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Dynamic Relatedness Analysis of the Exchange Rate and the Stock Market Returns' Volatility with a Factor of U.S. Stock Market Returns: An Evidence Study of Thailand Country

机译:汇率和股市的动态相关性分析与美国股票市场返回的因素返回波动率:泰国国家的证据研究

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This paper studies the relatedness and the model construction of exchange rate volatility and the Thailand's stock market returns with a factor of U.S. stock market returns. Empirical results show that we can construct a bivariate IGARCH(1, 1) model with a dynamic conditional correlation (DCC) to analyze the relationship of exchange rate volatility and Thailand's stock market returns. The average estimation value of the DCC coefficient for these two markets equals to -0.1506, this result indicates that the exchange rate volatility negatively affects the Thailand's stock market. Empirical result also shows that there do not exist the asymmetrical effect on the exchange rate and Thailand's stock markets. And the U.S. stock return volatility truly affects the variation risks of the exchange rate and Thailand stock markets. Based on the viewpoint of DCC, the bivariate IGARCH(1, 1) model with a DCC has the better explanation ability compared to the traditional bivariate GARCH(1, 1) model.
机译:本文研究了汇率波动性的相关性和模型建设,泰国股市回报与美国股票市场回报率。经验结果表明,我们可以用动态条件相关性(DCC)来构建一款双变量Igarch(1,1)模型,以分析汇率波动率和泰国股市回报的关系。这两个市场的DCC系数的平均估计值等于-0.1506,这结果表明汇率波动对泰国的股市产生负面影响。经验结果还表明,不存在对汇率和泰国股市的不对称影响。和美国股票回报波动真实地影响了汇率和泰国股市的变异风险。基于DCC的观点,与传统的双变量GARCH(1,1)模型相比,具有DCC的双变量Igarch(1,1)模型具有更好的解释能力。

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