Pollution and Performance: Do Investors Make Worse Trades on Hazy Days?

Загрязнение окружающей среды и результаты инвестирования: совершают ли инвесторы менее удачные сделки в туманные дни?
Nianhang Xu, Jiekun Huang, Honghai Yu
2020-03-16

air pollutionattention-driven buyingdisposition effectindividual investor tradingtrade performance
This paper examines the relation between air pollution and individual investors’ trading behavior and performance. Using unique data on stock trades by 87,504 individuals from 34 cities in China, we find a negative relation between air pollution and trade performance. This result is obtained after controlling for investor-year fixed effects and date fixed effects, as well as local weather conditions. More strikingly, abnormal trade performance decreases monotonically with the levels indicating the severity of air pollution. Furthermore, we find evidence suggesting that air pollution makes investors more susceptible to the disposition effect and attention-driven buying behavior. Overall, the results highlight a hitherto-unexplored cost that ambient air pollution imposes on stock market investors. This paper was accepted by Tylor Shumway, finance.
1
Abnormal trading performance decreases monotonically as air-pollution severity increases.
2
Air pollution appears to increase investors’ susceptibility to the disposition effect and attention-driven buying behavior.
3
Ambient air pollution imposes a previously unexplored cost on individual stock-market investors.
4
The negative pollution–performance relationship remains after controlling for investor-year fixed effects, date fixed effects, and local weather conditions.
5
Using trade data from 87,504 individual investors across 34 Chinese cities, the study finds that air pollution is negatively associated with trading performance.

Individual investors’ stock trading in China under varying ambient air pollution levels

The relationship between air pollution and investors’ trading performance and behavioral biases, including the disposition effect and attention-driven buying

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Publication Date
2020-03-16
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Authors
Nianhang Xu
Jiekun Huang
Honghai Yu
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