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Shock-dependent conditional skewness in international aggregate stock markets

机译:国际股票市场中与冲击有关的条件偏度

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This article uses the Su-normal distribution to model the dynamic behavior of skewness in ten international aggregate stock indices—five indices each from developed and emerging markets. The conditional skewness process is specified as both autoregressive and dependent on lagged return shocks. Our primary result is that a negative return shock skews the time-varying distribution to the right for mature markets but to the left for emerging markets. In addition, we find that the asymmetry in volatility is noticeably larger in developed markets than in emerging markets. Finally, including the skewness process in modeling has no effect on the asymmetry and persistence in volatility obtained. These results are different from those of previous studies, which demonstrate the existence of both effects.
机译:本文使用Su正态分布来模拟十种国际总体股票指数中的偏度动态行为,其中五种指数分别来自发达市场和新兴市场。条件偏斜过程被指定为自回归并且依赖于滞后返回冲击。我们的主要结果是,负回报冲击使时变分布向成熟市场的右侧倾斜,而向新兴市场的左侧倾斜。此外,我们发现,发达市场的波动不对称性明显大于新兴市场。最后,在模型中包括偏度过程对获得的波动性的不对称性和持久性没有影响。这些结果与以前的研究不同,后者证明了这两种效应的存在。

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