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Modelling the Dependence Structure of MUR/USD and MUR/INR Exchange Rates using Copula

Author

Listed:
  • Vandna Jowaheer

    (University of Mauritius, Faculty of Science, Reduit, Mauritius)

  • Nafeessah Z. B. Ameerudden

    (University of Mauritius, Reduit, Mauritius)

Abstract

American Dollar (USD) and Indian Rupee (INR) play an important role in Mauritian economy. It is important to model the pattern of dependence in their co-movement with respect to Mauritian Rupee (MUR), as this may indicate the export-import behavior in Mauritius. However, it is known that distributions of exchange rates are usually non-normal and the use of linear correlation as a dependence measure is inappropriate. Moreover it is quite difficult to obtain the joint distribution of such random variables in order to specify the complete covariance matrix to measure their dependence structure. In this paper, we first identify the marginal distributions of the exchange rates of MUR against USD and INR and then select the best fitting copula model for the bivariate series. It is concluded that both the series are asymmetric and fat-tailed following hyperbolic distribution. Their dependence structure is appropriately modeled by t copula.

Suggested Citation

  • Vandna Jowaheer & Nafeessah Z. B. Ameerudden, 2012. "Modelling the Dependence Structure of MUR/USD and MUR/INR Exchange Rates using Copula," International Journal of Economics and Financial Issues, International Journal of Economics and Financial Issues, vol. 2(1), pages 27-32.
    • Handle: RePEc:eco:journ1:2012-01-4
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    References listed on IDEAS

    as
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    Cited by:

    1. Mervenur Sözen & Çağlar Sözen & Onur Şeyranlioğlu, 2024. "Determining the Dependency Structure Between Selected Macroeconomic Variables Using the Copula Method," Journal of Economic Policy Researches, Istanbul University, Faculty of Economics, vol. 11(1), pages 20-29, January.

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    JEL classification:

    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
    • F - International Economics

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