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

Alexandra Dias and Paul Embrechts

The European Journal of Finance, 2009, vol. 15, issue 7-8, 619-637

Abstract: In this paper, we test for structural changes in the conditional dependence of two-dimensional foreign exchange data. We show that 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.

Keywords: Change-point tests; conditional dependence; copula; GARCH; risk management (search for similar items in EconPapers)
Date: 2009
References: View complete reference list from CitEc
Citations: View citations in EconPapers (18)

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DOI: 10.1080/13518470701705579

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