TY - JOUR
T1 - New evidence of asymmetric dependence structures in international equity markets
AU - Okimoto, Tatsuyoshi
N1 - Funding Information:
∗Okimoto, tokimoto@ics.hit-u.ac.jp, Graduate School of International Corporate Strategy, Hito-tsubashi University, National Center of Sciences, 2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8439, Japan. This paper is a revised version of Chapter I of my Ph.D. dissertation written at the University of California, San Diego. I am indebted to James Hamilton for his guidance and helpful discussion. I am also grateful to Stephen Brown (the editor) and Andrew Patton (the referee) for thoughtful comments and suggestions. I thank Takeo Hoshi, Hidehiko Ichimura, Naoto Kunitomo, Bruce Lehmann, Ya-suhiro Omori, Yixiao Sun, Allan Timmermann, and seminar participants at the University of Tokyo, the YNU and Nanzan University finance workshop, and the KKKK annual meeting at Kobe University for their valuable comments. Research for this paper was financed by the Japanese Ministry of Education through a Grant-in-Aid for Scientific Research.
PY - 2008/9
Y1 - 2008/9
N2 - A number of recent studies finds two asymmetries in dependence structures in international equity markets; specifically, dependence tends to be high in both highly volatile markets and in bear markets. In this paper, a further investigation of asymmetric dependence structures in international equity markets is performed by using the Markov switching model and copula theory. Combining these two theories enables me to model dependence structures with sufficient flexibility. Using this flexible framework, I indeed find that there are two distinct regimes in the U.S.-U.K. market. I also show that for the U.S.-U.K. market the bear regime is better described by an asymmetric copula with lower tail dependence with clear rejection of the Markov switching multivariate normal model. In addition, I show that ignorance of this further asymmetry in bear markets is very costly for risk management. Lastly, I conduct a similar analysis for other G7 countries, where I find other cases in which the use of a Markov switching multivariate normal model would be inappropriate.
AB - A number of recent studies finds two asymmetries in dependence structures in international equity markets; specifically, dependence tends to be high in both highly volatile markets and in bear markets. In this paper, a further investigation of asymmetric dependence structures in international equity markets is performed by using the Markov switching model and copula theory. Combining these two theories enables me to model dependence structures with sufficient flexibility. Using this flexible framework, I indeed find that there are two distinct regimes in the U.S.-U.K. market. I also show that for the U.S.-U.K. market the bear regime is better described by an asymmetric copula with lower tail dependence with clear rejection of the Markov switching multivariate normal model. In addition, I show that ignorance of this further asymmetry in bear markets is very costly for risk management. Lastly, I conduct a similar analysis for other G7 countries, where I find other cases in which the use of a Markov switching multivariate normal model would be inappropriate.
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U2 - 10.1017/S0022109000004294
DO - 10.1017/S0022109000004294
M3 - Article
AN - SCOPUS:53549121720
VL - 43
SP - 787
EP - 815
JO - Journal of Financial and Quantitative Analysis
JF - Journal of Financial and Quantitative Analysis
SN - 0022-1090
IS - 3
ER -