Previous studies of the quality of market-forecasted volatility have used the volatility that is implied by exchange-traded option prices. The use of implied volatility in estimating the market view of future volatility has suffered from variable measurement errors, such as the non-synchronization of option and underlying asset prices, the expiration-day effect, and the The authors thank Yong Cher for his research assistance, and Louis Ederington, Michael Melvin, Lilian Ng, Gunter Dufey, Robin Grieves, Phillipe Chen, the participants at the CREFS workshop at the Nanyang Business School, and those at the 2001 FMA Annual Meeting in Toronto for their helpful comments. The authors also thank the Journal of Futures Markets editor, Robert I. Webb, and an anonymous referee for helpful comments. Support for this project was provided by the CREFS at the Nanyang Business School. Campa and Chang (1995) also employed quoted implied volatility in their study. However, their objective differed from this study in that they investigated whether forward quoted implied volatility had any predictive power for future quoted implied volatility. Their data was supplied by a major commercial bank. The data that is employed in this study was obtained from Bloomberg, which collected them from major quoting banks. volatility smile effect. This study circumvents these problems by using the quoted implied volatility from the over-the-counter (OTC) currency option market, in which traders quote prices in terms of volatility. Furthermore, the OTC currency options have daily quotes for standard maturities, which allows the study to look at the market's ability to forecast future volatility for different horizons. The study finds that quoted implied volatility subsumes the information content of historically based forecasts at shorter horizons, and the former is as good as the latter at longer horizons. These results are consistent with the argument that measurement errors have a substantial effect on the implied volatility estimator and the quality of the inferences that are based on it.
This study employs a non-parametric approach to investigate the volatility risk premium in the over-the-counter currency option market. Using a large database of daily delta-neutral straddle quotes in four major currencies—the British pound, the euro, the Japanese yen, and the Swiss franc—we find that volatility risk is priced in all four currencies across different option maturities. We find that the volatility risk premium is negative, with the premium decreasing in maturity. Finally, we also find evidence that jump risk may be priced in the currency option market.
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