Predictable Dynamics in Higher-Order Risk-Neutral Moments: Evidence from the S&P 500 Options
研究了从标普500指数期权价格中提取的高阶风险中性矩是否存在可预测的动态模式，发现高阶矩可被统计预测，但仅1天前的偏度预测具有经济意义，且考虑交易成本后该意义消失。
Abstract We investigate whether there are predictable patterns in the dynamics of higher-order risk-neutral moments (RNMs) extracted from the market prices of Standard & Poor’s (S&P) 500 index options. To this end, we conduct a horse race among alternative forecasting models within an out-of-sample context over various forecasting horizons. We consider both a statistical and an economic setting. We find that higher RNMs can be statistically forecasted. However, only the 1-day-ahead skewness forecasts can be economically exploited. This economic significance vanishes once we incorporate transaction costs. The results have implications for the dynamics of implied volatility surfaces.