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Extreme Temperatures and Firm-Level Stock Returns
1School of Management and Economics, University of Electronic Science and Technology of China, Chengdu 611731, China.
Extreme temperatures negatively impact firm-level stock returns in China. This effect is stronger for smaller, younger, and less profitable companies, suggesting investor mood influences market reactions to weather.
Area of Science:
- Environmental Economics
- Behavioral Finance
- Financial Markets
Background:
- Investor sentiment and mood significantly influence stock market dynamics.
- Environmental factors, such as weather, can impact economic activities and investor psychology.
- Understanding the link between climate and financial markets is crucial for risk assessment.
Purpose of the Study:
- To investigate the relationship between extreme temperatures and firm-level stock returns in China.
- To identify firm-specific characteristics that moderate the impact of extreme weather on stock performance.
- To explore the role of investor mood as a potential mechanism driving these effects.
Main Methods:
- Utilized a multivariate ordinary least squares regression model with fixed effects.
- Analyzed firm-level stock return data and daily weather conditions in China from 2007 to 2019.
- Examined heterogeneity in the temperature-return relationship across different firm types.
Main Results:
- Firm-level stock returns were found to decrease with exposure to extreme temperatures.
- The negative impact of extreme temperatures on abnormal stock returns was more pronounced in smaller, younger, more volatile, less profitable firms, and those with more intangible assets.
- Evidence suggests that investor mood plays a significant role in the observed temperature-return effect.
Conclusions:
- Extreme weather conditions have a discernible negative effect on stock market performance at the firm level.
- Firm characteristics mediate the sensitivity of stock returns to temperature fluctuations, highlighting vulnerabilities in certain market segments.
- The findings provide empirical support for the environment-induced mood effect in financial markets.
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