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Approximation of Stochastic Volterra Equations with kernels of completely monotone type

Authors
  • Alfonsi, Aurélien
  • Kebaier, Ahmed
Publication Date
Jan 14, 2022
Source
HAL-Paris 13
Keywords
Language
English
License
Unknown
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Abstract

In this work, we develop a multi-factor approximation for Stochastic Volterra Equations with Lipschitz coefficients and kernels of completely monotone type that may be singular. Our approach consists in truncating and then discretizing the integral defining the kernel, which corresponds to a classical Stochastic Differential Equation. We prove strong convergence results for this approximation. For the particular rough kernel case with Hurst parameter lying in $(0,1/2)$, we propose various discretization procedures and give their precise rates of convergence. We illustrate the efficiency of our approximation schemes with numerical tests for the rough Bergomi model.

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