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Search results : rene stulz

Internal capital markets and financial constraints

Charlene Vos

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

Internal capital markets and financial constraints Duchin (JF 2010) empirically finds that multidivisional firms with robust internal capital markets retain about half as much precautionary cash balances as highly...
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Precautionary-motive and agency reasons for corporate cash management

Monica McNeil

2022-10-05 08:24:00 Wednesday ET

Precautionary-motive and agency reasons for corporate cash management Bates, Kahle, and Stulz (JF 2009) empirically find that public firms have doubled their cash reservoirs due to both more volatile cash flows an...
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Net stock issuance theory and practice

Becky Berkman

2022-05-25 09:31:00 Wednesday ET

Net stock issuance theory and practice Net equity issuance can be in the form of initial public offering (IPO) or seasoned equity offering (SEO). This literature review focuses on the major IPO anomalies, the key...
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Corporate diversification theory and evidence

James Campbell

2022-04-05 17:39:00 Tuesday ET

Corporate diversification theory and evidence A recent strand of corporate diversification literature spans at least three generations. The first generation suggests that corporate diversification typically erodes...
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Corporate cash management

Jacob Miramar

2022-03-25 09:34:00 Friday ET

Corporate cash management The empirical corporate finance literature suggests four primary motives for firms to hold cash. These motives include the transaction motive, the tax motive, the agency motive, and the ...
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Chicago financial economist Raghuram Rajan views communities as the third pillar of liberal democracy.

Jonah Whanau

2019-02-25 12:41:00 Monday ET

Chicago financial economist Raghuram Rajan views communities as the third pillar of liberal democracy.

Chicago financial economist Raghuram Rajan views communities as the third pillar of liberal democracy in addition to open markets and states. Rajan suggests

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Michael Woodford provides the theoretical foundations of monetary policy rules in ever more efficient financial markets.

Fiona Sydney

2023-09-07 11:30:00 Thursday ET

Michael Woodford provides the theoretical foundations of monetary policy rules in ever more efficient financial markets.

Michael Woodford provides the theoretical foundations of monetary policy rules in ever more efficient financial markets. Michael Woodford (2003)  

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Apple provides positive forward guidance on both revenue and profit forecasts for iPhones, iPads, and MacBooks.

James Campbell

2019-02-09 08:33:00 Saturday ET

Apple provides positive forward guidance on both revenue and profit forecasts for iPhones, iPads, and MacBooks.

Apple provides positive forward guidance on both revenue and profit forecasts for iPhones, iPads, and MacBooks. In the Christmas 2018 festive season, MacBoo

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Federal Reserve delivers a second interest rate hike to 1.75%-2% and then expects more rate increases in late-2018.

Charlene Vos

2018-06-08 13:35:00 Friday ET

Federal Reserve delivers a second interest rate hike to 1.75%-2% and then expects more rate increases in late-2018.

The Federal Reserve delivers a second interest rate hike to 1.75%-2% and then expects subsequent rate increases in September and December 2018 to dampen inf

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Volcker, Greenspan, Bernanke, and Yellen contribute to a Wall Street Journal op-ed on monetary policy independence.

Olivia London

2019-09-23 12:25:00 Monday ET

Volcker, Greenspan, Bernanke, and Yellen contribute to a Wall Street Journal op-ed on monetary policy independence.

Volcker, Greenspan, Bernanke, and Yellen contribute to a Wall Street Journal op-ed on monetary policy independence. These former Federal Reserve chiefs unit

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Generative artificial intelligence (Gen AI) uses large language models (LLM) to create online contents with better human productivity.

Monica McNeil

2024-10-31 09:26:00 Thursday ET

Generative artificial intelligence (Gen AI) uses large language models (LLM) to create online contents with better human productivity.

Generative artificial intelligence (Gen AI) uses large language models (LLM) and content generation tools to enhance human lives with better productivity.

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