Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/74757
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dc.contributor.authorPichayakone Rakphoen_US
dc.contributor.authorWoraphon Yamakaen_US
dc.contributor.authorSongsak Sriboonchittaen_US
dc.date.accessioned2022-10-16T06:48:58Z-
dc.date.available2022-10-16T06:48:58Z-
dc.date.issued2022-01-01en_US
dc.identifier.issn21984190en_US
dc.identifier.issn21984182en_US
dc.identifier.other2-s2.0-85135518714en_US
dc.identifier.other10.1007/978-3-030-97273-8_20en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85135518714&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/74757-
dc.description.abstractIn this study, six finance stocks traded in FTSE ASEAN 40 index (ASEAN market) are tested and analysed using the two-state Markov Switching Capital Asset Pricing Model (MS-CAPM). We consider eight MS-CAPM specifications including MSI-CAPM, MSIH-CAPM, MSIB-CAPM, MSIBH-CAPM, MSH-CAPM, MSB-CAPM, MSBH-CAPM and linear CAPM and the best specification of CAPM. We find that MSB-CAPM model (with switching beta risk parameter) is the best fit model for Vietnam, Indonesia, Malaysia and Singapore stock returns, MSBH-CAPM model (with switching beta parameter and heteroskedasticity) for Philippines stock return and MSIBH-CAPM model (with switching intercept term, beta parameter and heteroskedasticity) for Thailand stock return. These results confirm the heterogeneous structure of CAPM using Markov switching models.en_US
dc.subjectComputer Scienceen_US
dc.subjectDecision Sciencesen_US
dc.subjectEconomics, Econometrics and Financeen_US
dc.subjectEngineeringen_US
dc.subjectMathematicsen_US
dc.titleTesting CAPM Using Markov Switching Models: Application to ASEAN-6 Stock Marketsen_US
dc.typeBook Seriesen_US
article.title.sourcetitleStudies in Systems, Decision and Controlen_US
article.volume429en_US
article.stream.affiliationsChiang Mai Universityen_US
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