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Journal of Financial Economics Vol. 139 No. 3 2021

Air pollution, affect, and forecasting bias: Evidence from Chinese financial analysts

Rui Dong1; Raymond Fisman2; Yong‐Xiang Wang3; Nianhang Xu1

1 Renmin University of China · 2 Boston University · 3 University of Southern California

Abstract

We document a negative relation between air pollution during corporate site visits by investment analysts and subsequent earnings forecasts. After accounting for analyst, weather, and firm characteristics, an extreme worsening of air quality from “good/excellent” to “severely polluted” is associated with a more than 1 percentage point lower profit forecast, relative to realized profits. We explore heterogeneity in the pollution-forecast relation to understand better the underlying mechanism. Pollution only affects forecasts that are announced in the weeks immediately following a visit, indicating that mood likely plays a role, and the effect of pollution is less pronounced when analysts from different brokerages visit on the same date, suggesting a debiasing effect of multiple perspectives. Finally, there is suggestive evidence of adaptability to environmental circumstances – forecasts from analysts based in high pollution cities are relatively unaffected by site visit pollution.

DOI
10.1016/j.jfineco.2019.12.004
Volume
139
Issue
3
Pages
971-984
Language
en
Sources
crossref bibtex:phds-export.bib openalex

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