An Empirical Analysis of the Dependence Structure of International Equity and Bond Markets Using Regime-switching Copula Model
In this paper, we perform an empirical analysis of the dependence structure of international equity and bond markets using the regime-switching copula model. In equity markets, it is observed that negative returns are more strongly dependent than positive returns. This phenomenon is known as asymmet...
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description | In this paper, we perform an empirical analysis of the dependence structure of international equity and bond markets using the regime-switching copula model. In equity markets, it is observed that negative returns are more strongly dependent than positive returns. This phenomenon is known as asymmetric dependence. The regime-switching copula model, which includes symmetric and asymmetric regimes, is suitable for describing asymmetry. We apply two kinds of flexible multivariate copulas, a skew t copula and a vine copula, to the asymmetric regime to deal with dependencies between two asset classes. In this paper, we analyze three country pairs: the United Kingdom and United States (UK-US), Japan-US, and Italy-US. We find three implications of our empirical analysis. First, highly dependent regimes are different according to the asset pairs. Second, the strength of the asymmetry of each country pair varies, and that of the Japan-US pair is weak. Third, the skew t copula is a better fit to the data, but is not flexible enough to capture extreme dependencies, while the vine copula fits well in spite of having fewer parameters, but cannot express the different extreme dependencies of each asset pair. |
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In equity markets, it is observed that negative returns are more strongly dependent than positive returns. This phenomenon is known as asymmetric dependence. The regime-switching copula model, which includes symmetric and asymmetric regimes, is suitable for describing asymmetry. We apply two kinds of flexible multivariate copulas, a skew t copula and a vine copula, to the asymmetric regime to deal with dependencies between two asset classes. In this paper, we analyze three country pairs: the United Kingdom and United States (UK-US), Japan-US, and Italy-US. We find three implications of our empirical analysis. First, highly dependent regimes are different according to the asset pairs. Second, the strength of the asymmetry of each country pair varies, and that of the Japan-US pair is weak. Third, the skew t copula is a better fit to the data, but is not flexible enough to capture extreme dependencies, while the vine copula fits well in spite of having fewer parameters, but cannot express the different extreme dependencies of each asset pair.</description><identifier>ISSN: 1992-9978</identifier><identifier>EISSN: 1992-9986</identifier><language>eng</language><publisher>Hong Kong: International Association of Engineers</publisher><subject>Asymmetry ; Bond markets ; Dependence ; Economic models ; Empirical analysis ; Equity ; Foreign exchange markets ; International finance ; Markets ; Parameter estimation ; Random variables ; Researchers ; Stochastic models ; Switching ; Time series</subject><ispartof>IAENG international journal of applied mathematics, 2018-05, Vol.48 (2), p.1-15</ispartof><rights>Copyright International Association of Engineers May 28, 2018</rights><rights>2018. 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Imai, Junichi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p566-d2a515819460d4198906377bac3828b89fc3e558631b8c9611984f9e077cf0893</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Asymmetry</topic><topic>Bond markets</topic><topic>Dependence</topic><topic>Economic models</topic><topic>Empirical analysis</topic><topic>Equity</topic><topic>Foreign exchange markets</topic><topic>International finance</topic><topic>Markets</topic><topic>Parameter estimation</topic><topic>Random variables</topic><topic>Researchers</topic><topic>Stochastic models</topic><topic>Switching</topic><topic>Time series</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Otani, Yuko</creatorcontrib><creatorcontrib>Imai, Junichi</creatorcontrib><collection>Computer and Information Systems Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Database (1962 - current)</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Computer science database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>IAENG international journal of applied mathematics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Otani, Yuko</au><au>Imai, Junichi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An Empirical Analysis of the Dependence Structure of International Equity and Bond Markets Using Regime-switching Copula Model</atitle><jtitle>IAENG international journal of applied mathematics</jtitle><date>2018-05-28</date><risdate>2018</risdate><volume>48</volume><issue>2</issue><spage>1</spage><epage>15</epage><pages>1-15</pages><issn>1992-9978</issn><eissn>1992-9986</eissn><abstract>In this paper, we perform an empirical analysis of the dependence structure of international equity and bond markets using the regime-switching copula model. In equity markets, it is observed that negative returns are more strongly dependent than positive returns. This phenomenon is known as asymmetric dependence. The regime-switching copula model, which includes symmetric and asymmetric regimes, is suitable for describing asymmetry. We apply two kinds of flexible multivariate copulas, a skew t copula and a vine copula, to the asymmetric regime to deal with dependencies between two asset classes. In this paper, we analyze three country pairs: the United Kingdom and United States (UK-US), Japan-US, and Italy-US. We find three implications of our empirical analysis. First, highly dependent regimes are different according to the asset pairs. Second, the strength of the asymmetry of each country pair varies, and that of the Japan-US pair is weak. Third, the skew t copula is a better fit to the data, but is not flexible enough to capture extreme dependencies, while the vine copula fits well in spite of having fewer parameters, but cannot express the different extreme dependencies of each asset pair.</abstract><cop>Hong Kong</cop><pub>International Association of Engineers</pub><tpages>15</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Asymmetry Bond markets Dependence Economic models Empirical analysis Equity Foreign exchange markets International finance Markets Parameter estimation Random variables Researchers Stochastic models Switching Time series |
title | An Empirical Analysis of the Dependence Structure of International Equity and Bond Markets Using Regime-switching Copula Model |
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