Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/71874
Full metadata record
DC FieldValueLanguage
dc.contributor.authorKunsuda Nimanussornkulen_US
dc.contributor.authorChaiwat Nimanussornkulen_US
dc.date.accessioned2021-01-27T04:16:56Z-
dc.date.available2021-01-27T04:16:56Z-
dc.date.issued2021-01-01en_US
dc.identifier.issn18609503en_US
dc.identifier.issn1860949Xen_US
dc.identifier.other2-s2.0-85089901407en_US
dc.identifier.other10.1007/978-3-030-49728-6_21en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85089901407&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/71874-
dc.description.abstract© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG. This paper investigates the effect of loss aversion behavior, by adapting the loss aversion utility function of Berkelaar et al.[3], and taking into account the US-China trade war, on the herding behavior in the Stock Exchange of Thailand. It used the daily data from 01/04/2010 to 05/31/2019 for estimation using Ordinary Least Squares and Quantile Regression. The results did not report the herding behavior in the Stock Exchange of Thailand in both upward and downward trends of the market. The testing of the effect of loss aversion bias on herding behavior revealed the loss aversion to have effect on the herding behavior in some industries when the returns are high. Furthermore, the US-China trade war has a bearing herding behavior in some industries.en_US
dc.subjectComputer Scienceen_US
dc.titleHerding behavior from loss aversion effect in the stock exchange of thailanden_US
dc.typeBook Seriesen_US
article.title.sourcetitleStudies in Computational Intelligenceen_US
article.volume897en_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

Files in This Item:
There are no files associated with this item.


Items in CMUIR are protected by copyright, with all rights reserved, unless otherwise indicated.