Hedging Options in a GARCH Environment: Testing the Term Structure of Stochastic Volatility Models
Robert Engle and
Joshua Rosenberg ()
No 4958, NBER Working Papers from National Bureau of Economic Research, Inc
This paper develops a methodology for testing the term structure of volatility forecasts derived from stochastic volatility models, and implements it to analyze models of S&P 500 index volatility. Volatility models are compared by their ability to hedge options positions sensitive to the term structure of volatility. Overall, the most effective hedge is a Black-Scholes (BS) delta-gamma hedge, while the BS delta-vega hedge is the least effective. The most successful volatility hedge is GARCH components delta-gamma, suggesting that the GARCH components estimate of the term structure of volatility is most accurate. The success of the BS delta-gamma hedge may be due to mispricing in the options market over the sample period.
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Published as "Bayesian Analysis of Stochastic Volatility Models: Comment", JBES, Vol. 12, no. 4 (1994): 395-396.
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Persistent link: https://EconPapers.repec.org/RePEc:nbr:nberwo:4958
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