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An Option Valuation Formula for Stochastic Volatility Driven by GARCH Processes
Mathematical Institute, University of Oxford, Oxford, United Kingdom
Shanghai Artificial Intelligence Laboratory, Shanghai, China
School of Mathematical Sciences, Peking University, Beijing, China
- 1 Mathematical Institute, University of Oxford, Oxford, United Kingdom
- 2 Shanghai Artificial Intelligence Laboratory, Shanghai, China
- 3 School of Mathematical Sciences, Peking University, Beijing, China
Journal of Mathematical Finance·Volume 13 (2023)·Pages 221–247·Published 12 May 2023·DOI10.4236/jmf.2023.132015
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Abstract
We have developed a practical and elegant closed-form option pricing formula for general GARCH models using a risk-neutral argument. To estimate the parameters, we propose a procedure and utilize Monte Carlo simulation to calculate the prices. Our formula has been successfully applied to S&P 500 index options and Chinese SSE 50 ETF options, providing empirical evidence that it outperforms the Black-Scholes formula with constant volatility in both the U.S. and Chinese financial markets. While there may be other equivalent martingale measures in this setting, our formula serves as a useful reference for pricing options.
KeywordsOption PricingStochastic VolatilityGARCHRisk Premia
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