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【经管院每周系列讲座第263期】Forecasting the Term Structure of Implied Volatilities

西南财经大学 免费考研网/2015-12-22

Title: Forecasting the Term Structure of Implied Volatilities

Speaker: Qian Han, Xiamen University

Host: Lin Huang, Associate professor, RIEM

Time: 14:30-16:00, March 20, Friday

Venue: Yide Building H503, Liulin Campus


Abstract: Neumann and Skiadopoulos (2013) document that although the implied volatilities are predictable, their economic profits become insignificant once the cost is accounted for. In this study we show that the trading strategies based on the predictability of implied volatilities could generate significant risk-adjusted returns after controlling for the transaction cost. The results show that implied volatility curve information is useful for the out-of-sample forecast of implied volatilities with different maturities up to one week when daily data are used. Short-maturity implied volatilities tend to be more predictable than long-maturity implied volatilities. Further analysis shows that although the long-maturity options are much less traded than the short-maturity options, their implied volatilities provide much more important information on the price discovery of term structure of implied volatilities.



Keywords: out-of-sample forecast; implied volatility; economic significance; price discovery; market efficiency.

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