A Comparison of Single-Factor Markov-Functional and Multi-Factor Market Models

27 Pages Posted: 29 Jun 2004 Last revised: 7 May 2011

Date Written: January 6, 2005


We compare single factor Markov-functional and multi factor market models for hedging performance of Bermudan swaptions. We show that hedging performance of both models is comparable, thereby supporting the claim that Bermudan swaptions can be adequately risk-managed with single factor models. Moreover, we show that the impact of smile can be much larger than the impact of correlation. We propose a new method for calculating risk sensitivities of callable products in market models, which is a modification of the least-squares Monte Carlo method. The hedge results show that this new method enables proper functioning of market models as risk-management tools.

Keywords: Markov-functional model, market model, Bermudan swaption, terminal correlation, hedging, Greeks for callable products, smile

JEL Classification: G13

Suggested Citation

Pietersz, Raoul and Pelsser, Antoon A. J., A Comparison of Single-Factor Markov-Functional and Multi-Factor Market Models (January 6, 2005). Review of Derivatives Research, Vol. 13, No. 3, 2010. Available at SSRN: https://ssrn.com/abstract=559423

Raoul Pietersz

ABN AMRO ( email )

Antoon A. J. Pelsser (Contact Author)

Maastricht University ( email )

P.O. Box 616
Maastricht, 6200 MD

HOME PAGE: http://https://sites.google.com/site/apelsseraca/

Netspar ( email )

P.O. Box 90153
Tilburg, 5000 LE

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