMGN $JNJ $BMY $LLY $NVO $GSK $COST $HPE $HD $PG $WMT $TGT 




This fun podcast is about 10 minutes long (with smart AI podcast generation from Google NotebookLM). https://bit.ly/4elAFKv

The top generative artificial intelligence (Gen AI) tools include OpenAI ChatGPT, Google Gemini and NotebookLM, Microsoft Copilot, Meta Llama, Amazon Alexa and Nova, Anthropic Claude, Twitter xAI Grok, Perplexity, Alababa Qwen, DeepSeek, Mistral, Midjourney, Synthesia, Jasper, and so forth. These Gen AI search engines apply large language models (LLM) and content generation tools to help enhance human lives with significantly greater productivity. Productivity gains often manifest in the common forms of AI-driven scripts, articles, images, podcasts, films, movies, and many other online contents. Gen AI avatars help translate text, imagery, and sound recognition into interpretable contents within only seconds. This recent Gen AI hype transforms and even revolutionizes the current high-tech stock market rally. Since the successful launch of OpenAI’s ChatGPT back in November 2022, these Gen AI virtual assistants have grown significantly to leverage the high performance of AI semiconductor microchips from Nvidia, AMD, Micron, TSMC, Pegatron, and many of their trade partners. In recent quarters, stock market investors revive their current interest in this modern Gen AI technology worldwide.

Foundational LLMs and Gen AI virtual tools, assistants, and avatars substantially enhance the high-skill process of online content generation. As a result, the stocks of Gen AI companies have had more than double-digit improvements in their stock market valuation, top-line sales revenue growth, and bottom-line profitability. Gen AI technology can help create new content generation in the form of text, imagery, video, audio, and code through natural language communication, rather than code snippets and arcane programming languages. These key transformative features distinguish the current Gen AI technology from the vast majority of its predecessors. We can view this Gen AI technology as the third generation of AI software research. Earlier iterations of AI technology either required computer scientists and software engineers to write deterministic code programs to perform specific tasks (Software 1.0), or required these specialists to statistically train complex neural networks on big data for specific tasks and predictions (Software 2.0). With Software 3.0 today, the foundational models leverage out-of-the-box capabilities to enhance their niche businesses with natural language reasons, explanations, and knowledge spillovers worldwide. These Gen AI base models help substantially transform both the logical and reasonable content generation through open-source application programming interfaces (API) without any laborious collection of big data.

This Gen AI transformation has begun to translate into a new economic reality. In some cases, developer productivity gains amount to double-digit percentages (at least 15% to 20% per annum) via Gen AI technology. This Gen AI technology can further enhance human-robot interactions and several other adjacent applications, especially in traditional service markets such as law, finance, medicine, illustration, as well as audio, voice, and video generation with smart data analytics. Many stock market investors regard this Gen AI technology as a major platform shift across all aspects of both the consumer and enterprise experiences.

This Gen AI transformation can cause new profound ripple effects, macroeconomic consequences, and policy implications. Recent empirical studies show that Gen AI usage can help boost U.S. annual labor productivity growth by 1.5-2.5 percentage points over the current decade. In the U.S. and many other rich economies, AI can eventually help raise annual global GDP by 7% to 15%. This global productivity lift can turn a relatively narrow AI-led U.S. stock market rally into a much broader one over the longer run. Specifically, S&P 500 stocks have already experienced 9% to 25% increases in fair asset market valuation in recent years, especially in the post-pandemic period. This Gen AI stock market trend turns out to be the new friend for many institutional investors worldwide.

However, the neural networks of these Gen AI tools differ from the neural networks of human brains. Gen AI machines can indeed perform reflexive statistical analysis, but these machines have virtually little capacity for human-like logical deliberations and reasons. Although these Gen AI machines learn and recognize patterns in text, imagery, audio, and video etc, the vast majority of machine-learning algorithms still revolve around the deep statistics of both words and proper responses to prompts. Specifically, these machine-learning algorithms cannot function like human brains to completely understand abstract concepts, such as the broad business judgment rule in law, dynamic equilibrium fair market valuation in finance, and the dopamine hypothesis in medicine. As a result, there is no internal model for these AI machine-learning algorithms to understand the world around them. One day the human race may achieve artificial general intelligence (AGI), but we are still far from AGI today. No finite dollar amount of stock market investment can change this current reality. When push comes to shove, stock market investors would need to make prudent investment decisions in support of better stock portfolio profitability, resilience, and diversification.

In terms of stock market valuation, the current AI stock market rally is pretty much like the past innovation booms. During the past innovation-led productivity booms, such as the widespread adoption of electricity from 1919 to 1929 and PCs and the Internet from 1996 to 2005, sharp and steady increases in stock market prices and returns turn into asset bubbles over the medium. These asset bubbles eventually burst in due course. In response to the widespread adoption of electricity, the Great Depression ensued in the 1930s. In response to the dotcom bubble, the subprime mortgage crisis and Global Financial Crisis arose in 2008-2009. Although the rising tide seems to lift all boats in the AI-led high-tech sector, the current AI stock market rally would eventually experience a more reasonable correction in due course.

In the meantime, the vast majority of Gen AI stocks continue to trade at reasonably attractive P/E and P/B multiples. It can be quite reasonable for many tech titans to drive the current powerful AI stock market rally. In light of this positive platform shift, the current AI stock market rally may or may not be a fundamentally shallow hype cycle. To the extent that many tech titans continue to apply AI foundational models for business purposes, the picks-and-shovels businesses are likely to benefit from this continuation. For AI, these fundamental picks-and-shovels businesses include semiconductor microchip manufacturers (Nvidia, AMD, TSMC, Micron, Intel, and so on), cloud computing hyperscalers (Amazon, Google, Microsoft, IonQ, Alibaba, and Tencent), and online infrastructure companies (Cisco, Oracle, AT&T, T-Mobile, and Verizon).

Below we provide hyperlinks to many other recent podcasts, surveys, research articles, and blog posts on global macro-finance, asset return prediction, trade, technology, fiscal-monetary policy coordination, and fundamental industry analysis for stock market investors worldwide. Key technological advancements include generative artificial intelligence (Gen AI) large language models (LLM), electric vehicles (EV), autonomous robotaxis (AR), virtual reality (VR) headsets, semiconductor microchips, high-speed broadband networks, telecoms, cloud services, social media platforms, quantum computers, and pharmaceutical treatments, medications, and therapies.

American exceptionalism often turns out to be the heuristic rule of thumb for better economic growth, low and stable inflation, full employment, and macro-financial stability.

In the broader modern monetary policy context, central banks learn to weigh the trade-offs between output and inflation expectations and macro-financial stress conditions.

Today, tech titans, billionaires, serial entrepreneurs, and venture capitalists continue to reshape and even disrupt global pharmaceutical investments for both better healthspan and longer lifespan.

Artificial intelligence continues to reshape the current global market for better biotech advances, medical innovations, and healthcare services.

The global market for GLP-1 anti-obesity weight-loss treatments now grows substantially to benefit more than 1 billion people worldwide by 2030.

Is higher stock market concentration good or bad for Corporate America?

Geopolitical alignment often reshapes and reinforces asset market fragmentation in the broader context of financial deglobalization.

The global cloud infrastructure helps accelerate the next high-tech revolutions in electric vehicles (EV), virtual reality (VR) headsets, artificial intelligence (AI) online services, and the metaverse.

The new homeland industrial policy stance tilts toward greater global resilience across the major high-tech supply chains worldwide.

China poses new threats to the U.S. and its western allies.

How can generative AI tools and LLMs help enhance human productivity?

What are the macrofinancial ripple effects of central bank digital currency (CBDC) design, issuance, and broad user adoption?

Both BYD and Tesla have become serious global manufacturers of electric vehicles (EV) worldwide.

With U.S. fintech patent approval, accreditation, and protection for 20 years, our AYA fintech network platform provides proprietary alpha stock signals and personal finance tools for stock market investors worldwide.

We build, design, and delve into our new and non-obvious proprietary algorithmic system for smart asset return prediction and fintech network platform automation. Unlike our fintech rivals and competitors who chose to keep their proprietary algorithms in a black box, we open the black box by providing the free and complete disclosure of our U.S. fintech patent publication. In this rare unique fashion, we help stock market investors ferret out informative alpha stock signals in order to enrich their own stock market investment portfolios. With no need to crunch data over an extensive period of time, our freemium members pick and choose their own alpha stock signals for profitable investment opportunities in the U.S. stock market.

Smart investors can consult our proprietary alpha stock signals to ferret out rare opportunities for transient stock market undervaluation. Our analytic reports help many stock market investors better understand global macro trends in trade, finance, technology, and so forth. Most investors can combine our proprietary alpha stock signals with broader and deeper macrofinancial knowledge to win in the stock market.

Through our proprietary alpha stock signals and personal finance tools, we can help stock market investors achieve their near-term and longer-term financial goals. High-quality stock market investment decisions can help investors attain the near-term goals of buying a smartphone, a car, a house, good health care, and many more. Also, these high-quality stock market investment decisions can further help investors attain the longer-term goals of saving for travel, passive income, retirement, self-employment, and college education for children. Our AYA fintech network platform empowers stock market investors through better social integration, education, and technology.

Generative artificial intelligence (Gen AI) uses large language models (LLM) to create online contents with better human productivity. - Blog - AYA fintech network platform provides proprietary alpha stock signals and personal finance tools for stock market investors.

We explain technological advances in Generative Artificial Intelligence (Gen AI).

https://ayafintech.network/blog/generative-artificial-intelligence-uses-large-language-models-and-content-generation-tools-to-enhance-human-productivity/

Olivia London

2025-05-17 02:50:53

Bullish

Quantitative fundamental analysis

Our new podcast deep-dives into how the global market for GLP-1 anti-obesity weight-loss treatments now grows substantially to benefit more than 1 billion people worldwide by 2030.

$MRK $BMY $LLY $NVO $JNJ $AMGN $BNT $MRNA $PFE $AZN $GSK $C $BAC $JPM $WFC $GS $MS 

$PNC $COST $WMT $TGT $HD $PG $CVX $AMZN $META $MSFT $AAPL $GOOG $GOOGL $BRK.B $T 

$BRK.A $TMUS $VZ $DIS $NFLX $WRB $BABA $TME $BIDU $BILI $JD $PDD $KKR $IQ $IONQ $ZIM 




This fun podcast is about 10 minutes long (with smart AI podcast generation from Google NotebookLM). https://bit.ly/4bz6vmI

The new third-generation GLP-1 medications for obesity treatment and weight loss treatment, Novo Nordisk’s Wegovy and Eli Lilly’s Zepbound, now begin to become more prevalent and more pervasive worldwide. These medications show far higher weight loss efficacy than prior first-generation and second-generation medications. The latest GLP-1 medications further show long prevalent safety track records for the treatments of diabetes, heart diseases, and several kinds of cancers. However, the current U.S. prices for these new GLP-1 medications are extremely high (about $15,000 per patient per year). In the meantime, not all people with obesity can take these new GLP-1 medications because they are now prohibitively costly and U.S. insurance coverage remains partial and incomplete. Despite these current hurdles, obstacles, and impediments for broader GLP-1 drug adoption, we now expect the global market for GLP-1 obesity and weight loss medications to grow substantially to benefit more than 1 billion people with obesity worldwide by 2030.

GLP-1 medications are the first in a long history of weight loss medications to target the critical brain pathways that regulate both food intake and energy storage. As a result, GLP-1 patients feel less hungry and so crave food much less. As the third-generation medications for obesity treatment, these new GLP-1 medications often lead to 23%-25% average weight losses among GLP-1 patients (versus the single-digit average weight losses of prior medications).

While GLP-1 medications show tremendous promise in weight loss treatment, the global market for these new medications remains only a fraction of all of the people with obesity worldwide. Some patients are not medically able to take these GLP-1 medications, especially since each of these medications requires an injection by a needle. Also, these latest GLP-1 medications are shown to be effective only when patients continue to take these medications almost on a daily basis. A current lack of comprehensive insurance coverage by Medicare, Medicaid, and private insurers remains a major obstacle to wider GLP-1 drug adoption and usage in America and other countries. The current healthcare insurance programs only cover GLP-1s for the wider treatments of obesity-driven diseases such as diabetes, heart diseases, and some types of cancers, but there is now no insurance coverage solely for the treatment of obesity alone.

In addition to supply chain shortages and bottlenecks for GLP-1 mass production, the current hurdles, obstacles, and impediments impose hard high-cost limits and constraints on the size of the global market for GLP-1 medications in the near-to-medium term. Some recent estimates show that the U.S. GLP-1 patient population is likely to grow substantially from 2 million people with obesity today to at least 15 million people with obesity in 2030 (about 15% of the U.S. adults with obesity). On the basis of these recent estimates, we can now expect the global market for GLP-1 medications to increase substantially from $10 billion today to almost $100 billion by 2030.

Over the next few years, we expect U.S. employer insurance coverage for GLP-1 medications to increase substantially from approximately 50% of U.S. employers today due to greater U.S. employee healthcare needs and the significantly positive health benefits of GLP-1 medications. As several pharmaceutical titans direct their R&D efforts into some further developments of GLP-1 medications, it is reasonable for investors to expect more intense competition to result in lower prices for GLP-1 medications. Further, the new GLP-1 treatments of other obesity-driven diseases, specifically heart diseases, diabetes, and some types of cancers etc, can go a long way in empowering Medicare, Medicaid, and numerous private insurers to broaden their health insurance coverage of GLP-1 medications. In the meantime, however, U.S. Congress prohibits Medicare and Medicaid from covering GLP-1 medications today because of their budget-busting sky-high prices.

We can expect U.S. health insurance coverage to broaden substantially if the new GLP-1 medications show promise in treating serious health conditions well beyond obesity. Additional health conditions can include heart diseases, diabetes, as well as some kinds of cancers. The FDA’s recent approval of Novo Nordisk’s Wegovy, semaglutide, for the treatment of heart diseases has led to Medicare coverage of Wegovy for this new indication. Current studies for the treatments of sleep apnea, liver impairment, and other diseases can result in similarly favorable outcomes of broader Medicare coverage of GLP-1 medications. Some recent positive estimates show that the wider GLP-1 treatments of diseases can probably benefit 70 million obese U.S. patients by 2030. These positive ripple effects and chain reactions can cause greater economic benefits beyond the biotech and pharmaceutical sectors. As a result of GLP-1 medications with higher weight-loss efficacy, U.S. adults with prior obesity would have substantially greater and broader needs and demands for day-to-day food items, beverages, many other consumer staples, beauty products, and even air travel round-trips.

With the concomitant positive health improvements, the next widespread adoption of GLP-1 medications can cause better economic growth, employment, and labor productivity in America. U.S. GDP can probably rise by 0.5 to 2 percentage points in the long run if at least 30 million U.S. adults with obesity take these medications. Specifically, U.S. GDP can increase more substantially by 1.35 to 2.55 percentage points if all 70 million U.S. adults with obesity take such medications. However, the American government would face fiscal strain if both Medicare and Medicaid start to provide complete health insurance coverage to 40% of U.S. adults with obesity. This fiscal strain would likely amount to $1 trillion per year if all 40% of U.S. adults with obesity take GLP-1 medications at the current high prices ($15,000 per patient per year). This dollar amount is about the current size of Medicare and about 20% of how much Americans spend on healthcare each year. Although there are clear health benefits for U.S. adults with obesity to take GLP-1 medications, broad health insurance coverage would be enormously expensive for the U.S. government. We believe the next wave of GLP-1 technological advancements can help alleviate this fiscal concern for smarter and better healthcare solutions to weight loss treatments in due course.

Below we provide hyperlinks to many other recent podcasts and articles on global macro-finance, asset return prediction, and fundamental industry analysis for stock market investors.

American exceptionalism often turns out to be the heuristic rule of thumb for better economic growth, low and stable inflation, full employment, and macro-financial stability.

In the broader modern monetary policy context, central banks learn to weigh the trade-offs between output and inflation expectations and macro-financial stress conditions.

Today, tech titans, billionaires, serial entrepreneurs, and venture capitalists continue to reshape and even disrupt global pharmaceutical investments for both better healthspan and longer lifespan.

Artificial intelligence continues to reshape the current global market for better biotech advances, medical innovations, and healthcare services.

The global market for GLP-1 anti-obesity weight-loss treatments now grows substantially to benefit more than 1 billion people worldwide by 2030.

Is higher stock market concentration good or bad for Corporate America?

Geopolitical alignment often reshapes and reinforces asset market fragmentation in the broader context of financial deglobalization.

The global cloud infrastructure helps accelerate the next high-tech revolutions in electric vehicles (EV), virtual reality (VR) headsets, artificial intelligence (AI) online services, and the metaverse.

The new homeland industrial policy stance tilts toward greater global resilience across the major high-tech supply chains worldwide.

China poses new threats to the U.S. and its western allies.

How can generative AI tools and LLMs help enhance human productivity?

What are the macrofinancial ripple effects of central bank digital currency (CBDC) design, issuance, and broad user adoption?

Both BYD and Tesla have become serious global manufacturers of electric vehicles (EV) worldwide.

With U.S. fintech patent approval, accreditation, and protection for 20 years, our AYA fintech network platform provides proprietary alpha stock signals and personal finance tools for stock market investors worldwide.

We build, design, and delve into our new and non-obvious proprietary algorithmic system for smart asset return prediction and fintech network platform automation. Unlike our fintech rivals and competitors who chose to keep their proprietary algorithms in a black box, we open the black box by providing the free and complete disclosure of our U.S. fintech patent publication. In this rare unique fashion, we help stock market investors ferret out informative alpha stock signals in order to enrich their own stock market investment portfolios. With no need to crunch data over an extensive period of time, our freemium members pick and choose their own alpha stock signals for profitable investment opportunities in the U.S. stock market.

Smart investors can consult our proprietary alpha stock signals to ferret out rare opportunities for transient stock market undervaluation. Our analytic reports help many stock market investors better understand global macro trends in trade, finance, technology, and so forth. Most investors can combine our proprietary alpha stock signals with broader and deeper macrofinancial knowledge to win in the stock market.

Through our proprietary alpha stock signals and personal finance tools, we can help stock market investors achieve their near-term and longer-term financial goals. High-quality stock market investment decisions can help investors attain the near-term goals of buying a smartphone, a car, a house, good health care, and many more. Also, these high-quality stock market investment decisions can further help investors attain the longer-term goals of saving for travel, passive income, retirement, self-employment, and college education for children. Our AYA fintech network platform empowers stock market investors through better social integration, education, and technology.

The global market for GLP-1 weight-loss medications can grow substantially to benefit more than 1 billion people worldwide by 2030. - Blog - AYA fintech network platform provides proprietary alpha stock signals and personal finance tools for stock market investors.

The global market for GLP-1 anti-obesity weight-loss medications remains in a rare unique situation ...

https://ayafintech.network/blog/the-global-market-for-GLP-1-weight-loss-medications-grows-substantially-to-benefit-1-billion-people-worldwide-by-2030/

Apple Boston

2025-05-14 03:30:04

Bullish

Quantitative fundamental analysis

Our new podcast deep-dives into how today tech titans, billionaires, serial entrepreneurs, and venture capitalists continue to reshape and even disrupt global pharmaceutical investments for both better healthspan and longer lifespan.

$MRK $PFE $JNJ $BMY $GSK $NVO $LLY $BNT $MRNA $AZN $AMGN $IONQ $QUBT $QBTS $RGTI $C 

$BAC $WFC $JPM $MS $GS $PNC $V $MA $AXP $PLTR $PYPL $ZIM $T $TMUS $VZ $CMCSA $WMT $HD 

$PG $TGT $COST $IBM $ARM $ORCL $CSCO $SNPS $NET $CRWD $SNOW $AMC $AEO $TSM $NIO 




This fun podcast is about 10 minutes long (with smart AI podcast generation from Google NotebookLM). https://bit.ly/41KDNLp

We discuss, describe, and delve into the new medical sciences of longer longevity and their broader implications for stock market investments. In our modern human history since 1950, the average life expectancy worldwide has incrementally risen by 3 months to 5 months each year. The vast majority of men and women can now expect to live well beyond 70 years in many of the rich countries. This demographic mega trend reflects new medications, treatments, and therapies for many common diseases, disorders, symptoms, and other health conditions in association with old age. These diseases, disorders, and other health conditions include heart diseases, diabetes, Alzheimer’s and Parkinson’s diseases, sleep apnea and other disorders, peripheral arterial diseases, liver and kidney diseases, some sorts of cancers, non-alcoholic steato-hepatitis, knee osteoarthritis, and so forth. Many tech titans have invested heavily on high-efficacy medications, treatments, and therapies for these diseases, disorders, and other health conditions in support of both longer lifespan and substantial improvements in the health quality of life.

However, there are at least 2 major caveats. First, the increases in human lifespan are only incremental and so eventually confront the upper limit. Although the global number of centenarians continues to grow over time, this number seems to stretch its limit in due course. A recent Pew Research survey shows the new projection of more than 3.7 million centenarians worldwide by 2050, or almost 3 times as many centenarians per head of population as in 2015. Nonetheless, only one in 1,000 of these centenarians can live beyond 110 years, and almost no one can live beyond 120 years in modern human history. The maximum human age seems to rise at a much slower pace than the average human life expectancy does in recent decades. Second, the average healthspan, or the number of healthy vital years, may or may not keep pace with longer lifespan. For this reason, many tech titans have invested heavily in modern AI technological advancements in new medications, treatments, and therapies to support both longer lifespan and substantial health improvements in the quality of life for many men and women worldwide. Further, pharmaceutical titans have invested significantly in brand-new third-generation anti-obesity weight-loss medications primarily due to their increasingly higher efficacy and other health benefits. As many men and women now live longer lives, longer lifespan reflects a mix of clean, lean, and healthy lifestyle changes, choices, and decisions from good diet and regular exercise to smarter and better sleep, mood control, less or minimal stress, and deeper, greater, and broader social integration with family and friends. Today, new biomedical innovations, research endeavors, and capital investments help slow down and even reverse human age progression.

Several stock market magnates, moguls, tycoons, and key venture capitalists have been instrumental in the creation of lean startups in support of both longer lifespan and better healthspan. For instance, the serial venture capitalist and co-founder of PayPal and Facebook etc, Peter Thiel, invested a hard, high, and hefty fraction of his personal net worth in many medtech advances and lean startups in health care, precision medicine, and biotechnology. These ventures include Palantir, Women’s Healthcare Fund, Founders Fund, and Lindus Health. Specifically, Thiel invested more than $410 million in a strategic partnership between Palantir and the British National Health Service (NHS) to completely revamp the NHS patient data system. In addition, Thiel supported Recharge Capital’s $200 million Women’s Healthcare Fund to focus on high-efficacy alternative medications, treatments, and therapies for breast cancer, endometriosis, and polycystic ovary syndrome (PCOS). Through Founders Fund, Thiel invested many millions of dollars in 5 major lean startups for better biotech and medtech advances, inventions, and solutions. These major lean startups span Forward Health, Emerald, Cambrian, Counsyl, and Stemcentrx (now as part of AbbVie). In the meantime, these ventures focus on the new, non-obvious, and next-generation technical advances and medical innovations in biometric body scans, blood tests, stem cell therapies, and genetic modifications for better disease prevention. In recent years, Thiel contributed to the $6 million venture investment fund for the London company, Lindus Health, to dramatically speed up clinical trials for new medications, treatments, and therapies.

The Stanford co-founders of Google, Larry Page and Sergey Brin, invested heavily in better biotech, healthcare, and precision medicine too, primarily through 2 major Alphabet subsidiaries Verily and Calico. Today, Verily focuses on new medications, treatments, and therapies for dyspraxia, dyslexia, sleep apnea, insomnia, anxiety, depression, and other mental health and movement disorders. Furthermore, Verily seeks to eradicate all sorts of infectious diseases by killing insects and mosquitoes with the Zika, dengue fever, and other viruses and bacteria etc. In addition, Google DeepMind applies machine-learning algorithms and other AI-driven instruments to substantially sharpen the medical predictions of fatal diseases such as kidney and liver failures, stroke, cardiac arrest, sepsis, and pulmonary embolism.

Google DeepMind has built a new program, AlphaFold, from the previous success of AlphaGo in outperforming the top Go chess players worldwide. With AlphaFold, biomedical scientists help accelerate the major identification of new compounds in better clinical trials. Specifically, AlphaFold analyzes how some sequence of amino acids folds into the particular shape for some sort of protein. In essence, AlphaFold helps identify the more complex set of rules for some sequence of amino acids to fold biomedically into the same shape for some sort of protein in the human body. With tremendous success worldwide, AlphaFold accelerates and so revolutionizes the new wave of innovative drug discovery in support of smarter, faster, and better AI-driven medications, treatments, and therapies. In 2024, Google DeepMind CEO and Co-Founder Sir Demis Hassabis and DeepMind Director Dr John Jumper won the Nobel Prize in Chemistry for their recent design and development of AlphaFold for predicting the structures of different proteins from their amino acid sequences. Hassabis and Jumper shared this Nobel Prize with Dr David Baker who worked on computational protein design.

Many clever biomedical scientists had been trying hard to create computer models of the structural processes for folding amino acids into proteins in the human body for many decades. Just as AlphaGo trounced the best Go chess human players in recent years, AlphaFold substantially improved the best efforts of many biomedical scientists in past decades. Specifically, the shape of each protein reveals immense practical importance in terms of what the protein does alone, what other molecules can do to this protein, and the complex chemical interactions between each protein itself and its nearby and adjacent molecules and chains of amino acids. Almost all the basic structural processes of life depend on new complex chemical interactions among vital proteins, molecules, amino acid chains, and so forth. The vast majority of new drug discovery programs aim to find some sorts of molecules in support of desirable chemical interactions. Sometimes these molecules block specific protein actions, and sometimes these molecules encourage and stimulate specific protein actions. Before AlphaFold, more than 50 years of structural biology had produced several hundred thousand reliable protein structures through the traditional X-rays and nuclear-magnetic resonance techniques. AlphaFold and its closest rivals and competitors, ESMFold by Meta AI, OmegaFold by Helixon, and RoseTTAFold by Baker Lab, have provided more than 600 million sharp and accurate predictions of protein shapes for AI-driven medications, treatments, and therapies. Today, these deep machine-learning algorithms and Gen AI models, robots, and instruments etc continue to accelerate new technological advancements in structural biology.

Nowadays, Larry Page and Sergey Brin drive and steer Calico’s scientific research endeavors to build up new longitudinal patient databases. The next steps can help reveal the mainstream medical mechanisms for human age progression. In close collaboration with top institutions such as Harvard Medical School and Mayo Clinic, Calico delves into how biomedical doctors, scientists, and other health specialists can use new medications, treatments, and therapies to help slow down the natural course of human age progression. Today, the Food and Drug Administration (FDA) still does not recognize old age as a disease state and therefore as a proper target for treatment in America. Despite this current obstacle, Calico now navigates many health factors, forces, and biochemical interactions for medical intervention. These best efforts can combine to help each patient return to the new normal steady state. Even though these best efforts cannot reverse human age progression, these best efforts can perhaps help extend human healthspan dramatically in due course.

The founder and serial entrepreneur of Amazon, Jeff Bezos, invested in numerous companies in support of early cancer detection (Grail), immunotherapy (Juno), and anti-aging research (Unity) primarily through his venture fund, Bezos Expeditions. In recent years, the CEO and co-founder of OpenAI, Sam Altman, backed the $1 billion round for the AI-driven healthcare startup, Retro Biosciences, in support of new medications, treatments, and therapies for common diseases, disorders, and other health ailments. Through the Gates Foundation, Bill Gates invested heavily in new high-efficacy medications, vaccines, treatments, therapies, and healthcare services worldwide. Specifically, the Gates Foundation provides a $90 million prize for the new, non-obvious, next-generation pneumococcal conjugate vaccine (PCV). In accordance with the original prize proposal by Nobel Laureate Michael Kremer, the Gates Foundation strives to prevent pneumococcal infections by providing the new vaccine to each person at the $2.00 marginal cost. In recent years, the Gates Foundation continues to finance global biomedical research programs to eradicate HIV-AIDS, tuberculosis, polio, and malaria, especially in sub-Saharan Africa. With Quantum Biosciences, the Gates Foundation now aims to advance mRNA vaccine design, research, and mass production for efficient Covid prevention. Through the Dementia Discovery Fund, Bill Gates supports many lean-startup ventures on new medications and treatments for Alzheimer’s and Parkinson’s diseases. In addition, Gates continues to finance Foundation Medication in support of the new discovery of DNA sequences for cancer medications. Today, Bill Gates serves as one of the major investors in Ginkgo Bioworks. This biotech company helps tailor biochemical health products and medications to men and women with specific DNA sequences. We believe these resultant biomedical research developments can come to fruition in due course.

Beneath the forest canopy of pharmaceutical titans and startups with tech royalty, an undergrowth of lean startups continues to work on new medications, treatments, and therapies against some aspects of human age progression. The basic insight catches on of prolonging both lifespan and healthspan with some pills and potions, in addition to the more conventional baseline approach of diet, exercise, and high-quality sleep. New diagnostic tools, machines, and instruments provide the means for biomedical scientists to calculate the biological ages of both bodies and organs by comparison to actual calendar ages. In principle, this new capability allows both lifespan and healthspan studies to attain remarkable results in less than a lifetime. New gene modifications further help analyze vast amounts of gene sequence data. This new capability helps personalize new stem cells, medications, and treatments with a broader menu of therapeutic options.

Unlike many machines, bodies both make themselves and repair themselves. Why do human bodies age progressively with so many imperfections? Perhaps the high designer of life, natural evolution, focuses on better reproduction instead of longer lifespan. Life arises as a result of genes, development, behavior, and the broader environment. With accidents, predators, and diseases, the environment kills many creatures. Genes with health benefits that show up only over a longer lifespan than the broader environment allows in practice are not likely to perform particularly well in reproduction unless these genes provide some other health benefits. Genes that provide a fertile youth with successful reproduction are often onto a winner. There is some evidence that one variant of a specific gene in association with Alzheimer’s and Parkinson’s diseases provides reproductive advantages to young people.

From the evolutionary point of view of the genes, a person is a way to make further copies of the genes. In this wider view, a person’s life is a means to an end but not an end in itself. Keeping the human body’s repair mechanisms in tip-top conditions is worthwhile only if the human body gets more genes into the next generation. In this disposable soma approach, the person is a means to an end, and we abandon the life if it is no longer fit for the mainstream purpose of reproduction. This broader perspective helps explain why many diseases and other health conditions are often common in old age but relatively rare in early life. These diseases and other health conditions include Alzheimer’s and Parkinson’s diseases, diabetes, heart diseases, some sorts of cancers, retinal degeneration, osteoarthritis, and so forth.

Many genes have variants, also known as alleles, and all of these alleles work but may cause slightly different effects. With the genetic manipulation of lab organisms, some studies of the genes of human centenarians have identified alleles of specific genes that have been proven experimentally to prolong lifespan. These genes also result in significant improvements in the health quality of life. In recent years, these new studies can often help illuminate the natural course of human age progression. In recent years, these new studies suggest 12 hallmarks of human age progression. The dirty dozen spans genomic instability, telomere attrition, epigenetic alteration, metabolic decline for nutrient energy, mitochondrion dysfunction, proteostasis loss, stem cell exhaustion, chronic inflammation, autophagy decline, dysbiosis, cellular senescence, and intercellular breakdown. We delve into the mainstream scientific progress on each of these 12 hallmarks of human age progression. The devil is in the detail. Biomedicine can be quite complex. Sometimes a biomedical intervention may perform well in more than one field. At other times, there may be trade-offs in new medications, treatments, and therapies. We discuss, describe, and delve into the biomedical sciences of both longer lifespan and smarter and better healthspan, as well as their broader implications for stock market investments.

Below we provide hyperlinks to many other recent podcasts and articles on global macro-finance, asset return prediction, and fundamental industry analysis for stock market investors.

American exceptionalism often turns out to be the heuristic rule of thumb for better economic growth, low and stable inflation, full employment, and macro-financial stability.

In the broader modern monetary policy context, central banks learn to weigh the trade-offs between output and inflation expectations and macro-financial stress conditions.

Today, tech titans, billionaires, serial entrepreneurs, and venture capitalists continue to reshape and even disrupt global pharmaceutical investments for both better healthspan and longer lifespan.

Artificial intelligence continues to reshape the current global market for better biotech advances, medical innovations, and healthcare services.

The global market for GLP-1 anti-obesity weight-loss treatments now grows substantially to benefit more than 1 billion people worldwide by 2030.

Is higher stock market concentration good or bad for Corporate America?

Geopolitical alignment often reshapes and reinforces asset market fragmentation in the broader context of financial deglobalization.

The global cloud infrastructure helps accelerate the next high-tech revolutions in electric vehicles (EV), virtual reality (VR) headsets, artificial intelligence (AI) online services, and the metaverse.

The new homeland industrial policy stance tilts toward greater global resilience across the major high-tech supply chains worldwide.

China poses new threats to the U.S. and its western allies.

How can generative AI tools and LLMs help enhance human productivity?

What are the macrofinancial ripple effects of central bank digital currency (CBDC) design, issuance, and broad user adoption?

Both BYD and Tesla have become serious global manufacturers of electric vehicles (EV) worldwide.

With U.S. fintech patent approval, accreditation, and protection for 20 years, our AYA fintech network platform provides proprietary alpha stock signals and personal finance tools for stock market investors worldwide.

We build, design, and delve into our new and non-obvious proprietary algorithmic system for smart asset return prediction and fintech network platform automation. Unlike our fintech rivals and competitors who chose to keep their proprietary algorithms in a black box, we open the black box by providing the free and complete disclosure of our U.S. fintech patent publication. In this rare unique fashion, we help stock market investors ferret out informative alpha stock signals in order to enrich their own stock market investment portfolios. With no need to crunch data over an extensive period of time, our freemium members pick and choose their own alpha stock signals for profitable investment opportunities in the U.S. stock market.

Smart investors can consult our proprietary alpha stock signals to ferret out rare opportunities for transient stock market undervaluation. Our analytic reports help many stock market investors better understand global macro trends in trade, finance, technology, and so forth. Most investors can combine our proprietary alpha stock signals with broader and deeper macrofinancial knowledge to win in the stock market.

Through our proprietary alpha stock signals and personal finance tools, we can help stock market investors achieve their near-term and longer-term financial goals. High-quality stock market investment decisions can help investors attain the near-term goals of buying a smartphone, a car, a house, good health care, and many more. Also, these high-quality stock market investment decisions can further help investors attain the longer-term goals of saving for travel, passive income, retirement, self-employment, and college education for children. Our AYA fintech network platform empowers stock market investors through better social integration, education, and technology.

Today, tech titans continue to reshape and even disrupt global pharmaceutical investments for both better healthspan and longer lifespan. - Blog - AYA fintech network platform provides proprietary alpha stock signals and personal finance tools for stock market investors.

This report delves into how today tech titans, billionaires, and venture capitalists continue to res...

https://ayafintech.network/blog/today-tech-titans-reshape-global-pharmaceutical-investments-for-both-better-healthspan-and-longer-lifespan/

See More

Blog+More

AYA free finbuzz analytic report on the U.S. top tech titans FAMGA Spring-Summer 2020

Chanel Holden

2020-05-05 09:31:00 Tuesday ET

AYA free finbuzz analytic report on the U.S. top tech titans FAMGA Spring-Summer 2020

Our fintech finbuzz analytic report shines fresh light on the fundamental prospects of U.S. tech titans Facebook, Apple, Microsoft, Google, and Amazon (F.A.

+See More

Internal capital markets and financial constraints

Charlene Vos

2022-10-15 09:34:00 Saturday ET

Internal capital markets and financial constraints

Internal capital markets and financial constraints Duchin (JF 2010) empirically finds that multidivisional firms with robust internal capital markets ret

+See More

David Colander and Craig Freedman argue that economics went wrong when there was no neoclassical firewall between economic theories and policy reforms.

Becky Berkman

2023-11-28 11:35:00 Tuesday ET

David Colander and Craig Freedman argue that economics went wrong when there was no neoclassical firewall between economic theories and policy reforms.

David Colander and Craig Freedman argue that economics went wrong when there was no neoclassical firewall between economic theories and policy reforms. D

+See More

Michael Kors pays $2.3 billion to acquire the Italian elite fashion brand Versace.

Joseph Corr

2018-09-27 11:41:00 Thursday ET

Michael Kors pays $2.3 billion to acquire the Italian elite fashion brand Versace.

Michael Kors pays $2.3 billion to acquire the Italian elite fashion brand Versace. In accordance with Michael Kors's 5-year plan, the joint company grow

+See More

Product market competition and online ecommerce help constrain money supply growth with low inflation.

Peter Prince

2019-09-25 15:33:00 Wednesday ET

Product market competition and online ecommerce help constrain money supply growth with low inflation.

Product market competition and online e-commerce help constrain money supply growth with low inflation. Key e-commerce retailers such as Amazon, Alibaba, an

+See More

France and Germany are the biggest beneficiaries of Sino-U.S. trade escalation.

Chanel Holden

2019-07-11 10:48:00 Thursday ET

France and Germany are the biggest beneficiaries of Sino-U.S. trade escalation.

France and Germany are the biggest beneficiaries of Sino-U.S. trade escalation, whereas, Japan, South Korea, and Taiwan suffer from the current trade stando

+See More