Event-study methodology under conditions of event-induced variance
Many authors have identified the hazards of ignoring event-induced variance in event studies. To determine the practical extent of the problem, we simulate an event with stochastic effects. We find that when an event causes even minor increases in variance, the most commonly-used methods reject the...
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Institutional Knowledge at Singapore Management University
1991
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sg-smu-ink.lkcsb_research-56652024-01-26T06:30:56Z Event-study methodology under conditions of event-induced variance BOEHMER, Ekkehart MASUMECI, Jim POULSEN, Annette B. Many authors have identified the hazards of ignoring event-induced variance in event studies. To determine the practical extent of the problem, we simulate an event with stochastic effects. We find that when an event causes even minor increases in variance, the most commonly-used methods reject the null hypothesis of zero average abnormal return too frequently when it is true, although they are reasonably powerful when it is false. We demonstrate that a simple adjustment to the cross-sectional techniques produces appropriate rejection rates when the null is true and equally powerful tests when it is false. 1991-12-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/lkcsb_research/4666 info:doi/10.1016/0304-405X(91)90032-F https://ink.library.smu.edu.sg/context/lkcsb_research/article/5665/viewcontent/event_variance_pv_1991.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection Lee Kong Chian School Of Business eng Institutional Knowledge at Singapore Management University Business Finance and Financial Management Management Sciences and Quantitative Methods |
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Business Finance and Financial Management Management Sciences and Quantitative Methods BOEHMER, Ekkehart MASUMECI, Jim POULSEN, Annette B. Event-study methodology under conditions of event-induced variance |
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Many authors have identified the hazards of ignoring event-induced variance in event studies. To determine the practical extent of the problem, we simulate an event with stochastic effects. We find that when an event causes even minor increases in variance, the most commonly-used methods reject the null hypothesis of zero average abnormal return too frequently when it is true, although they are reasonably powerful when it is false. We demonstrate that a simple adjustment to the cross-sectional techniques produces appropriate rejection rates when the null is true and equally powerful tests when it is false. |
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text |
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BOEHMER, Ekkehart MASUMECI, Jim POULSEN, Annette B. |
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BOEHMER, Ekkehart MASUMECI, Jim POULSEN, Annette B. |
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BOEHMER, Ekkehart |
title |
Event-study methodology under conditions of event-induced variance |
title_short |
Event-study methodology under conditions of event-induced variance |
title_full |
Event-study methodology under conditions of event-induced variance |
title_fullStr |
Event-study methodology under conditions of event-induced variance |
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Event-study methodology under conditions of event-induced variance |
title_sort |
event-study methodology under conditions of event-induced variance |
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Institutional Knowledge at Singapore Management University |
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1991 |
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https://ink.library.smu.edu.sg/lkcsb_research/4666 https://ink.library.smu.edu.sg/context/lkcsb_research/article/5665/viewcontent/event_variance_pv_1991.pdf |
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