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

30 Pages Posted: 26 Aug 2006

See all articles by R. Pietersz

R. Pietersz

affiliation not provided to SSRN

Antoon Pelsser

Maastricht University; Netspar

Date Written: April 3, 2005

Abstract

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 riskmanaged 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: M, G3, G13

Suggested Citation

Pietersz, R. and Pelsser, Antoon A. J., A Comparison of Single Factor Markov-Functional and Multi Factor Market Models (April 3, 2005). ERIM Report Series Reference No. ERS-2005-008-F&A. Available at SSRN: https://ssrn.com/abstract=902498

R. Pietersz (Contact Author)

affiliation not provided to SSRN

No Address Available

Antoon A. J. Pelsser

Maastricht University ( email )

P.O. Box 616
Maastricht, 6200 MD
Netherlands

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

Netspar ( email )

P.O. Box 90153
Tilburg, 5000 LE
Netherlands

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