Exact perturbation approximations for the conditional moments of a multifactor CIR term structure model with a weak mean-reversion influence

CH Wu - Journal of Computational and Applied Mathematics, 2024 - Elsevier
Journal of Computational and Applied Mathematics, 2024Elsevier
In this paper, we derive exact series expressions for the conditional moments of a
multivariate Cox-Ingersoll-Ross term structure model with a weak mean-reversion effect
assumption. First, we construct the perturbation solution for the system of Riccati equations,
which illustrates the conditional characteristic function of this term structure model. Second,
we derive the power series expression for the perturbation solution. Via the power series
solutions, we establish the exact series expressions for conditional moments. Furthermore …
Abstract
In this paper, we derive exact series expressions for the conditional moments of a multivariate Cox-Ingersoll-Ross term structure model with a weak mean-reversion effect assumption. First, we construct the perturbation solution for the system of Riccati equations, which illustrates the conditional characteristic function of this term structure model. Second, we derive the power series expression for the perturbation solution. Via the power series solutions, we establish the exact series expressions for conditional moments. Furthermore, we demonstrate the error bounds for these perturbation approximations of the conditional moments. Numerical analysis indicates that our method is more efficient, accurate and superior to the Monte Carlo approach with the Euler scheme for computing the conditional moments.
Elsevier
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