Accessibility navigation


The importance of the volatility risk premium for volatility forecasting

Prokopczuk, M. and Wese Simen, C. (2014) The importance of the volatility risk premium for volatility forecasting. Journal of Banking and Finance, 40. pp. 303-320. ISSN 0378-4266

[img]
Preview
Text - Accepted Version
· Please see our End User Agreement before downloading.

296kB

To link to this item DOI: 10.1016/j.jbankfin.2013.12.002

Abstract/Summary

In this paper, we study the role of the volatility risk premium for the forecasting performance of implied volatility. We introduce a non-parametric and parsimonious approach to adjust the model-free implied volatility for the volatility risk premium and implement this methodology using more than 20 years of options and futures data on three major energy markets. Using regression models and statistical loss functions, we find compelling evidence to suggest that the risk premium adjusted implied volatility significantly outperforms other models, including its unadjusted counterpart. Our main finding holds for different choices of volatility estimators and competing time-series models, underlying the robustness of our results.

Item Type:Article
Refereed:Yes
Divisions:Henley Business School > ICMA Centre
ID Code:37069
Uncontrolled Keywords:Volatility forecasting; Volatility risk premium; Implied volatility
Publisher:Elsevier

Downloads

Downloads per month over past year

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation