Efficient Trees for CIR and CEV Short Rate Models
Year: 2007
Type: article
Abstract: This paper presents efficient binomial and trinomial trees for the Cox, Ingersoll, and Ross (CIR) and the constant-elasticity-of-variance (CEV) short rate models. We correct an error in the original square root transform of Nelson and Ramaswamy [1990], and modify their transform by truncating the tree exactly at the zero-boundary. This not only allows us to create computationally more efficient trees for the CIR square-root process, but also for the entire class of CEV models of the short rate. Our simulations show fast convergence and significantly improved performance of the truncated-tree approach over the Nelson-Ramaswamy approach.
Authors: Sanjay K. Nawalkha, Natalia Beliaeva
Institutions: University of Massachusetts Amherst, Suffolk University
Language: English
Subfield: Finance
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W3124929969
