2001Mathematical FinanceRequires access

Stochastic Volatility and Epsilon-Martingale Decomposition

Jean‐Pierre Fouque, George Papanicolaou, Ronnie Sircar

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Abstract

We address the problems of pricing and hedging derivative securities in an environment of uncertain and changing market volatility. We show that when volatility is stochastic but fast mean reverting Black-Scholes pricing theory can be corrected. The correction accounts for the effect of stochastic volatility and the associated market price of risk. For European derivatives it is given by explicit formulas which involve parsimonous parameters directly calibrated from the implied volatility surface. The method presented here is based on a martingale decomposition result which enables us to treat nonMarkovian models as well. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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What this paper is about

We address the problems of pricing and hedging derivative securities in an environment of uncertain and changing market volatility. We show that when volatility is stochastic but fast mean reverting Black-Scholes pricing theory can be corrected. The correction accounts for the effect of stochastic volatility and the associated market price of risk. For European derivatives it is given by explicit formulas which involve parsimonous parameters directly calibrated from the implied volatility surface. The method presented here is based on a martingale decomposition result which enables us to treat nonMarkovian models as well. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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OpenAlex reports 9 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

We address the problems of pricing and hedging derivative securities in an environment of uncertain and changing market volatility. We show that when volatility is stochastic but fast mean reverting Black-Scholes pricing theory can be corrected. The correction accounts for the effect of stochastic volatility and the associated market price of risk. For European derivatives it is given by explicit formulas which involve parsimonous parameters directly calibrated from the implied volatility surface. The method presented here is based on a martingale decomposition result which enables us to treat nonMarkovian models as well. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Key concepts: Stochastic volatility, Martingale (probability theory), Martingale pricing, Implied volatility, Volatility (finance), Volatility smile, Econometrics, Economics

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