Appropriate Event Window Length in Event Studies

Event studies have found several applications in financial and accounting researches as the standard method to assess the average effect of some types of announcement on stock prices. In a large sample of announcements, event window length can be standardized (fixed) across observations, because the...

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Autores principales: Mohammad Hossein Ghaemi, Javad Masoumi
Formato: article
Lenguaje:FA
Publicado: Shahid Bahonar University of Kerman 2011
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Acceso en línea:https://doaj.org/article/fe8e0262542542e0a6d446221abb999d
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spelling oai:doaj.org-article:fe8e0262542542e0a6d446221abb999d2021-11-04T19:41:02ZAppropriate Event Window Length in Event Studies2008-89142476-292X10.22103/jak.2011.17https://doaj.org/article/fe8e0262542542e0a6d446221abb999d2011-06-01T00:00:00Zhttps://jak.uk.ac.ir/article_17_ea1a212609503416c4701f9f7caffbdd.pdfhttps://doaj.org/toc/2008-8914https://doaj.org/toc/2476-292XEvent studies have found several applications in financial and accounting researches as the standard method to assess the average effect of some types of announcement on stock prices. In a large sample of announcements, event window length can be standardized (fixed) across observations, because the errors from having too long or too short event window should have small impact in average by the Law of Large Numbers. But in small samples (in emerging markets) we cannot use this procedure. Here, we examine various potential rules for determining the length of an event window when looking at limited number of observations. We consider the announcements of adjustment of predicted earnings (by companies) in Tehran Stock Exchange during 1386 to 1388. To determining the length of time period affecting the market, tree methods are used. We also examine the relationship between the length of event window and the amount of unexpected earnings.Mohammad Hossein GhaemiJavad MasoumiShahid Bahonar University of Kermanarticleevent studyevent windowabnormal returntehran stock exchangeAccounting. BookkeepingHF5601-5689FAمجله دانش حسابداری, Vol 2, Iss 6, Pp 7-25 (2011)
institution DOAJ
collection DOAJ
language FA
topic event study
event window
abnormal return
tehran stock exchange
Accounting. Bookkeeping
HF5601-5689
spellingShingle event study
event window
abnormal return
tehran stock exchange
Accounting. Bookkeeping
HF5601-5689
Mohammad Hossein Ghaemi
Javad Masoumi
Appropriate Event Window Length in Event Studies
description Event studies have found several applications in financial and accounting researches as the standard method to assess the average effect of some types of announcement on stock prices. In a large sample of announcements, event window length can be standardized (fixed) across observations, because the errors from having too long or too short event window should have small impact in average by the Law of Large Numbers. But in small samples (in emerging markets) we cannot use this procedure. Here, we examine various potential rules for determining the length of an event window when looking at limited number of observations. We consider the announcements of adjustment of predicted earnings (by companies) in Tehran Stock Exchange during 1386 to 1388. To determining the length of time period affecting the market, tree methods are used. We also examine the relationship between the length of event window and the amount of unexpected earnings.
format article
author Mohammad Hossein Ghaemi
Javad Masoumi
author_facet Mohammad Hossein Ghaemi
Javad Masoumi
author_sort Mohammad Hossein Ghaemi
title Appropriate Event Window Length in Event Studies
title_short Appropriate Event Window Length in Event Studies
title_full Appropriate Event Window Length in Event Studies
title_fullStr Appropriate Event Window Length in Event Studies
title_full_unstemmed Appropriate Event Window Length in Event Studies
title_sort appropriate event window length in event studies
publisher Shahid Bahonar University of Kerman
publishDate 2011
url https://doaj.org/article/fe8e0262542542e0a6d446221abb999d
work_keys_str_mv AT mohammadhosseinghaemi appropriateeventwindowlengthineventstudies
AT javadmasoumi appropriateeventwindowlengthineventstudies
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