Terrorist attacks, managerial sentiment, and corporate disclosures
This study investigates the effect of managerial sentiment on corporate disclosure decisions. Using terrorist attacks in the United States as adverse shocks to managerial sentiment, we find that firms located in the metropolitan areas attacked issue more negatively biased earnings forecasts. The eff...
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sg-smu-ink.soa_research-28642022-04-14T01:22:52Z Terrorist attacks, managerial sentiment, and corporate disclosures CHEN, Wen WU, Haibin ZHANG, Liandong This study investigates the effect of managerial sentiment on corporate disclosure decisions. Using terrorist attacks in the United States as adverse shocks to managerial sentiment, we find that firms located in the metropolitan areas attacked issue more negatively biased earnings forecasts. The effect is stronger for firms with higher operating uncertainty and firms with younger, inexperienced, or less confident executives and it is weaker for firms located in states with increasing violent crime rates. A potential alternative explanation is that managers could strategically bias earnings forecasts downward and attribute the poor performance to terrorist attacks. To address this issue, we conduct a battery of additional analyses and the results are more consistent with managerial sentiment than strategic attribution. In addition, we show that our results are unlikely driven by any economic effects of terrorist attacks. Finally, firms in the attacked areas also exhibit a more pessimistic tone in 10-K/10-Q filings. 2021-07-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/soa_research/1837 info:doi/10.2308/TAR-2017-0655 https://ink.library.smu.edu.sg/context/soa_research/article/2864/viewcontent/CWZ_2020_SMU.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Accountancy eng Institutional Knowledge at Singapore Management University disclosure behavioral bias management forecast sentiment terrorist attacks Accounting Corporate Finance |
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disclosure behavioral bias management forecast sentiment terrorist attacks Accounting Corporate Finance CHEN, Wen WU, Haibin ZHANG, Liandong Terrorist attacks, managerial sentiment, and corporate disclosures |
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This study investigates the effect of managerial sentiment on corporate disclosure decisions. Using terrorist attacks in the United States as adverse shocks to managerial sentiment, we find that firms located in the metropolitan areas attacked issue more negatively biased earnings forecasts. The effect is stronger for firms with higher operating uncertainty and firms with younger, inexperienced, or less confident executives and it is weaker for firms located in states with increasing violent crime rates. A potential alternative explanation is that managers could strategically bias earnings forecasts downward and attribute the poor performance to terrorist attacks. To address this issue, we conduct a battery of additional analyses and the results are more consistent with managerial sentiment than strategic attribution. In addition, we show that our results are unlikely driven by any economic effects of terrorist attacks. Finally, firms in the attacked areas also exhibit a more pessimistic tone in 10-K/10-Q filings. |
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text |
author |
CHEN, Wen WU, Haibin ZHANG, Liandong |
author_facet |
CHEN, Wen WU, Haibin ZHANG, Liandong |
author_sort |
CHEN, Wen |
title |
Terrorist attacks, managerial sentiment, and corporate disclosures |
title_short |
Terrorist attacks, managerial sentiment, and corporate disclosures |
title_full |
Terrorist attacks, managerial sentiment, and corporate disclosures |
title_fullStr |
Terrorist attacks, managerial sentiment, and corporate disclosures |
title_full_unstemmed |
Terrorist attacks, managerial sentiment, and corporate disclosures |
title_sort |
terrorist attacks, managerial sentiment, and corporate disclosures |
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Institutional Knowledge at Singapore Management University |
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2021 |
url |
https://ink.library.smu.edu.sg/soa_research/1837 https://ink.library.smu.edu.sg/context/soa_research/article/2864/viewcontent/CWZ_2020_SMU.pdf |
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