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dc.contributor.authorSukrit Thongkairaten_US
dc.contributor.authorWoraphon Yamakaen_US
dc.contributor.authorSongsak Sriboonchittaen_US
dc.date.accessioned2019-08-05T04:35:07Z-
dc.date.available2019-08-05T04:35:07Z-
dc.date.issued2019-01-01en_US
dc.identifier.issn16113349en_US
dc.identifier.issn03029743en_US
dc.identifier.other2-s2.0-85064211684en_US
dc.identifier.other10.1007/978-3-030-14815-7_15en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85064211684&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/65539-
dc.description.abstract© Springer Nature Switzerland AG 2019. This study revisits the question of whether or not gold offers a hedging benefit for stock returns. Thus, we examine this benefit in terms of conditional co-skewness in which relate to the selected stock markets, conditional beta risk, and correlation. We use two-step approach to assess the impact of these factors, including Shanghai, GDAXI, FTSE100, S&P500, and Nikkei225 stock index returns. We firstly estimate the Markov-Switching Dynamic Conditional Correlation GARCH (MS-DCC-GARCH) to obtain the correlation, volatility, and covariance which we further use in co-skewness and beta risk computation. In the second step, the linear regression is employed to investigate the effect of the co-skewness and beta risk on stock returns and examine hedging benefit of gold on stocks. We find some evidences that gold can be acted as a safe haven asset for some major stock markets.en_US
dc.subjectComputer Scienceen_US
dc.subjectMathematicsen_US
dc.titleHedging benefit of safe-haven gold in terms of co-skewness and covariance in stock marketen_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.volume11471 LNAIen_US
article.stream.affiliationsChiang Mai Universityen_US
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