Modeling the Dynamics of Correlations among Implied Volatilities

B-Tier
Journal: Review of Finance
Year: 2015
Volume: 19
Issue: 3
Pages: 991-1018

Authors (2)

Robert Engle (New York University (NYU)) Stephen Figlewski (not in RePEc)

Score contribution per author:

1.005 = (α=2.01 / 2 authors) × 1.0x B-tier

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

Abstract

Implied volatility (IV) reflects both expected empirical volatility and also risk premia. Stochastic variation in either creates unhedged risk in a delta hedged options position. We develop EGARCH/DCC models for the dynamics of volatilities and correlations among daily IVs from options on twenty-eight large cap stocks. The data strongly support a general correlation structure and also a one-factor model with the VIX index as the common factor. Using IVs from stocks that are either highly correlated with the target stock’s IV or in the same industry together with the VIX can significantly improve hedging of individual IV changes.

Technical Details

RePEc Handle
repec:oup:revfin:v:19:y:2015:i:3:p:991-1018.
Journal Field
Finance
Author Count
2
Added to Database
2026-01-25