[[{“value”:”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 post ChatGPT as a predictor of corporate investment appeared first on Marginal REVOLUTION.”}]]
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.
That is from a new NBER working paper by Manish Jia, Jialin Qian, Michael Weber, and Baozhong Yang.
The post ChatGPT as a predictor of corporate investment appeared first on Marginal REVOLUTION.
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