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ChatGPT and Corporate Policies

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  • Manish Jha
  • Jialin Qian
  • Michael Weber
  • Baozhong Yang

Abstract

We create a firm-level ChatGPT investment score, based on conference calls, that measures managers' anticipated changes in capital expenditures. We validate the score with interpretable textual content and its strong correlation with CFO survey responses. The investment score predicts future capital expenditure for up to nine quarters, controlling for Tobin's q and other determinants, implying the investment score provides incremental information about firms' future investment opportunities. The investment score also separately forecasts future total, intangible, and R&D investments. High-investment-score firms experience significant negative future abnormal returns. We demonstrate ChatGPT's applicability to measure other policies, such as dividends and employment.

Suggested Citation

  • Manish Jha & Jialin Qian & Michael Weber & Baozhong Yang, 2024. "ChatGPT and Corporate Policies," NBER Working Papers 32161, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:32161
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    1. Timothy Erickson & Toni M. Whited, 2000. "Measurement Error and the Relationship between Investment and q," Journal of Political Economy, University of Chicago Press, vol. 108(5), pages 1027-1057, October.
    2. Francesco D’Acunto & Daniel Hoang & Michael Weber, 2022. "Managing Households’ Expectations with Unconventional Policies," The Review of Financial Studies, Society for Financial Studies, vol. 35(4), pages 1597-1642.
    3. Utku U. Acikalin & Tolga Caskurlu & Gerard Hoberg & Gordon M. Phillips, 2022. "Intellectual Property Protection Lost and Competition: An Examination Using Machine Learning," NBER Working Papers 30671, National Bureau of Economic Research, Inc.
    4. Abel, Andrew B & Eberly, Janice C, 1994. "A Unified Model of Investment under Uncertainty," American Economic Review, American Economic Association, vol. 84(5), pages 1369-1384, December.
    5. Tarek A Hassan & Stephan Hollander & Laurence van Lent & Ahmed Tahoun, 2019. "Firm-Level Political Risk: Measurement and Effects," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(4), pages 2135-2202.
    6. Olivier Coibion & Yuriy Gorodnichenko & Saten Kumar, 2018. "How Do Firms Form Their Expectations? New Survey Evidence," American Economic Review, American Economic Association, vol. 108(9), pages 2671-2713, September.
    7. Thomas Philippon, 2009. "The Bond Market's q," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(3), pages 1011-1056.
    8. Bolton, Patrick & Chen, Hui & Wang, Neng, 2013. "Market timing, investment, and risk management," Journal of Financial Economics, Elsevier, vol. 109(1), pages 40-62.
    9. Kai Li & Feng Mai & Rui Shen & Xinyan Yan, 2021. "Measuring Corporate Culture Using Machine Learning," NBER Chapters, in: Big Data: Long-Term Implications for Financial Markets and Firms, pages 3265-3315, National Bureau of Economic Research, Inc.
    10. Olivier Coibion & Yuriy Gorodnichenko & Michael Weber, 2022. "Monetary Policy Communications and Their Effects on Household Inflation Expectations," Journal of Political Economy, University of Chicago Press, vol. 130(6), pages 1537-1584.
    11. Abel, Andrew B & Blanchard, Olivier J, 1986. "The Present Value of Profits and Cyclical Movements in Investment," Econometrica, Econometric Society, vol. 54(2), pages 249-273, March.
    12. Andrei, Daniel & Mann, William & Moyen, Nathalie, 2019. "Why did the q theory of investment start working?," Journal of Financial Economics, Elsevier, vol. 133(2), pages 251-272.
    13. Graham, John R. & Harvey, Campbell R. & Puri, Manju, 2013. "Managerial attitudes and corporate actions," Journal of Financial Economics, Elsevier, vol. 109(1), pages 103-121.
    14. Andrea L. Eisfeldt & Dimitris Papanikolaou, 2013. "Organization Capital and the Cross-Section of Expected Returns," Journal of Finance, American Finance Association, vol. 68(4), pages 1365-1406, August.
    15. Olivier Coibion & Yuriy Gorodnichenko & Tiziano Ropele, 2020. "Inflation Expectations and Firm Decisions: New Causal Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(1), pages 165-219.
    16. Jha, Manish & Liu, Hongyi & Manela, Asaf, 2021. "Natural Disaster Effects on Popular Sentiment Toward Finance," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 56(7), pages 2584-2604, November.
    17. Jiang, Fuwei & Lee, Joshua & Martin, Xiumin & Zhou, Guofu, 2019. "Manager sentiment and stock returns," Journal of Financial Economics, Elsevier, vol. 132(1), pages 126-149.
    18. Alejandro Lopez-Lira & Yuehua Tang, 2023. "Can ChatGPT Forecast Stock Price Movements? Return Predictability and Large Language Models," Papers 2304.07619, arXiv.org, revised Sep 2024.
    19. Itay Goldstein, 2023. "Information in Financial Markets and Its Real Effects," Review of Finance, European Finance Association, vol. 27(1), pages 1-32.
    20. Peters, Ryan H. & Taylor, Lucian A., 2017. "Intangible capital and the investment-q relation," Journal of Financial Economics, Elsevier, vol. 123(2), pages 251-272.
    21. Joshua Livnat & Richard R. Mendenhall, 2006. "Comparing the Post–Earnings Announcement Drift for Surprises Calculated from Analyst and Time Series Forecasts," Journal of Accounting Research, Wiley Blackwell, vol. 44(1), pages 177-205, March.
    22. Erickson, Timothy & Jiang, Colin Huan & Whited, Toni M., 2014. "Minimum distance estimation of the errors-in-variables model using linear cumulant equations," Journal of Econometrics, Elsevier, vol. 183(2), pages 211-221.
    23. Alex Kim & Maximilian Muhn & Valeri Nikolaev, 2023. "Bloated Disclosures: Can ChatGPT Help Investors Process Information?," Papers 2306.10224, arXiv.org, revised Feb 2024.
    24. Titman, Sheridan & Wei, K. C. John & Xie, Feixue, 2004. "Capital Investments and Stock Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 39(4), pages 677-700, December.
    25. Kai Li & Feng Mai & Rui Shen & Xinyan Yan, 2021. "Measuring Corporate Culture Using Machine Learning [Machine learning methods that economists should know about]," The Review of Financial Studies, Society for Financial Studies, vol. 34(7), pages 3265-3315.
    26. Michael Weber & Francesco D'Acunto & Yuriy Gorodnichenko & Olivier Coibion, 2022. "The Subjective Inflation Expectations of Households and Firms: Measurement, Determinants, and Implications," Journal of Economic Perspectives, American Economic Association, vol. 36(3), pages 157-184, Summer.
    27. Gerard Hoberg & Gordon Phillips, 2010. "Product Market Synergies and Competition in Mergers and Acquisitions: A Text-Based Analysis," The Review of Financial Studies, Society for Financial Studies, vol. 23(10), pages 3773-3811, October.
    28. Tim Loughran & Bill Mcdonald, 2011. "When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks," Journal of Finance, American Finance Association, vol. 66(1), pages 35-65, February.
    29. Philip Bond & Alex Edmans & Itay Goldstein, 2012. "The Real Effects of Financial Markets," Annual Review of Financial Economics, Annual Reviews, vol. 4(1), pages 339-360, October.
    30. Michael Ewens & Ryan H. Peters & Sean Wang, 2019. "Measuring Intangible Capital with Market Prices," NBER Working Papers 25960, National Bureau of Economic Research, Inc.
    31. Gerard Hoberg & Vojislav Maksimovic, 2022. "Product Life Cycles in Corporate Finance," The Review of Financial Studies, Society for Financial Studies, vol. 35(9), pages 4249-4299.
    32. Laura Xiaolei Liu & Toni M. Whited & Lu Zhang, 2009. "Investment-Based Expected Stock Returns," Journal of Political Economy, University of Chicago Press, vol. 117(6), pages 1105-1139, December.
    33. Kathleen Weiss Hanley, 2010. "The Information Content of IPO Prospectuses," The Review of Financial Studies, Society for Financial Studies, vol. 23(7), pages 2821-2864, July.
    34. Qi Chen & Itay Goldstein & Wei Jiang, 2007. "Price Informativeness and Investment Sensitivity to Stock Price," The Review of Financial Studies, Society for Financial Studies, vol. 20(3), pages 619-650.
    35. Kewei Hou & Chen Xue & Lu Zhang, 2015. "Editor's Choice Digesting Anomalies: An Investment Approach," The Review of Financial Studies, Society for Financial Studies, vol. 28(3), pages 650-705.
    36. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    37. Alex Edmans & Itay Goldstein & Wei Jiang, 2012. "The Real Effects of Financial Markets: The Impact of Prices on Takeovers," Journal of Finance, American Finance Association, vol. 67(3), pages 933-971, June.
    38. Tor-Erik Bakke & Toni M. Whited, 2010. "Which Firms Follow the Market? An Analysis of Corporate Investment Decisions," The Review of Financial Studies, Society for Financial Studies, vol. 23(5), pages 1941-1980.
    39. Antonio Falato & Dalida Kadyrzhanova & Jae Sim & Roberto Steri, 2022. "Rising Intangible Capital, Shrinking Debt Capacity, and the U.S. Corporate Savings Glut," Journal of Finance, American Finance Association, vol. 77(5), pages 2799-2852, October.
    40. Paul C. Tetlock, 2007. "Giving Content to Investor Sentiment: The Role of Media in the Stock Market," Journal of Finance, American Finance Association, vol. 62(3), pages 1139-1168, June.
    41. McConnell, John J. & Muscarella, Chris J., 1985. "Corporate capital expenditure decisions and the market value of the firm," Journal of Financial Economics, Elsevier, vol. 14(3), pages 399-422, September.
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    More about this item

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G31 - Financial Economics - - Corporate Finance and Governance - - - Capital Budgeting; Fixed Investment and Inventory Studies
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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