Modeling the Dynamics of Correlations among Implied Volatilities
Year: 2014
Type: article
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.
Source: European Finance Review
DOI: 10.1093/rof/rfu024
Authors: Robert Engle, Stephen Figlewski
Institution: New York University
Language: English
Subfield: Finance
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W3123053403
