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dc.contributor.authorNisara Wongutaien_US
dc.contributor.authorWoraphon Yamakaen_US
dc.contributor.authorRoengchai Tansuchaten_US
dc.date.accessioned2018-09-05T04:26:13Z-
dc.date.available2018-09-05T04:26:13Z-
dc.date.issued2018-01-01en_US
dc.identifier.issn16113349en_US
dc.identifier.issn03029743en_US
dc.identifier.other2-s2.0-85043993351en_US
dc.identifier.other10.1007/978-3-319-75429-1_36en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85043993351&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/58556-
dc.description.abstract© 2018, Springer International Publishing AG, part of Springer Nature. In this study, we employ an international version of the Capital Asset Pricing Model (ICAPM) to measure and examine the relationship between each of the 13 European national real estate returns and the European stock market returns over the period from January 1999 to December 2016. Our measure of this relationship is the time-varying European real estate beta, which is an index of European real estate’s systematic risk. This time varying beta of the ICAPM for a country’s real estate market is computed by the ratio of the covariance between the expected returns of each country and the European stock market portfolio to the variance of the expected returns on the European stock market portfolio. For this purpose, we first find the location of the crisis and period in time using a Markov Switching approach, Then the AR(1)-GJR(1)- Dynamic Conditional Correlation model is estimated to obtain both covariance and variance of each pair return.en_US
dc.subjectComputer Scienceen_US
dc.subjectMathematicsen_US
dc.titleEuropean Real Estate Risk and Spillovers: Regime Switching Approachen_US
dc.typeBook Seriesen_US
article.title.sourcetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)en_US
article.volume10758 LNAIen_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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