论文从S&P500指数期权数据中提取出波动率偏斜与风险中性偏度指标,采用Logistic模型研究了波动率偏斜/风险中性偏度是否对未来真实的市场尾部风险具有预测力.结果发现,波动率偏斜/风险中性偏度仅含有未来市场尾部风险的一定信息,但并不能准确预测未来市场尾部风险发生的状态.相反,波动率偏斜/风险中性偏度与投资者情绪指标显著相关.
The paper extracts the implied volatility skew and the risk-neutral skewness from the S&P500 index option data and uses the logistic model to explore whether the volatility skew and the risk-neutral skewness are good estimators of future tail risk. The results show that both contain some information about future tail risk but cannot predict it accurately. Instead, the volatility skew and the risk-neutral skewness are both significantly correlated with investor sentiments.