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AMC Entertainment Holdings Inc. Class A Common Stock (NYSE:AMC)

Real-time price:$2.68

AMC Entertainment Holdings, Inc., operates as a theatrical exhibition company primarily in the United States and internationally. It owned or interests in theatres and screens. AMC Entertainment Holdings, Inc. is based in Leawood, Kansas....

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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 26 April 2025

Monica McNeil

2025-05-03 03:46:11

Bullish

Quantitative fundamental analysis

Our latest podcast deep-dives into the stock market implications of financial deglobalization in recent years. Geopolitical alignment often reshapes and reinforces asset market fragmentation in the broader context of financial deglobalization.


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

$BABA $BIDU $TME $BILI $JD $PDD $IQ $NIO $KKR $ORCL $NET $CRWD $SNOW $SNPS $AMC $PARA 

$BAC $WFC $JPM $MS $GS $C $V $MA $AXP $PNC $PYPL $PLTR $HPE $PFE $COST $WMT $HD $TGT 

$PG $KO $IONQ $ZIM $MAC $JNJ $MRK $BMY $LLY $MRNA $BNT $GSK $HP $RACE $QUBT $QBTS $T 


#issuance #accrual #shortreversal #longreversal #residualvariance #returnvariance #fibonacci #murphyrank 

The original blog article is available on our AYA fintech network platform.
https://ayafintech.network/blog/geopolitical-alignment-often-reshapes-and-reinforces-asset-market-fragmentation-in-the-broader-context-of-financial-deglobalization/

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

We delve into the mainstream public policy implications of financial deglobalization in recent years. The U.S. and its western allies impose some economic sanctions on global trade and finance in relation to China, Russia, Iran, and North Korea. In addition to these sanctions, hefty tariffs, embargoes, and foreign investment bans and restrictions further limit the macrofinancial clout of these countries. As the U.S. and its western allies cut off favorable trade relations with China, Russia, Iran, and North Korea, the current Russia-Ukraine war, the potential invasion of Taiwan by China, the relentless conflict between Israel and Hamas and the Palestinians, and several other geopolitical tensions exacerbate recent asset market fragmentation in the broader context of financial deglobalization. Even though the American dollar remains the dominant global reserve currency and global supply chains prove to be more resilient, global capital flows start to fragment in different directions in the particular context of financial deglobalization. The postwar world order of free trade continues to fall apart at a relatively slow and gradual pace.

The postwar global institutions that safeguard the old world order of free trade are either already defunct or deficient with a lack of longer-term credible commitments these days. The World Trade Organization (WTO) turns 30 in 2025, but continues to have spent more than 5 years in stasis due to western neglect. The World Bank seems to be caught between fighting world poverty and enriching the upper social echelon in new market economies with higher population dividends such as China, Brazil, India, Indonesia, and the Philippines. The International Monetary Fund (IMF) confronts its identity crisis and remains stuck in the middle between global financial stability and green finance in support of better climate risk management worldwide. The World Health Organization (WHO) now needs to cope with the post-pandemic public health risks and threats worldwide, such as new variants of the corona virus. In recent years, the U.N. security council fails to secure world peace and prosperity due to the Russia-Ukraine war in Eastern Europe, the relentless conflict between Israel and Iran, Hamas, and the Palestinians, as well as the recurrent flash points in the North Korean peninsula, Taiwan, South China Sea, and wider Pacific Ocean. The International Court of Justice attempts to weaponize the U.S. and its western allies by issuing arrest warrants for President Vladimir Putin and others who launch wars against humanity, but the Court has little jurisdiction over Russia and Ukraine in Eastern Europe, the Gaza Strip in Middle East, and the Pacific first island chain from the North Korean peninsula and Japan to Taiwan and the Philippines.

The resultant fragmentation of free markets in new democracies imposes a stealth tax on the global economy, in the form of higher inflation or lower purchasing power for each marginal dollar. Unfortunately, human history shows that deeper financial deglobalization may inadvertently worsen the current tilt toward secular stagnation worldwide. Today, a similar rupture seems all too imaginable. The return of Donald Trump to the White House, with his zero-sum worldview, would probably continue the gradual and recurrent erosion of global institutions, norms, and principles all in support of both free trade and democratic capitalism. The far-flung fear of a second wave of low-cost imports from China would likely accelerate this global trend. Any outright war between America and China over Taiwan, or between the NATO and Russia, would further cause an almighty collapse of the world trade system.

Nowadays, it is fashionable for economists to criticize free-market globalization as the root cause of social disparities in wealth and income worldwide, global financial imbalances, as well as climate change risks (even the increasingly hefty economic costs of rare extreme weather events). However, the free trade achievements from the 1990s to the early-2000s help mark the high point of liberal capitalism and then continue to be a rare, unique, and inimitable episode of human history. Through a free ride on the transition to new market economies, China, Brazil, India, Indonesia, and the Philippines integrated into the world economy. As a result, many hundreds of millions escaped poverty. Also, the current infant mortality rate worldwide is less than half what the rate was back in the 1990s, due to greater clean water and food. The proportion of global deaths due to inter-state wars and conflicts has hit a post-war low, less than a thousandth of 0.2% today, down from almost 40 times as high more than 50 years ago. Today, many leaders and politicians hope to replace the old Washington consensus on free trade and market capitalism. The Washington consensus depicts a world economy where poor countries enjoy capital spending booms to catch up on economic growth and employment with rich countries. Due to economic and non-economic risks and issues such as climate change, extreme weather, pandemic disease control, credit contagion, and nuclear proliferation etc, many leaders and politicians attempt to close the economic gap between rich and poor countries through alternative means of trade, finance, and technology.

Indeed, the postwar world order of free trade achieved a merry marriage between the U.S. peace principles and strategic interests. At the same time, this new liberal world order further brought real economic benefits to the rest of the world. In some parts of the world, however, poor residents continue to suffer from the World Bank and IMF’s inability to resolve the sovereign debt crisis after the Covid-19 pandemic years. Several middle-income countries such as India and Indonesia hope to trade their way to riches, but these countries end up trying to exploit free-trade loopholes and opportunities due to financial deglobalization and asset market fragmentation. In practice, the global economy should remain robust, resilient, and predictable in integrating most prior trade blocs and regions into the new world order of fair trade. In due course, the fair-trade integration helps ensure global peace and prosperity with the long prevalent American-driven institutions, norms, and principles in favor of free-market capitalism, democratization, and the lofty pursuit of a good life.

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.
Podcast: https://bit.ly/4iuWuJ9
Article: https://ayafintech.network/blog/american-exceptionalism-turns-out-to-be-the-heuristic-rule-of-thumb-for-better-economic-growth-low-stable-inflation-full-employment-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.
Podcast: https://bit.ly/42SwrXG
Article: https://ayafintech.network/blog/central-banks-weigh-the-monetary-policy-trade-offs-between-output-inflation-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.
Podcast: https://bit.ly/41KDNLp
Article: https://ayafintech.network/blog/today-tech-titans-reshape-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.
Podcast: https://bit.ly/4hBVimM
Article: https://ayafintech.network/blog/the-new-integration-of-artificial-intelligence-reshapes-the-competitive-landscape-for-the-global-market-for-better-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.
Podcast: https://bit.ly/4bz6vmI
Article: https://ayafintech.network/blog/the-global-market-for-GLP-1-weight-loss-medications-grows-substantially-to-benefit-1-billion-people-worldwide-by-2030/

Is higher stock market concentration good or bad for Corporate America?
Podcast: https://bit.ly/3F1fpgN
Article: https://ayafintech.network/blog/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.
Podcast: https://bit.ly/3ZpGMcD
Article: https://ayafintech.network/blog/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.
Podcast: https://bit.ly/47pDk3z
Article: https://ayafintech.network/blog/the-global-cloud-infrastructure-helps-expand-what-can-be-made-digitally-viable-from-electric-vehicles-and-virtual-reality-headsets-to-artificial-intelligence-metaverse/

The new homeland industrial policy stance tilts toward greater global resilience across the major high-tech supply chains worldwide.
Podcast: https://bit.ly/3B6xY12
Article: https://ayafintech.network/blog/the-current-homeland-industrial-policy-stance-worldwide-seeks-to-embed-the-new-notion-of-global-resilience-into-economic-statecraft/

China poses new threats to the U.S. and its western allies.
Podcast: https://bit.ly/3XGWrD1
Article: https://ayafintech.network/blog/china-poses-new-economic-technological-and-military-threats-to-the-us-and-western-allies/

How can generative AI tools and LLMs help enhance human productivity?
Podcast: https://bit.ly/4elAFKv
Article: https://ayafintech.network/blog/generative-artificial-intelligence-uses-large-language-models-and-content-generation-tools-to-enhance-human-productivity/

What are the macrofinancial ripple effects of central bank digital currency (CBDC) design, issuance, and broad user adoption?
Podcast: https://bit.ly/3XNMwM8
Article: https://ayafintech.network/blog/central-banks-should-shape-cbdc-design-features-and-functions-to-reduce-any-adverse-impact-on-bank-intermediation/

Both BYD and Tesla have become serious global manufacturers of electric vehicles (EV) worldwide.
Podcast: https://bit.ly/3BgL0sL
Article: https://ayafintech.network/blog/mainstream-technological-advances-in-the-global-auto-industry/

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.

Geopolitical alignment often reshapes and reinforces asset market fragmentation in the broader context of financial deglobalization. - Blog - AYA fintech network platform provides proprietary alpha stock signals and personal finance tools for stock market investors.

Geopolitical alignment often reshapes and reinforces asset market fragmentation in the broader conte...

https://ayafintech.network/blog/geopolitical-alignment-often-reshapes-and-reinforces-asset-market-fragmentation-in-the-broader-context-of-financial-deglobalization/\nThis

Chanel Holden

2025-05-01 11:08:03

Bullish

Quantitative fundamental analysis

Our latest podcast deep-dives into the technological advancements in cloud services. 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.


$META $AAPL $MSFT $AMZN $GOOG $GOOGL $NVDA $TSLA $TSM $ARM $QCOM $AVGO $AMD $IONQ 

$ASML $CSCO $SNPS $IBM $NET $CRWD $SNOW $COST $WMT $TGT $HD $PG $V $MA $AXP $BABA 

$BIDU $TME $JD $PDD $IQ $BILI $KKR $AMC $PARA $NFLX $DIS $WRB $PYPL $PLTR $ZIM $PFE $MRK 


#residualvariance #returnvariance #fibonacci #murphyrank #bollinger #shortreversal #longreversal #issuance 

The original blog article is available on our AYA fintech network platform.
https://ayafintech.network/blog/the-global-cloud-infrastructure-helps-expand-what-can-be-made-digitally-viable-from-electric-vehicles-and-virtual-reality-headsets-to-artificial-intelligence-metaverse/

This fun podcast is about 10 minutes long (with smart AI podcast generation from Google NotebookLM). https://bit.ly/47pDk3z

The global market for mobile cloud telecommunication continues to expand into a widespread economic phenomenon. Through the new mobile cloud infrastructure, the Internet broadens and deepens what can be made digitally feasible from virtual reality (VR) headsets and electric vehicles (EV) to artificial intelligence (AI) and the metaverse. In this positive light, the current cloud infrastructure can help facilitate a new wave of digital revolutions worldwide. Underneath all of these layers of cloud abstraction, the Internet infrastructure serves as the new foundation of our chosen digital future. In the broader context of digital technological advancements, we help demystify the physical building blocks of the cloud Internet infrastructure worldwide in order to explain how they mold, shape, expand, and constrain digital abstraction. Now many practical Internet uses multiply far beyond the original remit. Specifically, we delve into what the physical layers of cloud abstraction are likely to change for the Internet to remain sustainable both in the physical sense and in the wider sense of global environmental protection.

From the seabed across the Atlantic and Pacific Oceans to data centers in the key cities on the U.S. West Coast and the East Coast, the fiber-optic cables form the backbone of the physical Internet worldwide. Through the fiber-optic cables, almost all Internet traffic flows back and forth day in and day out. From Apple and Google to Meta, Microsoft, and Amazon, several tech titans vertically integrate the Internet by laying out fiber-optic cables, building out data centers in different countries, and further providing cloud services with AI search engines, robots, avatars, and virtual assistants. As the Internet becomes more powerful, it is vitally important for us to better understand its physical and corporate composition. Only by peeling back the multiple layers of digital abstraction can one lay bare the critical foundations of the new Internet. In the Internet, all technological advancements help support the next dual waves of both business model transformations and digital revolutions around the world. These advancements shine fresh light on how AI-driven cloud services help accelerate the new generation of disruptive innovations in trade, finance, and technology. Every new business can become an AI cloud service provider.

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.
Podcast: https://bit.ly/4iuWuJ9
Article: https://ayafintech.network/blog/american-exceptionalism-turns-out-to-be-the-heuristic-rule-of-thumb-for-better-economic-growth-low-stable-inflation-full-employment-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.
Podcast: https://bit.ly/42SwrXG
Article: https://ayafintech.network/blog/central-banks-weigh-the-monetary-policy-trade-offs-between-output-inflation-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.
Podcast: https://bit.ly/41KDNLp
Article: https://ayafintech.network/blog/today-tech-titans-reshape-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.
Podcast: https://bit.ly/4hBVimM
Article: https://ayafintech.network/blog/the-new-integration-of-artificial-intelligence-reshapes-the-competitive-landscape-for-the-global-market-for-better-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.
Podcast: https://bit.ly/4bz6vmI
Article: https://ayafintech.network/blog/the-global-market-for-GLP-1-weight-loss-medications-grows-substantially-to-benefit-1-billion-people-worldwide-by-2030/

Is higher stock market concentration good or bad for Corporate America?
Podcast: https://bit.ly/3F1fpgN
Article: https://ayafintech.network/blog/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.
Podcast: https://bit.ly/3ZpGMcD
Article: https://ayafintech.network/blog/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.
Podcast: https://bit.ly/47pDk3z
Article: https://ayafintech.network/blog/the-global-cloud-infrastructure-helps-expand-what-can-be-made-digitally-viable-from-electric-vehicles-and-virtual-reality-headsets-to-artificial-intelligence-metaverse/

The new homeland industrial policy stance tilts toward greater global resilience across the major high-tech supply chains worldwide.
Podcast: https://bit.ly/3B6xY12
Article: https://ayafintech.network/blog/the-current-homeland-industrial-policy-stance-worldwide-seeks-to-embed-the-new-notion-of-global-resilience-into-economic-statecraft/

China poses new threats to the U.S. and its western allies.
Podcast: https://bit.ly/3XGWrD1
Article: https://ayafintech.network/blog/china-poses-new-economic-technological-and-military-threats-to-the-us-and-western-allies/

How can generative AI tools and LLMs help enhance human productivity?
Podcast: https://bit.ly/4elAFKv
Article: https://ayafintech.network/blog/generative-artificial-intelligence-uses-large-language-models-and-content-generation-tools-to-enhance-human-productivity/

What are the macrofinancial ripple effects of central bank digital currency (CBDC) design, issuance, and broad user adoption?
Podcast: https://bit.ly/3XNMwM8
Article: https://ayafintech.network/blog/central-banks-should-shape-cbdc-design-features-and-functions-to-reduce-any-adverse-impact-on-bank-intermediation/

Both BYD and Tesla have become serious global manufacturers of electric vehicles (EV) worldwide.
Podcast: https://bit.ly/3BgL0sL
Article: https://ayafintech.network/blog/mainstream-technological-advances-in-the-global-auto-industry/

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 cloud expands what can be made digitally viable from electric vehicles (EV) and virtual reality (VR) headsets to artificial intelligence (AI) and the metaverse. - Blog - AYA fintech network platform provides proprietary alpha stock signals and personal finance tools for stock market investors.

We help demystify the physical building blocks of the Internet infrastructure in order to explain ho...

https://ayafintech.network/blog/the-global-cloud-infrastructure-helps-expand-what-can-be-made-digitally-viable-from-electric-vehicles-and-virtual-reality-headsets-to-artificial-intelligence-metaverse/\nThis

Becky Berkman

2025-04-26 01:40:54

Bullish

Quantitative fundamental analysis

Our latest podcast deep-dives into American exceptionalism and economic growth outperformance both by historical standards and in comparison to the rest of the world in recent decades.

$META $AAPL $MSFT $GOOG $GOOGL $AMZN $NVDA $TSLA $COST $PG $HD $CVS $WMT $TGT $T 

$TMUS $VZ $SNOW $CRWD $NET $IONQ $ZIM $QCOM $TSM $BABA $BIDU $TME $BILI $JD $PDD $IQ 

$ORCL $IBM $CSCO $SNPS $AEO $AMC $PARA $NFLX $DIS $WRB $KKR $XOM $OXY $PSX $F $RACE 



The original blog article is available on our AYA fintech network platform.
https://ayafintech.network/blog/american-exceptionalism-turns-out-to-be-the-heuristic-rule-of-thumb-for-better-economic-growth-low-stable-inflation-full-employment-macro-financial-stability/

This fun podcast is about 10 minutes long (with smart AI podcast generation from Google NotebookLM). https://bit.ly/4iuWuJ9

We delve into the mainstream root causes of higher productivity growth in America despite several recent extraordinary events. These rare events include the dotcom stock market crash of 2001-2002, Global Financial Crisis of 2008-2009, Covid-19 pandemic crisis of 2020-2022, and the subsequent surge in inflation and domestic unemployment. In this wider macro context, we explain and discuss why American productivity growth has been so impressive in comparison to the rest of the world. We can draw some vital lessons from American productivity growth in global trade, finance, and technology.

With impressively higher productivity growth, America continues to lead the rest of the world. America’s recent rise as the world’s biggest shale oil producer continues to fuel its own economic growth in the next couple of decades. America’s deep and liquid capital markets for stocks, bonds, ETFs, and so on continue to deliver higher returns, cash dividends, and share repurchases for global investors. The American dollar continues to serve as the dominant global reserve currency for trade, finance, and technology. Only toxic politics can derail American economic growth, low and stable inflation, maximum sustainable employment, and macro-financial stability.

Since the early-1990s, America has grown substantially faster than most other rich countries. Also, the American economy has rebounded more significantly from its recent recessions along the way. In practice, U.S. economic growth has been best-in-class, and American strengths give grounds for greater optimism about the next likely economic power, productivity growth, macro-financial stability, and maximum sustainable employment. However, the U.S. fraction of global GDP has decreased incrementally from 21% in 1990 to 16% today in real purchasing-power parity (PPP) terms. Even the economic growth spurts of the world’s 2 most populous countries, China and India, lag behind American exceptionalism. China’s real GDP per capita remains less than one third of U.S. real GDP per capita. India’s real GDP per capita is still smaller today. In recent years, higher American productivity growth has been impressive by both historical standards and in comparison to the rest of the world. American exceptionalism often turns out to be the heuristic rule of thumb for wider economic growth, full employment, low and stable inflation, real productivity growth, technological advancement, and macro-financial stability.

On a per-person basis, American economic output is now more than 40% higher than economic output in Western Europe and Canada, and about 60% higher than economic output in Japan. Today, these economic output gaps are approximately twice as large as they were back in 1990. Average wages in the poorest American state, Mississippi, remain higher than average wages in Australia, Britain, Canada, France, and Germany. A recent IMF survey shows that America is the only country whose economic output and employment are above pre-pandemic expectations in the G20 club. This impressive productivity growth combines with the global reserve currency status of the U.S. dollar to entrench global economic heft for America and wealth creation for Americans.

We explain and discuss why American productivity growth has been so impressive for so long. Also, we explain and discuss why this growth is likely to continue in the next couple of decades. Some of the fundamental forces relate to the good fortune due to geography. As a quasi-continental economy with a big and broad consumer market, American companies benefit substantially from this sheer economic scale. A good product idea that some Silicon Valley tech startup hatches in California can often spread to the other 49 states in short order. Also, America integrates its labor market into the global economic ecosystem. This integration allows Americans to move to better jobs with higher wages. At the same time, this integration empowers Americans to gravitate toward more productive strategic sectors of high technology. These strategic sectors include semiconductor microchip production, higher-speed broadband cloud services, telecoms, electric vehicles (EV), autonomous robotaxis (AR), generative artificial intelligence (Gen AI) large language models (LLM), and biopharmaceutical medications, treatments, and therapies. In light of green energy transformation, the American-led improvements in techniques for extracting hydro-carbons from shale rocks have turned America into the world’s largest producer of oil and natural gas over the past couple of decades.

With its deep, broad, and liquid financial markets, America has made it both easier and faster for startups to raise new equity. In stark contrast to the alternative debt capital instruments such as bank loans and corporate bonds, this key equity capital availability serves as a better way for numerous American companies to get off the ground. In practice, this novel and non-obvious profusion of young companies has helped build out the broader vital, vibrant, and dynamic startup ecosystem for high technology in America. In addition, the dominant global reserve currency status of the American dollar helps further make global trade, finance, and technology more frictionless for American business. From Harvard, Yale, MIT, NYU, Columbia, and Chicago to Stanford and UC Berkeley, America has many of the world’s best think tanks, universities, and research institutes. These academic institutions attract the world’s best students, doctors, scientists, engineers, statisticians, economists, and other fresh talents worldwide.

In America, business rules and regulations are relatively lax, lenient, tolerant, and inclusive. This broader deregulatory business context has given high-tech startups ample room to grow their core business operations in the midst of significantly less economic policy uncertainty. In the recent couple of decades, the U.S. government has made bold, robust, and resolute interventions in response to some rare crises, disasters, and other extraordinary events. These rare crises span the dotcom stock market crash, Global Financial Crisis, Eurozone sovereign debt debacle, Covid-19 pandemic crisis, and subsequent inflationary outbreak worldwide. At any rate, it is impossible for us to explain America’s smarter, faster, and better economic growth engine without acknowledging the U.S. government’s open and inclusive attitude toward stepping on the financial accelerator pedal when the real economy sputters. The resultant positive government interventions often arise in the common form of better fiscal-monetary policy coordination. In modern economic history, there is an element of relentless dynamism in American business. This unique characteristic of the American economy continues to be the ultimate fundamental force in support of higher-quality economic growth over the next couple of decades.

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

Geopolitical alignment often reshapes and reinforces asset market fragmentation in the broader context of financial deglobalization.
https://ayafintech.network/blog/geopolitical-alignment-often-reshapes-and-reinforces-asset-market-fragmentation-in-the-broader-context-of-financial-deglobalization/

In the modern monetary system, each central bank digital currency (CBDC) helps better anchor public trust in money in support of economic welfare, especially in a new cashless society.
https://ayafintech.network/blog/central-banks-should-shape-cbdc-design-features-and-functions-to-reduce-any-adverse-impact-on-bank-intermediation/

Economic policy incrementalism for better fiscal and monetary policy coordination
https://ayafintech.network/blog/economic-policy-incrementalism-for-better-fiscal-and-monetary-policy-coordination/

The bank-credit-card model and fintech platforms have adapted well to the recent digitization of cashless finance.
https://ayafintech.network/blog/the-bank-credit-card-model-and-fintech-platforms-have-adapted-well-to-the-recent-digitization-of-cashless-finance/

Paul Morland shows that demographic changes lead to modern economic growth in the current world.
https://ayafintech.network/blog/paul-morland-argues-that-demographic-changes-lead-to-modern-economic-growth-in-the-current-world/

New Keynesian monetary policy framework
https://ayafintech.network/blog/new-keynesian-monetary-policy-framework/

Michael Woodford provides the theoretical foundations of monetary policy rules in ever more efficient financial markets.
https://ayafintech.network/blog/michael-woodford-provides-the-theoretical-foundations-of-monetary-policy-rules-in-efficient-financial-markets/

Government intervention remains a major influence over global trade, finance, and technology.
https://ayafintech.network/blog/government-intervention-remains-a-core-influence-over-global-trade-finance-and-technology/

Peter Isard analyzes the proper economic policy reforms and root causes of global financial crises of the 1990s and 2008-2009.
https://ayafintech.network/blog/peter-isard-analyzes-the-proper-economic-policy-reforms-and-root-causes-of-global-financial-crises/

Ray Fair applies his macroeconometric model to study the central features of the real economy such as price stability and full employment in the dual mandate.
https://ayafintech.network/blog/ray-fair-applies-his-macro-model-to-study-the-central-features-of-the-economy-price-stability-full-employment-dual-mandate/

Carmen Reinhart and Kenneth Rogoff analyze long-run crisis data to find the root causes of recent financial crises for better bank capital regulation and asset market stabilization.
https://ayafintech.network/blog/carmen-reinhart-and-kenneth-rogoff-analyze-long-run-crisis-data-to-find-the-root-causes-of-financial-crises-for-better-bank-capital-regulation-and-asset-market-stabilization/

Anat Admati and Martin Hellwig raise critical issues about bank capital regulation and asset market stabilization.
https://ayafintech.network/blog/admati-and-hellwig-raise-issues-about-bank-capital-regulation-and-asset-market-stabilization/

American bank failure resolution and financial risk management for Silicon Valley Bank, Signature Bank, and First Republic Bank
https://ayafintech.network/blog/bank-failure-resolution-financial-risk-management-silicon-valley-bank-first-republic-bank/

Timothy Geithner shares his personal reflections on the post-crisis macro financial stress tests for U.S. banks.
https://ayafintech.network/blog/timothy-geithner-shares-his-reflections-on-the-macro-financial-stress-tests-for-american-banks/

The Federal Reserve System conducts modern monetary policy decisions, interest rate adjustments, and inter-bank payment operations.
https://ayafintech.network/blog/federal-reserve-conducts-monetary-policy-decisions-interest-rate-adjustments-and-inter-bank-payment-operations/

Barry Eichengreen compares the Great Depression of the 1930s versus the Great Recession of 2008-2009 as historical episodes of economic woes.
https://ayafintech.network/blog/barry-eichengreen-compares-the-great-depression-and-global-financial-crisis-as-episodes-of-economic-woes/

Former Bank of England Governor Mervyn King provides his substantive analysis of the Global Financial Crisis of 2008-2009.
https://ayafintech.network/blog/former-bank-of-england-governor-mervyn-king-provides-his-deep-substantive-analysis-of-the-global-financial-crisis/

Michel De Vroey discusses the global history of macro-economic theories from real business cycles to persistent non-neutral monetary policy effects.
https://ayafintech.network/blog/de-vroey-delves-into-the-global-history-of-macroeconomic-theories-from-real-business-cycles-to-persistent-monetary-effects/

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.

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. - Blog - AYA fintech network platform provides proprietary alpha stock signals and personal finance tools for stock market investors.

This report delves into American exceptionalism and economic growth outperformance both by historica...

https://ayafintech.network/blog/american-exceptionalism-turns-out-to-be-the-heuristic-rule-of-thumb-for-better-economic-growth-low-stable-inflation-full-employment-macro-financial-stability/

Monica McNeil

2025-03-23 03:41:22

Bullish

Quantitative fundamental analysis

Our latest podcast deep-dives into why, whether, and 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.


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$MRK $AMGN $UNH $MRNA $T $VZ $TMUS $AEO $AMC $CVS $WMT $TGT $COST $V $MA $AXP 

$MSFT $GOOG $GOOGL $AMZN $AAPL $META $NVDA $TSLA $CSCO $ORCL $IBM $ASML $SNPS 

$NET $CRWD $PARA $NFLX $DIS $BILI $IQ $JD $PDD $BABA $TME $BIDU $BLK $STT $IONQ $C 



The original blog article is available on our AYA fintech network platform. https://ayafintech.network/blog/today-tech-titans-reshape-global-pharmaceutical-investments-for-both-better-healthspan-and-longer-lifespan/

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.

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/\nThis

James Campbell

2025-03-21 05:43:14

Bullish

Quantitative fundamental analysis

Our latest podcast deep-dives into the fundamental reasons why President Donald Trump continues to blame China for the long prevalent U.S. trade deficits and several other social and economic deficiencies as he moves into his second term.

$META $AAPL $MSFT $GOOG $GOOGL $AMZN $NVDA $TSLA $BRK.A $BRK.B $AMD $QCOM $AVGO 

$BABA $BIDU $TME $BILI $JD $IQ $PDD $NIO $RIVN $IONQ $QUBT $QBTS $RGTI $ASML $ORCL $C 

$V $MA $AXP $BAC $JPM $WFC $PNC $MS $GS $CSCO $IBM $SNPS $NET $CRWD $AMC $AEO $T 



Article: https://ayafintech.network/blog/president-trump-blames-china-for-the-long-prevalent-us-trade-deficits-and-other-social-and-economic-woes/

Podcast: https://bit.ly/42ucDKt

In recent years, President Donald Trump blames China for the long prevalent high U.S. trade deficits against the middle kingdom. Now China seems to hollow out the American industrial homeland from smartphones and semiconductor microchips to electric vehicles (EV), drones, high-speed broadband networks, cloud services, and even large language models (LLM) for generative artificial intelligence. President Trump further blames China for causing the Covid pandemic crisis worldwide. Also, President Trump accuses China of attacking the U.S. and its western allies with fentanyl in the current opioid crisis. Given his U.S. domestic economic protectionism, President Trump seeks to double down on the hardline trade war with China. Specifically, President Trump seeks to impose hefty tariffs, export restrictions, and indefinite bans on many foreign investment categories against China. As President Trump moves into his second term, he continues to view China as a geopolitical adversary in a zero-sum game. In order to make America great again, many supporters seem to think only President Trump and his hardcore cabinet members can come up with hardline economic policies, sanctions, and regulations to tame the respective foes and rivals in Beijing. Political tensions between the U.S. and China continue to persist and even exacerbate in recent years. As a result, the bilateral relations between the U.S. and China seem to rest on flimsy foundations. Nowadays, geopolitical alignment often reshapes and reinforces asset market fragmentation in the wider context of financial deglobalization. Around the world, several western governments seek to incorporate new elements of global resilience into economic statecraft.

In China, President Xi Jinping and his cabinet members may not view the new Trump second term with fear and trepidation. These Chinese leaders, technocrats, and diplomats already learned much from the Trump first term, the Biden administration, and the populist return of Donald Trump to the White House in recent years. President Trump tends to apply economic protectionism across many industrial sectors and categories with fresh geopolitical tensions and frictions on the global stage. Early in his second term, President Trump declares retreats from the international Paris climate agreement, Comprehensive and Progressive Agreement for Trans-Pacific Partnership (CPTPP), and even the World Health Organization (WHO). In effect, these complete withdrawals highlight the fact that the new Trump administration tends to undertake unilateral measures in support of greater economic protectionism in America. Despite the growing trade tensions, disputes, and frictions between Beijing and Washington, the Xi administration still seeks to navigate new confrontations in global trade, finance, and technology. Also, the new Trump administration may impose new tariffs and other economic sanctions on Canada, Mexico, and some other western allies. This hardline approach would encourage many countries, such as France, Germany, Japan, and Australia, to hedge their foreign investment bets outside North America. Specifically, these countries may choose to build better ties with Beijing, partly through its Belt-and-Road Initiative, in response to greater economic policy uncertainty in Washington. Although the U.S. and China may inadvertently stumble into the proverbial Thucydides trap, we believe the best likelihood of military threats between these dual superpowers remains quite low. Over the past decade, President Trump has not shown any deep and extreme ideological inclinations. It does not seem likely for the current competition between the U.S. and China to further escalate into a more destructive New Cold War. Although President Trump sees more realism in the current balance of power between the U.S. and China, he strives to stop-and-prevent wars in the hot and lofty pursuit of world peace. In recent years, President Trump has reiterated his intentions to coordinate truces, ceasefires, and peaceful resolutions of the relentless Russia-Ukraine war in Eastern Europe, as well as the current conflicts between Israel and Iran, Lebanon, Hamas, and the Palestinians in the Middle East. The new Trump administration seeks to better contain China, its recent rise on the global stage of economic growth, and endless interference over Taiwan along the Pacific first island chain.

Beijing believes Trump’s presidential election victory has little or minimal influence over the near-term trajectory of U.S. foreign policies toward China. In U.S. Congress, the bipartisan consensus perceives China as a unique series of new economic, technological, military, and diplomatic threats to the U.S. and its western allies, regardless of who wins the presidential bid to enter the White House. To the extent that the U.S. seeks to further contain-and-derisk from China, Russia, Iran, and North Korea, geopolitical alignment reshapes and reinforces asset market fragmentation in the broader context of financial deglobalization. Through U.S. political history, not everything remains the same from one administration to another. During his second term, President Trump is likely to maintain the hardline approach to foreign affairs with China not only from his own first term, but also from the Biden administration. President Trump seems to have learned from his first term that the current hardline approach to China would need to refresh with new and much younger cabinet members, such as Secretary of State Marco Rubio and Secretary of Defense Peter Hegseth, both of whom serve as China hawks with strong anti-communist beliefs. The devil is in the details. President Trump needs more nuance in the new bilateral relations between the U.S. and China. This nuance directs President Trump’s nominations for foreign policy and national security positions away from right-wing extremists (who served in their rightful capacity in the first Trump administration). In support of calm and stable asset markets, President Trump picks new cabinet members as strategic partners who can help advise on a wide range of global economic, technological, military, and diplomatic themes and issues during the recent rise of China, Russia, Iran, and North Korea on the global stage. Many of the new cabinet members continue to view China as the primary threat to the U.S. with substantial economic and technological advancements. For this reason, these cabinet members tend to favor new hardline and coercive measures for the new Trump administration to constrain China’s sphere of influence. Unlike the former Soviet Union in the Cold War era, China retains virtually no or few global ambitions to expand its communist propaganda. Nonetheless, the Trump administration needs to remain careful and cautious toward China’s increasingly aggressive policy stances toward Taiwan, Japan, Hong Kong, South Korea, and other strategic partners in East Asia.

In the wider geopolitical context, the same hardline approach may not work well because so much has changed significantly since the first Trump administration. When President Trump entered the White House for the first time in early-2017, many governments thought Trump would serve like a conventional American leader, an ideologically neutral businessman, and an economically rational decision-maker. Indeed, many major western allies thought Trump would commit to their common prosperity and regional security worldwide. President Trump visited China, Vietnam, South Korea, and the Philippines in November 2017. Despite U.S. opposition to Russia’s annexation of Crimea from Ukraine back in 2014, the Kremlin invited President Trump to Moscow for Russia’s annual celebration of the victory in World War II in late-2017. Subsequently, President Trump met with Russian President Vladimir Putin in a summit in Helsinki, Finland, as part of a weeklong trip to Europe in July 2018.

This time may be a bit different. Many leaders and governments are now proactive to protect their own countries from substantial economic policy uncertainty in Washington as President Trump moves into his second term. French President Emmanuel Macron invited President Trump to visit Paris as Macron would like to indicate that Europeans are their own decision-makers with respect to their own common prosperity, security, and climate risk management. Also, Japan and Germany reiterate their current concern that President Trump may require bigger fractions of their respective fiscal budgets to guarantee American military protection in their countries. In South Korea, the interim government worries that President Trump may take advantage of its current lack of authority over domestic affairs to the detriment of many special interest groups. In Taiwan, the extant government further fears that President Trump may tap into more than 5% of its annual economic output in return for U.S. military presence in response to China’s constant aggression.

In Eastern Europe, President Trump needs to grapple with the fact that Russia continues to attack Ukraine even though the U.S. and its western allies provide military support to Kiev. In the Middle East, Washington continues to provide military aid and geopolitical support for Israel’s brutal and bloody operations in Gaza, where many mainstream pundits believe there is an ongoing humanitarian crisis. Specifically, this crisis has further exposed the hypocrisy of U.S. claims to champion international law, world peace, and human rights. In his second term, President Trump has to better coordinate truces, ceasefires, and peaceful resolutions of these regional wars and conflicts in the lofty pursuit of world peace. Indeed, these peaceful resolutions can be a good legacy for President Trump to leave behind in his second term.

President Donald Trump blames China for the long prevalent U.S. trade deficits and several other social and economic deficiencies. - Blog - AYA fintech network platform provides proprietary alpha stock signals and personal finance tools for stock market investors.

President Donald Trump blames China for the long prevalent U.S. trade deficits and several other soc...

https://ayafintech.network/blog/president-trump-blames-china-for-the-long-prevalent-us-trade-deficits-and-other-social-and-economic-woes/

Monica McNeil

2025-03-19 02:05:07

Bullish

Quantitative fundamental analysis

Our latest podcast deep-dives into the AI-driven technological advances for new medications, treatments, therapies, and healthcare services worldwide. With AlphaFold, specifically, biomedical scientists accelerate the major identification of new compounds for better clinical trials. Today, the global pharmaceutical sector benefits substantially from Generative AI (Gen AI) with more than $100 billion AI-driven worldwide sales for new medications.


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The original blog article is available on our AYA fintech network platform. https://ayafintech.network/blog/the-new-integration-of-artificial-intelligence-reshapes-the-competitive-landscape-for-the-global-market-for-better-medical-innovations-and-healthcare-services/

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

As medical doctors, surgeons, and physicians now integrate artificial intelligence (AI) into the mainstream technological advancements in better biotech, healthcare, and medicine, this integration helps reshape the competitive landscape worldwide. We can identify several mega trends for AI-driven better biotech advances, health-care services, and medical innovations. First, some recent AI-driven technological advancements help enhance diagnostic accuracy, improve patient health results, and personalize treatment plans. For instance, deep machine-learning algorithms help develop custom cancer therapies, target medications, and pharmacogenomic treatments in accordance with individual genetic and biochemical profiles. Second, the global pharmaceutical sector benefits substantially from Generative AI (Gen AI) with more than $100 billion AI-driven worldwide sales for new medications. These new medications help cure heart diseases, peripheral arterial diseases, diabetes, sleep apnea and other sleep disorders, some sorts of cancers, chronic kidney and liver diseases, non-alcoholic steato-hepatitis, knee osteoarthritis, and so forth. This broader macro shift highlights the increasingly vital dependence on Gen AI for drug discovery. With AlphaFold, biomedical scientists accelerate the major identification of new compounds for optimal clinical trials. Third, AI helps develop fresh personal treatment plans in response to the unique needs of individual patients with higher efficacy and tolerance. This development often helps better manage rare diseases, complex conditions, side-effects, and even contraindications. AI can analyze large amounts of data to recommend better target therapies. Fourth, AI technology helps integrate new diagnostic machines and devices, surgical robots, medications, and other medical innovations into the broader patient care system. These AI advances often support substantial improvements in the quality of life for the average patient. Further, new AI predictive analytics help identify potential health issues, symptoms, diseases, disorders, and complications. In effect, these new AI predictive analytics allow for proactive biomedical interventions in time. Finally, AI technology can help alleviate increasingly severe global healthcare challenges such as longer longevity, obesity, and urbanization. These new broader demographic shifts seem to present additional opportunities and challenges for many mainstream AI-driven healthcare systems worldwide.

We delve into the 4 major fundamental forms of AI integration in the global market for better biotech advances, medical innovations, and healthcare services. Doctors leverage AI-driven diagnostic devices, machines, and instruments to better inform medical decisions. This leverage is quite important today because almost 800,000 Americans suffer from bad medical decisions each year. Also, many patients seek sound professional medical assistance with their symptoms, side-effects, diseases, disorders, complications, and other health issues etc. Further, AI-driven smart data analytics help accelerate scientific research endeavors in support of smarter, faster, and better medical treatments. Moreover, new AI data analytics help promote more fierce competition in each of the major medical fields, domains, and specialties. In time, the resultant pervasive rise in global market competition likely leads to more cost-effective medications, treatments, and therapies etc. New AI technology helps hospitals, clinics, and health care centers modernize the diagnostic devices, robots, instruments, and even perhaps central command dashboards for the more efficient allocation of both public and private health care resources. Specifically, some new surveys estimate a common shortage of 10 million healthcare workers by 2030, or almost 15% of total healthcare workers worldwide today. Many governments seek to apply AI technological advances more broadly to help bridge the key shortfall of healthcare workers 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.

In the current global market for better biotech advances, medical innovations, and healthcare services, the new integration of artificial intelligence (AI) reshapes the competitive landscape worldwide. - Blog - AYA fintech network platform provides proprietary alpha stock signals and personal finance tools for stock market investors.

AI-driven advances help reshape the competitive landscape for new medications, treatments, therapies...

https://ayafintech.network/blog/the-new-integration-of-artificial-intelligence-reshapes-the-competitive-landscape-for-the-global-market-for-better-medical-innovations-and-healthcare-services/

Chanel Holden

2025-03-15 04:30:55

Bullish

Quantitative fundamental analysis

Our latest podcast deep-dives into the global market for GLP-1 anti-obesity weight-loss treatments. These new medications continue to grow substantially to benefit more than 1 billion people worldwide by 2030.


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$WMT $TGT $COST $CVS $CSCO $ORCL $IBM $ASML $SNPS $NET $CRWD $PARA $NFLX $DIS $V 

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The original blog article is available on our AYA fintech network platform. https://ayafintech.network/blog/the-global-market-for-GLP-1-weight-loss-medications-grows-substantially-to-benefit-1-billion-people-worldwide-by-2030/

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.

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/

Becky Berkman

2025-03-12 03:07:35

Bullish

Qualitative fundamental analysis

Our latest podcast deep-dives into the recent empirical results in relation to R&D innovative investment management. Specifically, we would to like to draw attention to the robust positive empirical nexus between R&D investment intensity and subsequent stock return performance.


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$COST $CVS $CSCO $ORCL $IBM $ASML $SNPS $NET $CRWD $AEO $AMC $PARA $NFLX $DIS 

$T $VZ $TMUS $C $BAC $JPM $WFC $MS $GS $PNC $BLK $STT $DOCU $IONQ $QBTS $QUBT 



The original blog article is available on our AYA fintech network platform. https://ayafintech.network/blog/innovative-investment-theory-and-practice/

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

Corporate investment can be in the form of real tangible investment or intangible investment. The former concerns real asset expansion through capital expenditures and mergers and acquisitions while the latter involves corporate innovation through research and development (R&D). This literature review focuses on the empirical corporate finance studies on the key implications of R&D intensity for firm performance. The other empirical corporate finance studies on capital expenditures, mergers and acquisitions, and real asset growth flow into the other separate literature reviews. These literature reviews jointly paint a more holistic picture of the empirical facts about corporate investment decisions.

Eberhart, Maxwell, and Siddique (2004) examine a sample of 8,313 cases between 1951 and 2001 where firms unexpectedly increase their R&D expenditures by a significant margin. Both the long-run buy-and-hold portfolio strategies and Fama-French-Carhart (1993, 1996, 1997) time-series regressions show that significantly positive abnormal stock returns follow these R&D increases. Also, there is robust evidence that the same sample firms experience significant improvements in long-run operating performance after the R&D increases. These empirical results reject the null efficient-markets hypothesis and thus suggest that the market is slow to recognize both the nature and extent of R&D increases as valuable investments.

Eberhart, Maxwell, and Siddique (2004) contribute to the behavioral finance literature on investor under-reaction that occurs in response to key corporate events such as SEOs, stock repurchases, and stock splits (e.g. Eberhart and Siddique (2002), Ikenberry, Lakonishok, and Vermaelen (1995, 2000), Ikenberry and Ramnath (2002), and Loughran and Ritter (1995)). This contribution echoes Daniel and Titman’s (2006) thesis that investors tend to underreact to intangible information but not to tangible information. In this sense, R&D increases provide a natural experiment to test the market’s capability to correctly incorporate the intangible content of R&D increases. To the extent that investors underreact to the intangible benefit of R&D increases, significantly positive abnormal stock returns follow these R&D increases up to the 5-year time horizon. In the larger context of a unified theory of gradual news diffusion (e.g. Jegadeesh and Titman (1993, 2001), Hong and Stein (1999), and Hong, Lim, and Stein (2000)), Eberhart, Maxwell, and Siddique’s (2004) study corroborates the behavioral story of investor underreaction to the positive effect of R&D investments on shareholder value.

Although shareholders and bondholders both benefit from an increase in firm value due to an increase in R&D investment, shareholders benefit at the expense of bondholders from a concomitant increase in firm risk because stocks are analogous to call options that bondholders implicitly sell on the underlying firm value. The benefit of an increase in R&D investment to shareholders that some earlier studies report may reveal the effect of a wealth transfer from bondholders to shareholders (Shi, 2003), not any benefit to the entire firm value. Eberhart, Maxwell, and Siddique (2008) gauge R&D investment intensity as the ratio of R&D to sales or R&D to assets and report a positive relationship between these R&D intensity metrics and bond returns. The net effect of higher R&D investment intensity is positive for bondholder value. In fact, the negative nexus between R&D intensity and default risk accords with the recent investment asset pricing conjecture (Berk, Green, and Naik, 1999; Gomes, Kogan, and Zhang, 2003; Carlson, Fisher, and Giammarino, 2004; Zhang, 2005; Cooper, 2006; Li, Livdan, and Zhang, 2009; Liu, Whited, and Zhang, 2009; Anderson and Garcia-Feijoo, 2006). As a firm invests and exercises real growth options via R&D innovation, this investment transforms the real growth options into safer assets in place with steady cash flows. As a result, the firm’s relative risk declines. Nonetheless, Eberhart, Maxwell, and Siddique’s (2008) evidence suggests a positive relation between R&D investment expansion and subsequent stock return. This evidence seems more consistent with the alternative behavioral mispricing hypothesis in contrast to the rational pricing theory.

R&D usually provides strong positive externalities because R&D investment yields benefits that accrue to parties other than the R&D investor (Bernstein and Nadiri, 1988; Jaffe, 1986). Given the positive spill-over effects of R&D investment, Chen, Chen, Liang, and Wang (2014) empirically report that there is a positive relationship between R&D incoming spillovers and firm performance improvements. This nexus indicates that the market does not immediately incorporate positive R&D externalities into stock market valuation. Chen, Chen, Liang, and Wang (2014) attribute this evidence to the behavioral story that many investors underreact to firm-specific increases in R&D investment with both positive long-term abnormal stock returns and operating performance improvements (Eberhart, Maxwell, and Siddique, 2004, 2008).

Chen, Chen, Liang, and Wang (2014) use a stochastic frontier production function to capture R&D spill-overs, which can be estimated as non-negative stochastic random covariates. Firms with high R&D spill-overs tend to recruit more key employees from other firms. Thus, firms that hire more key personnel to take advantage of technical expertise from other firms enjoy higher R&D incoming spillovers.

Chen, Chen, Liang, and Wang (2014) run the Fama-French (1993, 1996) and Carhart (1997) time-series regressions of excess stock returns that the econometrician sorts on R&D incoming spillovers. The mean monthly alpha is 0.67%-1.08% for firms with higher R&D incoming spillovers in comparison to no more than 0.58% for firms with lower R&D incoming spillovers. Thereby, R&D investments are beneficial to other firms, but the market is slow to recognize the full extent of this benefit.

Following the convention of Denis and Sarin (2001), Chan, Ikenberry, and Lee (2004), and Titman, Wei, and Xie (2004), Chen, Chen, Liang, and Wang (2014) examine abnormal stock returns around earnings announcements over the post-R&D-increase 5-year period. The evidence suggests significantly positive earnings-announcement abnormal returns for firms with high incoming spillovers, but this evidence does not hold for firms with low incoming spillovers. Thereby, the long-term stock return outperformance of R&D-intensive firms with high incoming spillovers is unlikely to be driven by benchmark measurement noise (Lyon, Barber, and Tsai, 1999).

Brown, Fazzari, and Petersen (2009) explore whether supply shifts in finance can explain a significant portion of the 1990s R&D boom and subsequent decline. With a firm-level panel dataset of 1,347 high-tech publicly traded firms from 1990 to 2004, Brown, Fazzari, and Petersen (2009) use GMM estimation of dynamic R&D models to find sharp differences in R&D finance when Brown et al split the data into young and mature firms. For mature firms, the point estimates for the financial variables are insignificant. For young firms, the measures of access to internal and external equity finance have significantly positive effects on R&D intensity. The financial effects for the young high-tech firms alone are large enough to explain most of the aggregate R&D cycle in the 1990s. In the larger context of endogenous growth theory, stock markets provide an important source of external finance and in turn contribute to economic growth by directly funding R&D innovation, particularly for young firms.

Brown, Martinsson, and Petersen (2013) analyze the explanatory power of investor protection and access to stock market finance in capturing the variation in long-term R&D intensity. Legal rules and institutions and financial developments affect the availability of external equity finance. This empirical mechanism is particularly important for risky and intangible R&D investments that are not easily financed with debt. Brown, Martinsson, and Petersen’s (2013) empirical study connects both law and finance with firm-level innovative R&D investments that help promote economic growth.

An extensive literature suggests that countries with robust legal protection of minority shareholders have larger and more accessible stock markets (La Porta, Lopez-de-Silanes, and Shleifer, 2006, 2008). Several studies report evidence of a positive relationship between stock market development and broad measures of economic growth (e.g. Levine and Zervos (1998) and Bekaert, Harvey, and Lundblad (2005)). Legal contracting institutions help enhance stock market development (Acemoglu and Johnson, 2005), and also stock market liberalization boosts aggregate productivity (Bekaert, Harvey, and Lundblad, 2011). Access to stock market finance is particularly important for R&D investments because the intangible nature of R&D with little collateral value sharply limits the firm’s ability to use debt. Since creditors share only in downside returns, the design of standard debt contracts does not work well for financing innovative R&D investments that are characterized by a high probability of failure but only some thin chance of extremely large upside returns. Thereby, legal institutions and financial developments that better facilitate access to stock market equity are more important for R&D innovative productivity growth than for tangible capital accumulation.

Brown, Martinsson, and Petersen (2013) use several exogenous instruments for legal origin, enforcement, and anti-self-dealing protection in two-stage least squares (2SLS) regressions of R&D intensity and stock market development (Demirguc-Kunt and Maksimovic, 2002; Beck and Levine, 2005; La Porta, Lopez-de-Silanes, and Shleifer, 1997, 2008). The key interaction term between stock market development and industry dependence on external finance carries a significantly positive coefficient in the small-firm and young-firm subsamples. The R&D differential measure for the interquartile range of industry dependence on external finance is significant at 2% in these subsamples.

Brown, Martinsson, and Petersen’s (2013) evidence suggests that there is a micro-level channel through which stock market development causes economic growth by supplying critical external finance to fund intangible R&D investments (which in turn help spur productivity growth) (e.g. Levine (2005: 870) and Bekaert, Harvey, and Lundblad (2011)). Further, the same evidence suggests a new nexus between legal contracting institutions and innovative R&D activities (the latter of which in turn drive economic growth) (e.g. Acemoglu and Johnson (2005)). This nexus is particularly important when R&D firms are likely to face considerable difficulty in substituting debt for equity. In addition, the interaction between financial development and access to stock market finance matters more for the R&D investment intensity among small and young firms in comparison to large and mature firms (e.g. Beck et al (2008)). In essence, the market-centric system may have a significant advantage in spurring economic growth through a sequence of creative destruction that emerges from the continual innovative R&D investments of small and young firms (e.g. Brown and Petersen (2011)).

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.

Innovative investment theory and practice - Blog - AYA fintech network platform provides proprietary alpha stock signals and personal finance tools for stock market investors.

Innovative investment theory and practice

https://ayafintech.network/blog/innovative-investment-theory-and-practice/

James Campbell

2025-03-05 10:14:17

Bearish

Hybrid analysis

Our latest podcast deep-dives into the recent empirical results in relation to corporate payout management (specifically, cash dividends and share repurchases).


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The original blog article is available on our AYA fintech network platform. https://ayafintech.network/blog/corporate-payout-management/

This fun podcast is about 10 minutes long (with smart AI podcast generation from Google NotebookLM). https://bit.ly/3PZJQ9a

This corporate payout literature review rests on the recent survey article by Farre-Mensa, Michaely, and Schmalz (2014). Out of the conventional motives of why the typical firm makes cash payout in the form of both dividends and repurchases (cf. the agency, signaling, and tax stories), the cross-sectional evidence is most persuasive in favor of agency considerations. Some recent studies of the May 2003 dividend tax cut sconfirm that differences in the separate taxation of dividends and capital gains have at best a second-order impact on setting corporate cash payout. None of the conventional payout explanations can account for the secular changes in how corporate payout materializes over the past few decades. During this time, share repurchases have replaced dividends as the primary vehicle for corporate payout (Fama and French, 2001; DeAngelo, DeAngelo, and Skinner, 2004; Skinner, 2008). More recent theoretical and empirical developments of corporate payout literature focus on cash distributions of regular and smooth dividends and market-timing repurchases as an integral part of the firm’s larger financial ecosystem with important implications for corporate investment, capital structure, cash management, risk management, managerial rent protection, and corporate ownership and governance (e.g. Lambrecht and Myers (2012, 2015)).

Farre-Mensa, Michaely, and Schmalz (2014) summarize several primary empirical facts about corporate cash distributions. Corporate cash distributions entail substantial dollar amounts that reflect large wealth transfers in the economy. For instance, U.S. public firms pay $800+ billion in dividends and repurchases. For better exposition, the bullet points below sum up these empirical facts:

Share repurchases have increased substantially to dominate dividends as the major form of corporate payout since 2004. Now more firms repurchase shares than pay cash dividends, and firms distribute more cash to their shareholders via stock buyback than dividend payout (DeAngelo, DeAngelo, and Skinner, 2004; Skinner, 2008).

The number of public firms that pay cash dividends has substantially decreased from the mid-1980s to the early-2000s, and this trend has reversed with the reappearance of dividends in the past decade because public firms need to pay out conventional cash dividends to assure outside investors when these firms mature over their financial lifecycle (Fama and French, 2001; DeAngelo, DeAngelo, and Skinner, 2004; Julio and Ikenberry, 2004). Large and profitable firms pay more dividends than risky firms that face more growth opportunities (Fama and French, 2001; DeAngelo, DeAngelo, and Skinner, 2004; Skinner, 2008). Share repurchases are more widespread across firms than dividends while a relatively small number of firms pay out most aggregate dividends. Specifically, the top 25 firms pay out well more than half of aggregate dividends. This dividend concentration is an empirical observation that cannot be easily explained by a lower propensity for the typical firm to pay cash dividends or a structural shift in the composition of new lists (Fama and French, 2001; DeAngelo, DeAngelo, and Skinner, 2004).

A robust pattern that has persisted over the last century is that corporations reveal a firm commitment to maintaining the level of dividend payout. Regular cash dividends are sticky and smooth over time, particularly among large and profitable firms (Lintner, 1956; Skinner, 2008; Michaely and Roberts, 2011; Leary and Roberts, 2011). In contrast, share repurchases are heavily pro-cyclical and tend to exhibit much more variability throughout the business cycle (Grullon and Michaely, 2002, 2004).

The typical firm’s stock buyback decision does not exclusively reflect a desire to pay out excess cash to shareholders. Rather, the desire to undo the EPS dilution that arises from stock option exercises or direct equity grants to employees, executive managers, and directors appears to play a first-order role in the share repurchase decision (Bens, Nagar, Skinner, and Wong, 2003).

The stock market reacts positively to increases in both dividend payout and share buyback. Also, the stock market responds negatively to decreases in both dividend payout and share buyback. Moreover, the stock market reaction to dividend increases and decreases is asymmetric: the average abnormal returns in response to dividend increases and decreases are 1.34% and –3.71% respectively (Grullon, Michaely, and Swaminathan, 2002). There is some evidence in support of a high propensity for the typical firm to cater to relative stock market misvaluation that reveals either a dividend premium or a dividend discount. In the former case of a dividend premium, the median firm is inclined to initiate dividend payout. In the latter case of a dividend discount, however, the median firm appears to omit dividend payout. This behavioral catering theory predicts binary dividend initiation or omission but not the magnitude of dividend payout (Baker and Wurgler, 2004, 2012).

The evidence supports the agency prediction that most firms use corporate payout to reduce potential overinvestment by corporate incumbents (Ikenberry, Lakonishok, and Vermaelen, 1995; Nohel and Tarhan, 1998). Firms increase their cash distributions when these firms mature over time (DeAngelo, DeAngelo, and Skinner, 2004; Julio and Ikenberry, 2004). The stock market reacts positively to high dividend payout and share buyback that these mature and profitable firms initiate with their abundant free cash flows (Grullon and Michaely, 2004; Baker and Wurgler, 2004, 2012).

Fama and French (2001) empirically find that the fraction of public firms that pay out cash dividends has decreased substantially from 66.5% in 1978 to 20.8% in 1999. Part of this decline is due to a structural shift in the population of public firms toward small firms with low profitability and robust asset growth. This structural shift arises from an explosion of new lists from 3,638 in 1978 to 5,670 in 1997. The low profitability of these new lists explains at least part of the decline in the fraction of public dividend payers.

Furthermore, Fama and French (2001) run logit regressions to gauge the propensity for the typical firm to pay out cash dividends. After the econometrician controls for a unique set of firm characteristics such as profitability, asset growth, market-to-book, and size, the typical firm’s much lower propensity to pay out dividends explains half of the drastic decline in the fraction of public dividend payers. Specifically, the typical firm’s propensity to pay cash dividends declines by about 25% while the actual decline in the fraction of public dividend payers is nearly 50%. In essence, this lower propensity to pay out dividends is as important as the structural shift in firm composition in explaining the decrease in the proportion of public dividend payers.

Grullon and Michaely (2002) and DeAngelo, DeAngelo, and Skinner (2004) empirically report that the decline in the number of public dividend payers suggests an increase in the overall dividend concentration with a 22.7% increase in the real dollar amount of dividend payout by industrial firms from 1978 to 2000. Also, Grullon and Michaely (2002) propose the substitution hypothesis that many public firms nowadays successfully substitute cash dividends with share repurchases as the dominant form of corporate payout. DeAngelo, DeAngelo, and Skinner (2004) wisely observe that the large reduction in the number of public dividend payers occurs almost entirely among firms that pay relatively small dividends while there is a simultaneous substantial increase in cash dividend payout by the largest dividend payers. As a result, the increase in real dividend payout by large and more profitable firms at the top of the dividend distribution swamps by a broad margin the reduction in real dividend payout by small and unprofitable firms at the bottom of the dividend distribution. During the same time period, the aggregate increase in net income significantly outpaces the increase in real dividend payout and thus results in a systemic decline in both the dividend payout ratio and the dividend yield (Grullon and Michaely, 2002).

DeAngelo, DeAngelo, and Skinner (2004) find that NYSE firms pay the majority of industrial dividends. This empirical fact suggests the tendency for older and more stable firms that pay regular dividends to list their shares on NYSE. In contrast, young and risky firms that are less likely to pay regular dividends list their shares on AMEX and NASDAQ. Dividend concentration can arise from the recent concentration of corporate income supply (Linter, 1956; DeAngelo, DeAngelo, and Skinner, 2004). The top 25 dividend payers distribute more than 55% of the aggregate cash dividends. It is noteworthy that 14 of these top 25 dividend-payers are large, stable, and mature Dow Jones industrial firms. However, the vast majority of dividend non-payers are high-tech growth firms with high future income potential. In essence, DeAgnelo, DeAngelo, and Skinner’s (2004) empirical results help demystify the puzzle of *dividend disappearance* from Fama and French’s (2001) landmark study.

Skinner (2008) empirically finds that changes in the corporate income cross-section help explain changes in both dividend payout and share buyback from 1980 to 2005. Moreover, share repurchases increasingly substitute for dividends (both for dividend payers and sole share repurchasers). A special group of firms comprises profitable firms that pay both smooth annual dividends and regular repurchases. These firms dominate the distribution of both corporate net income and dividend payout, with well over half of these aggregates in the recent years. These firms commit to their regular dividend distributions mainly due to an implicit obligation to continue this dividend smoothing practice (Brav, Graham, Harvey, and Michaely, 2005). While these profitable firms use both cash payout mechanisms, these firms increasingly substitute share repurchases for dividends. Over the biennial window, corporate income helps explain the variation in the level of stock buyback, and corporate managers time repurchases over this period (Brav, Graham, Harvey, and Michaely, 2005; Peyer and Vermaelen, 2009). Share repurchases are flexible enough to boost earnings per share (EPS) (Bens, Nagar, Skinner, and Wong, 2003) or to distribute cash for the avoidance of potential agency conflicts (Jensen, 1986; Harford, Humphery-Jenner, and Powell, 2012).

Over the period from 1980 to 2005, firms that only pay dividends have declined from 13% to 7% of the number of firms and from 8% to 2% of all dividend and repurchase distributions. This evidence further supports the secular trend that repurchases substitute for dividends. Overall, Skinner’s (2008) empirical results accord with the substitution hypothesis that share repurchases have become the dominant form of corporate payout in comparison to cash dividends. The use of share repurchases as the dominant payout mechanism at least partly helps demystify the EPS dilution puzzle.

Biennial Lintner (1956) regressions of changes in dividend or total payout on both corporate income and past dividend or total payout suggest a structural shift in the empirical relation between corporate income and cash payout. Over the subperiods 1980-1994 to 1995-2005, the dividend mean-reversion is slow and steady at a rate less than –25% while the total payout mean-reversion has significantly increased in speed from –31% to –71%. While the typical firm pays a cash dividend of 9 cents per dollar of corporate income in 1980-1994 and a cash dividend of 17 cents per dollar of corporate income in 1995-2005 (p-value>0.27), the typical firm’s total payout increases from 26 cents per dollar of corporate income in 1980-1994 to 56 cents per dollar of corporate income in 1995-2005 (p-value<0.01). In this light, Skinner (2008) attributes this significant difference to the discretionary use of share repurchases. Total payout more closely tracks corporate income over time since the typical firm increasingly uses stock buyback to absorb the variation in corporate income. In sum, dividend payments increase smoothly over time and are largely independent of the variation in corporate income while share repurchases increasingly absorb this variation.

Bliss, Cheng, and Denis (2015) report significant reductions in both dividend payout and share buyback during the 2008-2009 financial crisis. Repurchase reductions prevail to a larger extent than dividend cuts. Payout reductions are more likely in firms with higher leverage, more valuable growth options, and lower cash balances (i.e. these firms are more susceptible to the negative consequences of an external financing shock). Firms appear to use the proceeds from payout reductions to maintain cash reservoirs for financing future firm investment opportunities. In this light, an external shock to the supply of credit (net of demand effects) during the financial crisis increases the marginal benefit of cash retention. Payout reductions in general, and repurchase reductions in particular, serve as a substitute form of corporate finance.

During the 2008-2009 financial crisis, the percentage of firms that either reduce or eliminate dividends increases from 6% in 2006 to 25% in 2009 while the percentage of firms that curb repurchases increases from 52% in 2006 to 89% in 2009. In contrast to cash dividends, share repurchases can be viewed as a flexible form of corporate payout. Bliss, Cheng, and Denis’s (2015) logit regressions of the indicator for payout reductions as well as panel regressions of payout reductions shed light on the evidence of payout reductions as a substitute form of corporate finance. This result echoes some recent studies of corporate cash and payout decisions (Brav, Graham, Harvey, and Michaely, 2005; Campello, Graham, and Harvey, 2010; Leary and Michaely, 2011; Almeida, Campello, and Weisbach, 2004; Faulkender and Wang, 2006; Bates, Kahle, and Stulz, 2009; Harford, Mansi, and Maxwell, 2014; La Porta, Lopez-de-Silanes, Shleifer, and Vishny, 2000; Dittmar and Mahrt-Smitth, 2007; Harford, Mansi, and Maxwell, 2008):

To the extent that corporate incumbents have a high propensity to smooth regular dividend payments, Brav, Graham, Harvey, and Michaely (2005) document survey evidence that CFOs would rather cut investment than cut dividend payout when their firms face severe financial constraints. Further, these CFOs view the financial flexibility of share buyback as one of its primary attributes. This flexibility distinguishes share buyback from dividend payout, the latter of which induces the firm to commit to the same or even higher dividend payout in the future.

According to Campello, Graham, and Harvey’s (2010) survey evidence, CFOs note that firms often bypass attractive and valuable investment opportunities due to borrowing constraints during a major financial crisis. Leary and Michaely (2011) observe that unlike the case for cash dividends, corporate managers do not appear to make any attempt to smooth share repurchases through time. Bliss, Cheng, and Denis’s (2015) empirical results fit well with this general observation because the financial flexibility that arises from payout reductions during the financial crisis originates primarily from reductions in share repurchases. In comparison, dividend cuts are one of the more costly sources of financial flexibility.

Under the precautionary motive for holding cash, firms build up cash stockpiles as a valuable buffer against exogenous shocks to corporate cash flows or investment opportunities. Hence, firms tend to hold greater cash balances when these firms face more costly external finance, when corporate cash flows are more volatile, and when firm investment opportunities are more valuable. Several recent studies suggest that cash balances positively correlate with cash flow volatility, market-to-book, and multiple measures of constrained access to external capital (Opler, Pinkowitz, Stulz, and Williamson, 1999). Over the past few decades, the dramatic increase in corporate cash retention is attributable to a sharp increase in cash flow volatility (Bates, Kahle, and Stulz, 2009). Also, firms exhibit a greater propensity to save cash from their cash flows when these firms face higher costs of external finance (Almeida, Campello, and Weisbach, 2004). Moreover, the marginal value of cash is greater in firms with limited access to external capital markets than in firms that face less severe financial constraints (Faulkender and Wang, 2006). All this evidence bolsters the precautionary motive story for corporate cash retention.

Corporate managers have some perverse incentives to retain excessive free cash flows because this excess enables incumbents to divert corporate resources for greater private benefits of control to the detriment of outside investors (Jensen, 1986; Stulz, 1990; La Porta, Lopez-de-Silanes, Shleifer, and Vishny, 2000). In accordance with this agency story of free cash flows, Harford, Mansi, and Maxwell (2008) empirically find that firms with weak corporate governance spend excess cash on acquisitions and capital expenditures more quickly than do firms with better corporate governance. Furthermore, Dittmar and Mahrt-Smith (2007) find that every one dollar of cash in poorly governed firms is worth only 42-88 cents while good governance doubles this cash value. Firms with poor governance tend to dissipate cash quickly in several ways that significantly hurt operating performance. This negative impact of excessive cash reserves on future operating performance can be cancelled out if the typical firm improves its governance practices.

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.

Corporate payout management - Blog - AYA fintech network platform provides proprietary alpha stock signals and personal finance tools for stock market investors.

Corporate payout management

https://ayafintech.network/blog/corporate-payout-management/

Charlene Vos

2025-03-01 02:36:37

Bearish

Qualitative technical analysis

Our latest podcast deep-dives into the recent empirical results in relation to stock ownership dispersion and corporate governance worldwide.

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The original blog article is available on our AYA fintech network platform. https://ayafintech.network/blog/corporate-ownership-governance-theory-and-practice/

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

The genesis of modern corporate governance and ownership studies traces back to the seminal work of Berle and Means (1932). The Berle-Means theory serves as the canonical qualitative foundation for the separation of corporate ownership and control. According to this thesis, corporate control over physical assets reacts to a centripetal force and tends to concentrate in the hands of only a few incumbents, whereas, corporate ownership is centrifugal, splits into small units, and passes from person to person. In the Berle-Means image of the modern corporation, executives and directors gain their income primarily from the effort that these incumbents put into business decisions, but not from the return on their stock investment in the enterprise. To the extent that corporate structures evolve in response to competitive pressures in the capital markets, the Berle-Means thesis predicts gradual convergence toward diffuse incumbent stock ownership as the most efficient form.

The Berle-Means theory has influenced the subsequent development of agency theory that highlights a potential conflict of interest between corporate incumbents and shareholders (Jensen and Meckling, 1986; Fama and Jensen, 1983). Subsequent studies question the empirical prevalence of the Berle-Means image of the modern corporation (e.g. Demsetz (1983), Demsetz and Lehn (1985), Shleifer and Vishny (1986), Morck, Shleifer, and Vishny (1988), and Holderness and Sheehan (1988)). The recent strand of law-and-finance literature suggests that the Berle-Means widely held corporation should prevail primarily in rich common-law countries with sound legal protection of minority shareholder rights (La Porta, Lopez-de-Silanes, Shleifer, and Vishny, 1997, 1998). Whether Berle-Means functional convergence toward greater stock ownership dispersion takes place in practice remains an empirical puzzle.

La Porta, Lopez-de-Silanes, and Shleifer (1999) offer an empirical refutation of the Berle-Means thesis. La Porta et al analyze data on ownership structures of large corporations in 27 rich economies to identify the ultimate controlling shareholders of these firms via pyramidal chains and cross-ownership structures. The main evidence suggests that except in economies with robust legal protection of investor rights, few of these firms are widely held with diffuse stock ownership in the Berle-Means sense. Alternatively, these firms are typically family firms or state enterprises. Equity control by financial institutions prevails only in some bank-centric financial systems such as Japan and Germany. The controlling shareholders tend to have power over firms in excess of their cash flow rights primarily through direct managerial influence and the use of pyramidal chains and cross-ownership structures. As a result, the main implication of this empirical work is that the theory of corporate finance for most countries should focus on the incentives of controlling shareholders to both benefit and expropriate minority shareholders.

Claessens, Djankov, and Lang (2000) examine the separation of ownership and control for 2,980 corpora-tions in East Asian countries. In all these countries, voting rights frequently exceed cash-flow rights via pyramidal chains and cross-ownership structures. This separation of ownership and control is most pro-nounced among family firms and small firms. A single shareholder retains the ultimate corporate control in more than 66% of these East Asian corporations. Nevertheless, the concentration of corporate control generally dwindles with the level of a country’s economic development.

Political connections matter a great deal to Chinese CEOs in several major corporate decisions, whereas, these connections have a negative effect on corporate performance in terms of post-IPO earnings growth, sales growth, or profit margin (Fan, Wong, and Zhang, 2007). In East Asia, some large corporations often find it necessary to bribe senior bureaucrats to derive state protection in the form of exclusive trade rights, commercial privileges, and preferential state-enterprise contracts (Claessens, Djankov, and Lang, 2000). From a corporate governance standpoint, the concentration of voting rights is crucial as this concentration allows owners to determine capital investment, M&A, R&D innovation, dividend or repurchase payout, capital structure, managerial personnel, and so forth. To the extent that voting rights often exceed cash-flow rights in many East Asian conglomerates, this control-ownership wedge exacerbates the potential conflict of interest between inside blockholders and minority shareholders. For instance, the Li Ka-Shing conglomerate, which is the largest business group in Hong Kong, comprises 25 companies that are among the largest in Hong Kong in terms of market capitalization. The Li Ka-Shing family holds and controls 35% stock ownership of Cheung Kong Hutchison Group, whose pyramidal chains result in 34% voting control and 2.5% cash-flow ownership of Hong Kong Electric (Claessens, Djankov, and Lang, 2000: 97). This example suggests that a large family conglomerate retains effective control of a subsidiary company with relatively small stock ownership of cash flow rights in this subsidiary company. Both the prevalence and dominance of family firms suggest that significant corporate wealth tends to concentrate in the hands of a few hereditary elites from generation to generation (Piketty, 2014).

Corporate insiders who control firm-specific assets can potentially expropriate outside minority investors by diverting resources for their personal use or by committing funds to unprofitable investment projects that provide private benefits of control to these insiders. This diversion grants incumbents the opportunity to increase their current wealth or perquisite consumption without bearing the full cost of their actions (Shleifer and Vishny, 1997). While some earlier evidence suggests a concave quadratic relation between incumbent stock ownership and firm value (McConnell and Servaes, 1990; Morck, Shleifer, and Vishny, 1988; Holderness, Kroszner, and Sheehan, 1999), some recent studies point to the potential endogeneity issue that all of corporate ownership, investment availability, and firm valuation are jointly determined (Demsetz and Lehn, 1985; Cho, 1998; Himmelberg, Hubbard, and Palia, 1999; Core and Larcker, 2002). Controlling for this endogeneity may yield an unclear nexus between insider ownership and firm value.

Lemmon and Lins (2003) assess whether different corporate ownership structures can explain differences in firm performance during the East Asian financial crisis from July 1997 to August 1998. The crisis can serve as an exogenous shock that helps ameliorate the endogeneity issue around the relationship between corporate ownership and firm valuation. The main hypothesis is that during the crisis firm value should decline the most in firms where incumbents use ownership structures that permit these corporate insiders to effectively control the firm through high control-ownership leverage. With corporate ownership data for 800 East Asian firms, Lemmon and Lins (2003) find substantive stock return evidence in support of this hypothesis. In many East Asian firms, incumbents are able to effectively control the firm even though these corporate insiders hold relatively low cash flow ownership (i.e. the control-ownership leverage is about 2.17 times on average). During the crisis, the average cumulative stock return for firms in the high control-ownership leverage group is –56.2% in comparison to –46.5% for firms in the low leverage group. Ceteris paribus, the 9.7% difference is statistically significant at any conventional confidence level. Thus, firms with high control-ownership leverage exhibit significantly worse stock return performance during the crisis in comparison to firms with low leverage. The ability to control the firm’s assets is a necessary antecedent for the expropriation of minority shareholders.

Lemmon and Lins’s (2003) evidence resonates with a recent line of corporate ownership and governance literature that the widespread use of pyramidal chains and cross-ownership structures in East Asia allows corporate insiders to exercise effective control over the firm although these insiders hold relatively few of its cash flow rights (La Porta, Lopez-de-Silanes, and Shleifer, 1999; Claessens, Djankov, and Lang, 2000; Lins, 2003). In many emerging markets, the absence of robust legal protective rules and institutions or other external governance mechanisms such as takeovers and block-ownership limits further increases the severity of agency problems between inside blockholders and minority shareholders.

High incumbent stock ownership concentration exacerbates the deviation from the social optimum when inside blockholders hold excess voting control rights in comparison to their cash flow rights. For instance, the cost of debt is significantly higher for firms with a wider wedge between the largest ultimate owner’s control rights and cash flow rights due to potential tunneling and self-dealing behaviors and other moral hazard activities by inside blockholders (Lin, Ma, Malatesta, and Xuan, 2011). Also, the shadow price of external finance is significantly higher for firms that experience a wider control-ownership wedge among corporate insiders, thus corporations whose incumbents have large excess control rights tend to face more severe financial constraints (Lin, Ma, and Xuan, 2011). These negative outcomes tend to arise from high incumbent stock ownership concentration. The above equilibrium interplay between inside blockholders and small minority shareholders suggests corporate rent protection in favor of incumbents who hold large blocks of stock in the firm.

Is international divergence from Berle-Means stock ownership dispersion an optimal corporate outcome?
https://ayafintech.network/blog/berle-means-corporate-ownership-governance/

Adolf Berle and Gardiner Means’s (1932) seminal work serves as the canonical qualitative basis for the separation of corporate ownership and control. Their primary thesis has set the mainstream foundation of corporate governance research for legal scholars, practitioners, and economists over 90 years. In line with this Berle-Means thesis, corporate control over physical assets responds to a centripetal force and concentrates in the hands of only a few incumbents, whereas, corporate ownership is centrifugal, splits into small units, and passes from one person to another (Berle and Means, 1932: 9). In the Berle-Means image of the modern corporation, executives and directors gain their income primarily from the effort that these incumbents put into business decisions, but not from the return on their stock investment in the enterprise. To the extent that corporate structures evolve in response to competitive pressures in the capital markets, the Berle-Means thesis predicts gradual convergence toward diffuse equity ownership as the most efficient form.

In this paper, we design and develop a model of corporate ownership and control to assess the theoretical plausibility of Berle-Means convergence toward dispersed incumbent stock ownership. To the best of our knowledge, this study is the first mathematical analysis of whether Berle-Means convergence is optimal. Further, this analysis delves into whether Berle-Means convergence is desirable from the social planner’s perspective. A subsequent analysis explores the equilibrium interplay between inside blockholders and minority shareholders.

The core analytical results suggest that Berle-Means convergence occurs when legal institutions for investor protection outweigh in relative importance firm-specific asset protection of investor rights. While legal and firm-specific asset arrangements are complementary sources of investor protection, Berle-Means convergence toward dispersed incumbent stock ownership draws the corporate outcome to the socially optimal quality of corporate governance. High incumbent stock ownership creates perverse incentives for inside blockholders to steer corporate decisions to the detriment of minority shareholders.

In the current study, we extend and generalize Yeh, Lim, and Vos’s (2007) baseline model of Berle-Means convergence with the constant elasticity of substitution (CES) production function in comparison to the Cobb-Douglas special case. While the first proposition remains the same in this more general CES production function, several new analytical results include institutional complementarities, socially optimal incumbent equity ownership stakes, and persistent deviations from Berle-Means stock ownership dispersion in equilibrium. The latter result is an equilibrium subpar outcome in the corporate game with information asymmetries between inside blockholders and minority shareholders. These novel propositions serve as the theoretical basis for subsequent empirical analysis. The appendices provide the complete mathematical derivation.

Our analysis rests on the fundamental concept that corporate insiders can often steer key business decisions at the detriment of minority shareholders. The corporate governance literature is replete with examples of deliberate use of managerial power that leads to a deterioration in firm value. For instance, incumbents may engage in earnings management prior to major corporate events such as initial public offerings (Teoh, Welch, and Wong, 1998a), seasoned equity offerings (Teoh, Welch, and Wong, 1998b), stock-for-stock mergers (Erickson and Wang, 1999; Louis, 2004), and open-market repurchases (Gong, Louis, and Sun, 2008). Also, corporate managers tend to opportunistically time the stock market through equity issuance when the firm’s market value is high relative to its book value or past market values (e.g. Jung, Kim, and Stulz, 1996; Pagano, Panetta, and Zingales, 1998; Baker and Wurgler, 2002; Huang and Ritter, 2009). In addition, abnormal stock returns tend to arise as a result of corporate events that are associated with asset expansion or contraction (e.g. Loughran and Ritter (1995), Ikenberry, Lakonishok, and Vermaelen (1995), Loughran and Vijh (1997), Titman, Wei, and Xie (2004), Anderson and Garcia-Feijoo (2006), Fama and French (2006), and Cooper, Gulen, and Schill (2008)). Incumbent blocks of stock further facilitate this managerial rent-protection mechanism that drives business decisions to benefit inside blockholders (e.g. Bebchuk, 1999; Bebchuk and Roe; 1999; Dyck and Zingales, 2004). In this context, the desire for retaining private benefits of control may induce incumbents to introduce corporate arrangements such as poison pills and board classifications to insulate directors and executives from the influence of outside blockholders (Shleifer and Vishny, 1986; Bebchuk, Coates, and Subramanian, 2002; Bebchuk and Cohen, 2005; Bebchuk and Kamar, 2010; Bebchuk and Jackson, 2012; Bebchuk, 2013; Bebchuk, Brav, and Jiang, 2015). In summary, both managerial power and entrenchment are essential ingredients in our analysis of the equilibrium interplay between inside blockholders and minority shareholders. This interplay can shed light on whether the Berle-Means image of the modern corporation is sustainable near the social optimum.

This study provides a theoretical model of the dynamic evolution of corporate ownership and governance structures over time. This model is general enough to encapsulate both arguments for and against Berle-Means convergence as special cases. In the context of equilibrium interplay between inside blockholders and minority shareholders, the model predicts that the former obtain a positive rent from their large blocks of stock by having both corporate power and influence to steer business decisions while the latter maintain a neutral utility threshold. Insofar as incumbents seek and secure economic rent in the corporate game, this equilibrium interplay persists as a non-trivial deviation from the social optimum. Berle-Means convergence toward diffuse incumbent stock ownership hence may or may not materialize due to the unilateral tilt of both legal and firm-specific asset arrangements for investor protection. In summary, our mathematical analysis sheds skeptical light on high insider stock ownership with managerial entrenchment and rent protection.

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Corporate ownership governance theory and practice - Blog - AYA fintech network platform provides proprietary alpha stock signals and personal finance tools for stock market investors.

Corporate ownership governance theory and practice

https://ayafintech.network/blog/corporate-ownership-governance-theory-and-practice/

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