TY - JOUR
T1 - Testing constancy of correlation and other specifications of the BGARCH model with an application to international equity returns
AU - Bera, Anil K.
AU - Kim, Sangwhan
PY - 2002
Y1 - 2002
N2 - One of the main ingredients in forming an international portfolio is the correlation matrix. The correlations represent the degree of interdependence across markets. With the recent globalization of markets and increased volatility, we can expect these correlations to change over time, and quite possibly to go up. However, the standard practice in modeling asset return dynamics is to assume constant correlation. This parameterization is simple, and it involves a relatively small number of parameters. However, the validity of this assumption remains an empirical question. This paper is concerned with developing a formal test for constancy of correlation, and applying it to financial markets of the USA, Japan, Germany, the UK, France and Italy.
AB - One of the main ingredients in forming an international portfolio is the correlation matrix. The correlations represent the degree of interdependence across markets. With the recent globalization of markets and increased volatility, we can expect these correlations to change over time, and quite possibly to go up. However, the standard practice in modeling asset return dynamics is to assume constant correlation. This parameterization is simple, and it involves a relatively small number of parameters. However, the validity of this assumption remains an empirical question. This paper is concerned with developing a formal test for constancy of correlation, and applying it to financial markets of the USA, Japan, Germany, the UK, France and Italy.
KW - Information matrix test
KW - Score test
KW - Stock returns
KW - Studentizing
KW - Time-varying correlations
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U2 - 10.1016/S0927-5398(01)00050-0
DO - 10.1016/S0927-5398(01)00050-0
M3 - Article
AN - SCOPUS:0036187145
SN - 0927-5398
VL - 9
SP - 171
EP - 195
JO - Journal of Empirical Finance
JF - Journal of Empirical Finance
IS - 2
ER -