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The role of US implied volatility index in forecasting Chinese stock market volatility: Evidence from HAR models

机译:美国暗示波动指数在中国股市波动预测中的作用:来自Har模型的证据

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摘要

The US implied volatility index (VIX) is a popular proxy for global financial market uncertainty. This paper aims to assess the role of this proxy in forecasting the Chinese stock market volatility, as China's globalization trend is strengthening. For this purpose, we develop six heterogeneous autoregressive (HAR) models allowing for VIX changes to forecast the Chinese stock market volatility. The in-sample and out-of-sample results show the VIX changes can improve the volatility forecasting in the Chinese stock market but mainly show improvement for the bad volatility forecasting rather than for good volatility forecasting. Additionally, such forecasting improvement is sizable at the short-run prediction horizon but weakens as the prediction horizon increases. Our results also remain robust by using alternative evaluation methods and alternative HAR models.
机译:美国隐含波动率指数(VIX)是全球金融市场不确定性的流行代理。 本文旨在评估该代理在预测中国股市波动中的作用,因为中国的全球化趋势加强。 为此目的,我们开发六种异构自我回归(HAR)模型,允许VIX改变以预测中国股市波动。 样品中和样品外的结果表明,VIX变化可以改善中国股票市场的波动性预测,而且主要表现出不良波动性预测而不是良好波动预测的改善。 另外,在短期预测地平线上可以达到这种预测改善,但随着预测地平线的增加而削弱。 我们的结果还通过使用替代评估方法和替代的HAR模型来稳健。

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