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首页> 外文期刊>Journal of Financial Econometrics >Measuring High-Frequency Causality Between Returns, Realized Volatility, and Implied Volatility
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Measuring High-Frequency Causality Between Returns, Realized Volatility, and Implied Volatility

机译:测量收益,实际波动率和隐含波动率之间的高频因果关系

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摘要

We provide evidence on two alternative mechanisms of interaction between returns and volatilities: the leverage ef fect and the volatility feedback effect. We stress the importance of distinguishing between realized volatility and implied volatility and find that implied volatilities are essential for assessing the volatility feedback effect. We also study the impact of news on returns and volatility. We introduce a concept of news based on the difference between implied and realized volatilities (the variance risk premium) and find that a positive variance risk premium has more impact on returns than a negative variance risk premium.
机译:我们提供关于收益率和波动率之间相互作用的两种替代机制的证据:杠杆效应和波动率反馈效应。我们强调区分实际波动率和隐含波动率的重要性,并发现隐含波动率对于评估波动率反馈效应至关重要。我们还研究了新闻对收益和波动性的影响。我们基于隐含波动率和实际波动率之间的差异(方差风险溢价)引入新闻概念,并发现正方差风险溢价对收益的影响大于负方差风险溢价。

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