Testing for structural changes in exchange rates' dependence beyond linear correlation

Alexandra Dias*, Paul Embrechts

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, we test for structural changes in the conditional dependence of two-dimensional foreign exchange data.We showthat by modeling the conditional dependence structure using copulae, we can detect changes in the dependence beyond linear correlation, such as changes in the tail of the joint distribution. This methodology is relevant for estimating risk-management measures, such as portfolio value-at-risk, pricing multi-name financial instruments, and portfolio asset allocation. Our results include evidence of the existence of changes in the correlation as well as in the fatness of the tail of the dependence between Deutsche mark and Japanese yen.

Original languageEnglish
Pages (from-to)619-637
Number of pages19
JournalEuropean Journal of Finance
Volume15
Issue number7-8
DOIs
Publication statusPublished - 2009

Keywords

  • Change-point tests
  • Conditional dependence
  • Copula
  • GARCH
  • Risk management

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