Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Volatility forecasts embedded in the prices of crude-oil options

Gilder, Dudley and Tsiaras, Leonidas 2020. Volatility forecasts embedded in the prices of crude-oil options. Journal of Futures Markets 40 (7) , pp. 1127-1159. 10.1002/fut.22114

[thumbnail of OilVolatilityForecasting_JFM.pdf]
PDF - Accepted Post-Print Version
Download (591kB) | Preview


This paper evaluates and compares the ability of alternative option-implied volatility measures to forecast the monthly realized volatility of crude-oil returns. We find that a corridor implied volatility measure that aggregates information from a narrow range of option contracts consistently outperforms forecasts obtained by the popular Black-Scholes and model-free volatility expectations, as well as those generated by a high-frequency realized volatility model. In particular, this measure ranks favorably in all regression-based tests, delivers the lowest forecast errors under either symmetric or asymmetric loss functions, and generates economically significant gains in volatility timing exercises. We also find that that the CBOE's ``oil-VIX'' (OVX) index performs poorly, as it routinely produces the least accurate forecasts. Our narrow corridor measure continues to outperform other alternatives when we construct volatility forecasts using options on the United States Oil Fund (USO), i.e. the ETF that underlies the calculation of the OVX.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Business (Including Economics)
Publisher: Wiley
ISSN: 0270-7314
Date of First Compliant Deposit: 2 June 2020
Date of Acceptance: 26 February 2020
Last Modified: 14 May 2022 00:00

Actions (repository staff only)

Edit Item Edit Item


Downloads per month over past year

View more statistics