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ChatGPT and Corporate Policies

16 Feb 2024

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.
data collection financial markets econometrics macroeconomics corporate finance asset pricing financial economics monetary economics economic fluctuations and growth development and growth consumption and investment innovation and r&d

Authors

Manish Jha, Jialin Qian, Michael Weber, Baozhong Yang

Acknowledgements & Disclosure
We have nothing to disclose. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research.
DOI
https://doi.org/10.3386/w32161
Published in
United States of America

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