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From Transcripts to Insights: Uncovering Corporate Risks Using Generative AI
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From Transcripts to Insights: Uncovering Corporate Risks Using Generative AI (2023)From Transcripts to Insights: Uncovering …Can ChatGPT forecast stock price movements? Return predictability and large language models (2026)Can ChatGPT forecast stock pr…Firm‐Level Climate Change Exposure (2023)Firm‐Level Climate Change Exp…Corporate Climate Risk: Measurements and Responses (2020)Corporate Climate Risk: Measu…Firm-Level Political Risk: Measurement and Effects* (2019)Firm-Level Political Risk: Me…Technological Innovation, Resource Allocation, and Growth* (2017)Technological Innovation, Res…Measuring Economic Policy Uncertainty* (2016)Measuring Economic Policy Unc…Measuring Readability in Financial Disclosures (2014)Measuring Readability in Fina…A five-factor asset pricing model (2014)A five-factor asset pricing m…Political uncertainty and risk premia (2013)Political uncertainty and ris…Technological Innovation, Resource Allocation and Growth (2012)Technological Innovation, Res…Measuring Readability in Financial Disclosures (2011)Measuring Readability in Fina…Large‐Sample Evidence on Firms’ Year‐over‐Year MD&A Modifications (2010)Large‐Sample Evidence on Firm…Risk and Volatility: Econometric Models and Financial Practice (2004)Risk and Volatility: Economet…Investment under Uncertainty (1994)Investment under UncertaintyToward a More General Theory of Regulation (1976)Toward a More General Theory …Risk, Return, and Equilibrium: Empirical Tests (1973)Risk, Return, and Equilibrium…Can generative AI help identify peer firms? (2025)Can generative AI help identi…CAPITAL ASSET PRICES: A THEORY OF MARKET EQUILIBRIUM UNDER CONDITIONS OF RISK* (1964)The Behavior of Stock-Market Prices (1965)THE VALUATION OF RISK ASSETS AND THE SELECTION OF RISKY INVESTMENTS IN STOCK PORTFOLIOS AND CAPITAL BUDGETS**This paper is another in a series of interrelated theoretical and statistical studies of corporate financial and investment policies being made under grants from the Rockefeller Foundation, and more recently the Ford Foundation, to the Harvard Business School. The generous support for this work is most gratefully acknowledged. The author is also much indebted to his colleagues Professors Bishop, Christenson, Kahr, Raiffa, and (especially) Schlaifer, for extensive discussion and commentary on an earlier draft of this paper; but responsibility for any errors or imperfections remains strictly his own.[Professor Sharpe's paper, “Capital Asset Prices: A Theory of Market Equilibrium Under Conditions of Risk” (Journal of Finance, September 1964) appeared after this paper was in final form and on its way to the printers. My first section, which parallels the first half of his paper (with corresponding conclusions), sets the algebraic framework for sections II, III and VI, (which have no counterpart in his paper) and for section IV on the equilibrium prices of risk assets, concerning which our results differ significantly for reasons which will be explored elsewhere. 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References

  • 1973Risk, Return, and Equilibrium: Empirical Tests14,248 cited
  • 2016Measuring Economic Policy Uncertainty*12,311 cited
  • 1994Investment under Uncertainty9,016 cited
  • 2014A five-factor asset pricing model7,841 cited
  • 1976Toward a More General Theory of Regulation4,771 cited
  • 2017Technological Innovation, Resource Allocation, and Growth*2,445 cited
  • 2013Political uncertainty and risk premia2,375 cited
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  • 2023Firm‐Level Climate Change Exposure1,403 cited
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  • 2020Corporate Climate Risk: Measurements and Responses569 cited
  • 2004Risk and Volatility: Econometric Models and Financial Practice554 cited
  • 2026Can ChatGPT forecast stock price movements? Return predictability and large language models426 cited
  • 2011Measuring Readability in Financial Disclosures

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  • 2025Can generative AI help identify peer firms?17 cited