Inferring volatility dynamics and risk premia from the S&P 500 and VIX markets

A-Tier
Journal: Journal of Financial Economics
Year: 2019
Volume: 131
Issue: 3
Pages: 593-618

Authors (3)

Bardgett, Chris (not in RePEc) Gourier, Elise (not in RePEc) Leippold, Markus (Universität Zürich)

Score contribution per author:

1.341 = (α=2.01 / 3 authors) × 2.0x A-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

We estimate a flexible affine model using an unbalanced panel containing S&P 500 and VIX index returns and option prices and analyze the contribution of VIX options to the model’s in- and out-of-sample performance. We find that they contain valuable information on the risk-neutral conditional distributions of volatility at different time horizons, which is not spanned by the S&P 500 market. This information allows enhanced estimation of the variance risk premium. We gain new insights on the term structure of the variance risk premium, present a trading strategy exploiting these insights, and show how to improve S&P 500 return forecasts.

Technical Details

RePEc Handle
repec:eee:jfinec:v:131:y:2019:i:3:p:593-618
Journal Field
Finance
Author Count
3
Added to Database
2026-01-25