Gael M. Martin
;
Andrew Reidy
;
Jill Wright

does the option market produce superior forecasts of noise-corrected volatility measures? (replication data)

This paper assesses the robustness of the relative performance of spot? and options-based volatility forecasts to the treatment of microstructure noise. Robustness of the results to the method of constructing option-implied forecasts is also investigated. Using a test for superior predictive ability, model-free implied volatility, which exploits information in the volatility smile, and at-the-money implied volatility, which does not, are both tested as benchmark forecasts of a range of alternative volatility proxies. The results provide compelling evidence against the model-free forecast for three Dow Jones Industrial Average stocks, over a 2001-2006 evaluation period. In contrast, the at-the-money implied volatility forecast is given strong support for the three equities over this period. Neither benchmark is supported for the S&P500 index. Importantly, the main qualitative results are invariant to the method of noise correction used in measuring future volatility.

Data and Resources

Suggested Citation

Martin, Gael M.; Reidy, Andrew; Wright, Jill (2009): Does the option market produce superior forecasts of noise-corrected volatility measures? (replication data). Version: 1. Journal of Applied Econometrics. Dataset. http://dx.doi.org/10.15456/jae.2022319.1304826343