Work

Efficient option pricing in the rough Heston model using weak simulation schemes

Year: 2024

Type: article

Abstract: We provide an efficient and accurate simulation scheme for the rough Heston model in the standard (H>0) as well as the hyper-rough regime (H>−1/2). The scheme is based on low-dimensional Markovian approximations of the rough Heston process derived in [Bayer and Breneis, arXiv:2309.07023], and provides a weak approximation to the rough Heston process. Numerical experiments show that the new scheme exhibits second-order weak convergence, while the computational cost increases linearly with respect to the number of time steps. In comparison, existing schemes based on discretization of the underlying stochastic Volterra integrals such as Gatheral's HQE scheme show a quadratic dependence of the computational cost. Extensive numerical tests for standard and path-dependent European options and Bermudan options show the method's accuracy and efficiency.

Source: Quantitative Finance

DOI: 10.1080/14697688.2024.2391523

Authors: Christian Bayer, Simon Breneis

Institution: Weierstrass Institute for Applied Analysis and Stochastics

Language: English

Topic: Stochastic processes and financial applications

Subfield: Finance

Field: Economics, Econometrics and Finance

Domain: Social Sciences

Open Access status: hybrid

Funder: Deutsche Forschungsgemeinschaft

Award: G60923575