Explicit approximations of option prices via Malliavin calculus in a general stochastic volatility framework
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arXiv
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| Format: | Preprint |
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2020
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| _version_ | 1866914620940222464 |
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| author | Das, Kaustav Langrené, Nicolas |
| author_facet | Das, Kaustav Langrené, Nicolas |
| contents | We establish an explicit approximation formula for European put option prices within a general stochastic volatility model with time-dependent parameters. Our methodology is based on expansions of the mixing representation of the put option price as an expectation of the Black-Scholes formula, in which the resulting terms are calculated explicitly by Malliavin calculus. We obtain an explicit representation of the error generated by the expansion procedure, and bound it in terms of moments of functionals of the underlying volatility process. Under the assumption of piecewise-constant parameters, our approximation formulas become closed-form, and compatible with a proposed fast calibration scheme. Finally, we perform a numerical sensitivity analysis to investigate the quality of our approximation formula in the so-called Stochastic Verhulst model, and show that the errors are well within the acceptable range for application purposes. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2006_01542 |
| institution | arXiv |
| publishDate | 2020 |
| record_format | arxiv |
| spellingShingle | Explicit approximations of option prices via Malliavin calculus in a general stochastic volatility framework Das, Kaustav Langrené, Nicolas Mathematical Finance 91G60, 41A58, 65C20 G.3; G.1.2; J.4 We establish an explicit approximation formula for European put option prices within a general stochastic volatility model with time-dependent parameters. Our methodology is based on expansions of the mixing representation of the put option price as an expectation of the Black-Scholes formula, in which the resulting terms are calculated explicitly by Malliavin calculus. We obtain an explicit representation of the error generated by the expansion procedure, and bound it in terms of moments of functionals of the underlying volatility process. Under the assumption of piecewise-constant parameters, our approximation formulas become closed-form, and compatible with a proposed fast calibration scheme. Finally, we perform a numerical sensitivity analysis to investigate the quality of our approximation formula in the so-called Stochastic Verhulst model, and show that the errors are well within the acceptable range for application purposes. |
| title | Explicit approximations of option prices via Malliavin calculus in a general stochastic volatility framework |
| topic | Mathematical Finance 91G60, 41A58, 65C20 G.3; G.1.2; J.4 |
| url | https://arxiv.org/abs/2006.01542 |