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An analytical approximation for single barrier options under stochastic volatility models
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An analytical approximation for single barrier options under stochastic volatility models
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An analytical approximation for single barrier options under stochastic volatility models
An analytical approximation for single barrier options under stochastic volatility models
Journal Article

An analytical approximation for single barrier options under stochastic volatility models

2018
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Overview
The aim of this paper is to derive an approximation formula for a single barrier option under local volatility models, stochastic volatility models, and their hybrids, which are widely used in practice. The basic idea of our approximation is to mimic a target underlying asset process by a polynomial of the Wiener process. We then translate the problem of solving first hit probability of the asset process into that of a Wiener process whose distribution of passage time is known. Finally, utilizing the Girsanov’s theorem and the reflection principle, we show that single barrier option prices can be approximated in a closed-form. Furthermore, ample numerical examples will show the accuracy of our approximation is high enough for practical applications.