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Kernel-based collocation methods for Heath-Jarrow-Morton models with Musiela parametrization

Yuki Kinoshita and Yumiharu Nakano

Papers from arXiv.org

Abstract: We propose kernel-based collocation methods for numerical solutions to Heath-Jarrow-Morton models with Musiela parametrization. The methods can be seen as the Euler-Maruyama approximation of some finite dimensional stochastic differential equations, and allow us to compute the derivative prices by the usual Monte Carlo methods. We derive a bound on the rate of convergence under some decay condition on the inverse of the interpolation matrix and some regularity conditions on the volatility functionals.

Date: 2018-09, Revised 2020-09
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