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Predictable Dynamics in Higher-Order Risk-Neutral Moments: Evidence from the S&P 500 Options

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  • Neumann, Michael
  • Skiadopoulos, George

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.

Suggested Citation

  • Neumann, Michael & Skiadopoulos, George, 2013. "Predictable Dynamics in Higher-Order Risk-Neutral Moments: Evidence from the S&P 500 Options," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 48(3), pages 947-977, June.
    • Handle: RePEc:cup:jfinqa:v:48:y:2013:i:03:p:947-977_00
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