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2021 / September Volume 16 No.3
$\alpha$-Hypergeometric Uncertain Volatility Models and their Connection to 2BSDEs
Published Date
2021 / September
Title
$\alpha$-Hypergeometric Uncertain Volatility Models and their Connection to 2BSDEs
Author
Zaineb Mezdoud, Carsten Hartmann, Mohamed Riad Remita, Omar Kebiri
Keyword
α-hypergeometric stochastic volatility model, uncertain volatility model, 2BSDE, deep learning based discretisation of 2BSDE
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Pagination
263-288
Abstract
In this article we propose a $\alpha$-hypergeometric model with uncertain volatility (UV) where we derive a worst-case scenario for option pricing. The approach is based on the connection between a certain class of nonlinear partial differential equations of HJB-type (G-HJB equations), that governs the nonlinear expectation of the UV model and provides an alternative to the difficult model calibration problem of UV models, and second-order backward stochastic differential equations (2BSDEs). Using asymptotic analysis for the G-HJB equation and the equivalent 2BSDE representation, we derive a limit model which provides an accurate description of the worst-case price scenario in cases when the bounds of the UV model are slowly varying. The analytical results are tested by numerical simulations using a deep learning based approximation of the underlying 2BSDE.
DOI
10.21915/BIMAS.2021304
https://doi.org/10.21915/BIMAS.2021304
AMS Subject
Classification
91G30, 35Q93
Received
2021-08-12
Accepted
2021-10-11
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