Exploring Option Pricing and Hedging via Volatility Asymmetry

Isabel Casas () and Helena Veiga
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Isabel Casas: University of Deusto

Computational Economics, 2021, vol. 57, issue 4, No 3, 1015-1039

Abstract: Abstract This paper evaluates the application of two well-known asymmetric stochastic volatility (ASV) models to option price forecasting and dynamic delta hedging. They are specified in discrete time in contrast to the classical stochastic volatility models used in option pricing. There is some related literature, but little is known about the empirical implications of volatility asymmetry on option pricing. The objectives of this paper are to estimate ASV option pricing models using a Bayesian approach unknown in this type of literature, and to investigate the effect of volatility asymmetry on option pricing for different size equity sectors and periods of volatility. Using the S&P MidCap 400 and S&P 500 European call option quotes, results show that volatility asymmetry benefits the accuracy of option price forecasting and hedging cost effectiveness in the large-cap equity sector. However, ASV models do not improve the option price forecasting and dynamic hedging in the mid-cap equity sector.

Keywords: Delta hedging; Option; Stochastic volatility; Volatility asymmetry (search for similar items in EconPapers)
JEL-codes: C22 C51 C58 (search for similar items in EconPapers)
Date: 2021
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Working Paper: Exploring option pricing and hedging via volatility asymmetry (2019)
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DOI: 10.1007/s10614-020-10005-5

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