Journal
JOURNAL OF FINANCIAL ECONOMICS
Volume 139, Issue 3, Pages 971-984Publisher
ELSEVIER SCIENCE SA
DOI: 10.1016/j.jfineco.2019.12.004
Keywords
Pollution; Forecasting bias; Investment analysts; Adaptation
Categories
Funding
- National Natural Science Foundation of China [71622010, 71790601, 71532012]
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A negative relation was found between air pollution during corporate site visits and subsequent earnings forecasts by investment analysts. Pollution only affects forecasts that are announced in the weeks immediately following a visit, and the effect of pollution is less pronounced when analysts from different brokerages visit on the same date. There is suggestive evidence of adaptability to environmental circumstances in forecasts from analysts based in high pollution cities.
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. (C) 2019 Elsevier B.V. All rights reserved.
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