A multivariate Skew-GARCH model

被引:24
作者
De Luca, G [1 ]
Genton, MG
Loperfido, N
机构
[1] Univ Naples, Naples, Italy
[2] Texas A&M Univ, College Stn, TX USA
[3] Univ Urbino, I-61029 Urbino, Italy
来源
ECONOMETRIC ANALYSIS OF FINANCIAL AND ECONOMIC TIME SERIES | 2006年 / 20卷
关键词
D O I
10.1016/S0731-9053(05)20002-6
中图分类号
F [经济];
学科分类号
02 ;
摘要
Empirical research on European stock markets has shown that they behave differently according to the performance of the leading financial market identified as the US market. A positive sign is viewed as good news in the international financial markets, a negative sign means, conversely, bad ne vs. As a result, we assume that European stock market returns are affected by endogenous and exogenous shocks. The former raise in the market itself the latter come from the US market, because of its most influential role in the world. Under standard assumptions, the distribution of the European market index returns conditionally on the sign of the one-day lagged US return is skew-normal. The resulting model is denoted Skew-GARCH. We study the properties of this new model and illustrate its application to time-series data from three European financial markets.
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页码:33 / 57
页数:25
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