WIAS Preprint No. 481, (1999)

Lognormal random field approximations to LIBOR market models



Authors

  • Kurbanmuradov, Orazgeldy
  • Sabelfeld, Karl
  • Schoenmakers, John G. M.
    ORCID: 0000-0002-4389-8266

2010 Mathematics Subject Classification

  • 60H10 65C05 90A09

Keywords

  • LIBOR interest rate models, random field simulation, Monte Carlo simulation of stochastic differential equations

DOI

10.20347/WIAS.PREPRINT.481

Abstract

We study several approximations for the LIBOR market models presented in [1, 2, 5]. Special attention is payed to log-normal approximations and their simulation by using direct simulation methods for log-normal random fields. In contrast to the conventional numerical solution of SDE's this approach simulates the solution directly at the desired point and is therefore much more effcient. We carry out a path-wise comparison of the approximations and give applications to the valuation of the swaption and the trigger swap.

Appeared in

  • Journal of Computational Finance, Vol. 6, No. 1, (69-100) 2002. Under new title: Lognormal approximations to Libor market models.

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