Using Copulas to Construct Bivariate Foreign Exchange Distributions with an Application to the Sterling Exchange Rate Index

39 Pages Posted: 12 Aug 2005

See all articles by Matthew Hurd

Matthew Hurd

Bank of England - Monetary Analysis

Mark Salmon

University of Cambridge - Faculty of Economics and Politics

Christoph Schleicher

Bank of England

Multiple version iconThere are 2 versions of this paper

Date Written: November 2007

Abstract

We model the joint risk-neutral distribution of the euro-sterling and the dollar-sterling exchange rates using option-implied marginal distributions that are connected via a copula function that satisfies the triangular no-arbitrage condition. We then derive a univariate distribution for a simplified sterling effective exchange rate index. Our results indicate that standard parametric copula functions, such as the commonly used Normal and Frank copulas, fail to capture the degree of asymmetry observed in the data. We overcome this problem by using a non-parametric dependence function in the form of a Bernstein copula which is shown to produce a very close fit. We further give an example of how our approach can be used to price currency index options.

Keywords: Option-implied distributions, effective exchange rate indices, copula functions, option pricing

JEL Classification: C16, C39, D81, G12, G13

Suggested Citation

Hurd, Matthew and Salmon, Mark Howard and Schleicher, Christoph, Using Copulas to Construct Bivariate Foreign Exchange Distributions with an Application to the Sterling Exchange Rate Index (November 2007). Bank of England Working Paper No. 334, Available at SSRN: https://ssrn.com/abstract=676692 or http://dx.doi.org/10.2139/ssrn.676692

Matthew Hurd

Bank of England - Monetary Analysis ( email )

Threadneedle Street
London EC2R 8AH
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Mark Howard Salmon

University of Cambridge - Faculty of Economics and Politics ( email )

Austin Robinson Building
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Cambridge, CB3 9DD
United Kingdom

Christoph Schleicher (Contact Author)

Bank of England ( email )

Threadneedle Street
London EC2R 8AH
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