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

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 conditions on the interpolation functions and some regularity conditions on the volatility functionals.