Under the dome: Air pollution and analyst forecast optimism
Ying Wang and
Zisen Liu
Research in International Business and Finance, 2024, vol. 70, issue PA
Abstract:
In this study, we investigate whether unpleasant mood caused by air pollution leads to lower analyst forecast optimism. Using a sample of 103,768 observations from 2014 to 2021, we show that there is a negative association between air pollution and analyst forecast optimism. Furthermore, we find that analysts become more optimistic forecasters after moving to a city with lower level of air pollution. Our results hold through various robustness tests including alternative measures of air pollution, controlling for various fixed effects, 2SLS by instrumenting for air pollution using thermal inversions and a placebo test by randomizing the headquarter locations of brokerage firms in our sample. Our paper provides plausibly causal evidence that air pollution lowers analyst forecast optimism.
Keywords: Air Pollution; Analyst Forecast Optimism; Financial Analysts (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0275531924001387
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:riibaf:v:70:y:2024:i:pa:s0275531924001387
DOI: 10.1016/j.ribaf.2024.102345
Access Statistics for this article
Research in International Business and Finance is currently edited by T. Lagoarde Segot
More articles in Research in International Business and Finance from Elsevier
Bibliographic data for series maintained by Catherine Liu ().