On the Discrete-Time Simulation of the Rough Heston Model

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Abstract

We study Euler-type discrete-time schemes for the rough Heston model, which can be described by a stochastic Volterra equation (with non-Lipschitz coefficient functions) or by an equivalent integrated variance formulation. Using weak convergence techniques, we prove that the limits of the discrete-time schemes are a solution to some modified Volterra equations. Such modified equations are then proved to share the same unique solution as the initial equations, which implies the convergence of the discrete-time schemes. Numerical examples are also provided in order to evaluate different derivative options prices under the rough Heston model.

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Richard, A., Tan, X., & Yang, F. (2023). On the Discrete-Time Simulation of the Rough Heston Model. SIAM Journal on Financial Mathematics, 14(1), 223–249. https://doi.org/10.1137/21M1443807

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