An Event Study Analysis of Thailand¡¯s 2019 General Election: A Long Window of Multiple Sub-events
Anya Khanthavit
International Journal of Financial Research, 2020, vol. 11, issue 4, 502-514
Abstract:
This study extends the conditional regression model for event study analyses to include sub-events related to the events under investigation. The extended model ensures that all relevant sub-events are included in the event window and their significant effects are not averaged out. The model is applied to analyze the effects of Thailand¡¯s 2019 general election on stock market performance. Information on the election day and the sub-event days before and after the election day contributed to the significant election effects. The inclusion of sub-events in the analysis is important and useful.
Keywords: conditional regression; market efficiency; return behavior (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciedu.ca/journal/index.php/ijfr/article/view/18417/11303 (application/pdf)
http://www.sciedu.ca/journal/index.php/ijfr/article/view/18417 (text/html)
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:jfr:ijfr11:v:11:y:2020:i:4:p:502-514
DOI: 10.5430/ijfr.v11n4p502
Access Statistics for this article
International Journal of Financial Research is currently edited by Gina Perry
More articles in International Journal of Financial Research from International Journal of Financial Research, Sciedu Press
Bibliographic data for series maintained by Gina Perry ().