A Fear Index to Predict Oil Futures Returns
Data
21.06.2013
21.06.2013
Autori
Julien Chevallier, Benoît Sévi
Codice JEL
C32, G17, Q47
C32, G17, Q47
Parole chiave:
Oil Futures, Variance Risk Premium, Forecasting
Oil Futures, Variance Risk Premium, Forecasting
Publisher
Energy: Resources and Markets
Energy: Resources and Markets
Editor
Giuseppe Sammarco
Giuseppe Sammarco
This paper evaluates the predictability of WTI light sweet crude oil futures by using the variance risk premium, i.e. the difference between model-free measures of implied and realized volatilities. Additional regressors known for their ability to explain crude oil futures prices are also considered, capturing macroeconomic, financial and oil-specific influences. The results indicate that the explanatory power of the (negative) variance risk premium on oil excess returns is particularly strong (up to 25% for the adjusted Rsquared across our regressions). It complements other financial (e.g. default spread) and oil-specific (e.g. US oil stocks) factors highlighted in previous literature.