PDF iconDownload This Paper
Open PDF in Browser
Add Paper to My Library
Permalink
Using these links will ensure access to this page indefinitely
Copy URL
Copy DOI

A Control Variate Method for Monte Carlo Simulations of Heath-Jarrow-Morton Models with Jumps

Quantitative Finance Research Centre Research Paper Number No. 167

33 Pages Posted: 2 May 2006

See all articles by Carl Chiarella

Carl Chiarella

University of Technology, Sydney - UTS Business School, Finance Discipline Group

Christina Sklibosios Nikitopoulos

University of Technology Sydney - Business School; Financial Research Network (FIRN)

Erik Schlögl

University of Technology Sydney (UTS), Quantitative Finance Research Centre; University of Cape Town (UCT) - The African Institute of Financial Markets and Risk Management; Faculty of Science, Department of Statistics, University of Johannesburg; Financial Research Network (FIRN)

Date Written: September 2005

Abstract

This paper examines the pricing of interest rate derivatives when the interest rate dynamics experience infrequent jump shocks modelled as a Poisson process and within the Markovian HJM framework developed in Chiarella & Nikitopoulos (2003). Closed form solutions for the price of a bond option under deterministic volatility specifications are derived and a control variate numerical method is developed under a more general state dependent volatility structure, a case in which closed form solutions are generally not possible. In doing so, we provide a novel perspective on the control variate methods by going outside a given complex model to a simpler more tractable setting to provide the control variates.

Keywords: HJM model, jump process, bond option prices, control variate, Monte Carlo simulations

JEL Classification: E43, G33, G13

Suggested Citation

Chiarella, Carl and Sklibosios Nikitopoulos, Christina and Schloegl, Erik, A Control Variate Method for Monte Carlo Simulations of Heath-Jarrow-Morton Models with Jumps (September 2005). Quantitative Finance Research Centre Research Paper Number No. 167, Available at SSRN: https://ssrn.com/abstract=893085 or http://dx.doi.org/10.2139/ssrn.893085

Carl Chiarella (Contact Author)

University of Technology, Sydney - UTS Business School, Finance Discipline Group ( email )

PO Box 123
Broadway, NSW 2007
Australia
+61 2 9514 7719 (Phone)
+61 2 9514 7711 (Fax)

HOME PAGE: http://www.business.uts.edu.au/finance/

Christina Sklibosios Nikitopoulos

University of Technology Sydney - Business School ( email )

15 Broadway, Ultimo
Sydney 2007, New South Wales
Australia

Financial Research Network (FIRN)

C/- University of Queensland Business School
St Lucia, 4071 Brisbane
Queensland
Australia

HOME PAGE: http://www.firn.org.au

Erik Schloegl

University of Technology Sydney (UTS), Quantitative Finance Research Centre ( email )

Ultimo
PO Box 123
Sydney, NSW 2007
Australia
+61 2 9514 2535 (Phone)

HOME PAGE: http://www.schlogl.com

University of Cape Town (UCT) - The African Institute of Financial Markets and Risk Management ( email )

Leslie Commerce Building
Rondebosch
Cape Town, Western Cape 7700
South Africa

Faculty of Science, Department of Statistics, University of Johannesburg ( email )

Auckland Park, 2006
South Africa

Financial Research Network (FIRN)

C/- University of Queensland Business School
St Lucia, 4071 Brisbane
Queensland
Australia

HOME PAGE: http://www.firn.org.au

PDF iconDownload This Paper
Open PDF in Browser

Do you have a job opening that you would like to promote on SSRN?

Place Job Opening

Paper statistics

Downloads
187
Abstract Views
1,467
rank
222,049
26 References
PlumX Metrics

Related eJournals

Recommended Papers