Temperature Sensitivity, Mispricing, and Predictable Returns

We examine the relation between temperature changes and firm performance using a novel time-varying measure of firm-level temperature sensitivity. We find that firms with higher temperature sensitivity have lower future profitability and riskier corporate policies. These firms are also overpriced and earn lower average future returns as market participants are slow to correct the mispricing. Nonlocal institutional investors allocate higher portfolio weights to firms with high temperature sensitivity, and sell-side equity analyst forecasts are less accurate for these firms. Together, these results suggest that financial markets underreact to information about firm-level temperature sensitivity, and this generates predictable patterns in returns. A trading strategy that exploits this mispricing generates an annualized risk-adjusted return of more than 4% during the 1968–2020 period. This paper was accepted by Bo Becker, finance. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2023.00972 .

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Publication Details

Journal
Management Science
Published
2025-07-14
DOI
https://doi.org/10.1287/mnsc.2023.00972
Citations
15
Primary Topic
Market Dynamics and Volatility
Type
article
Field-Weighted Citation Impact
34.44
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article

Temperature Sensitivity, Mispricing, and Predictable Returns

Chendi Zhang, Alok Kumar, Carina Cuculiza, Wei Xin
15 citations
Management Science
Market Dynamics and Volatility
34.44
article

Temperature Sensitivity, Mispricing, and Predictable Returns

Chendi Zhang, Alok Kumar, Carina Cuculiza, Wei Xin
article en
15 citations

Abstract

We examine the relation between temperature changes and firm performance using a novel time-varying measure of firm-level temperature sensitivity. We find that firms with higher temperature sensitivity have lower future profitability and riskier corporate policies. These firms are also overpriced and earn lower average future returns as market participants are slow to correct the mispricing. Nonlocal institutional investors allocate higher portfolio weights to firms with high temperature sensitivity, and sell-side equity analyst forecasts are less accurate for these firms. Together, these results suggest that financial markets underreact to information about firm-level temperature sensitivity, and this generates predictable patterns in returns. A trading strategy that exploits this mispricing generates an annualized risk-adjusted return of more than 4% during the 1968–2020 period. This paper was accepted by Bo Becker, finance. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2023.00972 .

Management ScienceVol. 72(3)
University of Miami (US), University of Kansas (US), University of Exeter (GB)
Openalex Percentile: Top 0%
Market Dynamics and Volatility
34.44
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Temperature Sensitivity, Mispricing, and Predictable Returns — Chendi Zhang, Alok Kumar, et al. · Management Science (2025) | TGRS Research Map | TGRS