The aim of this paper is to discuss the implementation of the recursive marginal quantization algorithm of [FPS2018] to several stochastic volatility models. After recalling the theoretical framework and the main features of the method, we evaluate the performance of the algorithm for the pricing of derivatives. We also discuss an open source implementation of the algorithm. For most models we consider, with the exception of the Stein and Stein model, recursive marginal quantization provides a viable alternative to Monte Carlo simulations.

Quantization of stochastic volatility models: Numerical tests and an open source implementation

Gnoatto, Alessandro
;
Picarelli, Athena
2024-01-01

Abstract

The aim of this paper is to discuss the implementation of the recursive marginal quantization algorithm of [FPS2018] to several stochastic volatility models. After recalling the theoretical framework and the main features of the method, we evaluate the performance of the algorithm for the pricing of derivatives. We also discuss an open source implementation of the algorithm. For most models we consider, with the exception of the Stein and Stein model, recursive marginal quantization provides a viable alternative to Monte Carlo simulations.
2024
Quantization, stochastic volatility, Euler scheme, option pricing
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/1126530
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