Hedge ratio on Markov regime-switching diagonal Bekk-Garch model

被引:18
|
作者
Yan Zhipeng [1 ]
Li Shenghong [1 ]
机构
[1] Zhejiang Univ, Sch Math Sci, 38 Zheda Rd, Hangzhou 310027, Zhejiang, Peoples R China
基金
中国国家自然科学基金;
关键词
Stock index futures; Hedge ratio; Regime-switching; Garch models; FUTURES MARKETS; VOLATILITY; VARIANCE;
D O I
10.1016/frl.2017.06.015
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
China's stock market is known with quick change and violent fluctuation in recent years. This paper develops a Markov regime switching diagonal Bekk-Garch model, enabling parameters to be state dependent upon the regime of market. The empirical results show that different states exist. The high volatility regime has a lower state probability, while the low volatility regime has a higher state probability. The likelihood value show the regime switching diagonal Bekk-Garch model fits the sample better. Both comparisons of hedge performance in and out-of-sample indicate that a regime-switching Bekk-Garch model is the optimal hedge strategy, followed by Bekk-Garch and OLS model. (C) 2017 Elsevier Inc. All rights reserved.
引用
收藏
页码:49 / 55
页数:7
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