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An analytical approximation for single barrier options under stochastic volatility models
by
Funahashi, Hideharu
, Higuchi, Tomohide
in
Approximation
/ Mathematical analysis
/ Monte Carlo simulation
/ Operations research
/ Securities prices
/ Stochastic models
/ Studies
/ Volatility
2018
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An analytical approximation for single barrier options under stochastic volatility models
by
Funahashi, Hideharu
, Higuchi, Tomohide
in
Approximation
/ Mathematical analysis
/ Monte Carlo simulation
/ Operations research
/ Securities prices
/ Stochastic models
/ Studies
/ Volatility
2018
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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.
Publisher
Springer Nature B.V
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