波动性(金融)
隐含波动率
经济
计量经济学
已实现方差
波动率互换
自回归模型
波动微笑
金融经济学
远期波动率
股市波动
股票市场
波动性风险溢价
生物
古生物学
马
作者
Chao Liang,Yu Wei,Yaojie Zhang
摘要
Abstract Inspired by the commonly held view that international stock market volatility is equivalent to cross‐market information flow, we propose various ways of constructing two types of information flow, based on realized volatility (RV) and implied volatility (IV), in multiple international markets. We focus on the RVs derived from the intraday prices of eight international stock markets and use a heterogeneous autoregressive framework to forecast the future volatility of each market for 1 day to 22 days ahead. Our Diebold‐Mariano tests provide strong evidence that information flow with IV enhances the accuracy of forecasting international RVs over all of the prediction horizons. The results of a model confidence set test show that a market's own IV and the first principal component of the international IVs exhibit the strongest predictive ability. In addition, the use of information flows with IV can further increase economic returns. Our results are supported by the findings of a wide range of robustness checks.
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