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Detecting exchange rate contagion in Asian exchange rate markets using asymmetric DDC-GARCH and R-vine copulas

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  • Gomez-Gonzalez, Jose
  • Rojas-Espinosa, Wilmer

Abstract

This study uses asymmetric DCC-GARCH models and copula functions for studying exchange rate contagion in a group of twelve Asia-Pacific countries. Using daily data between November 1991 and March 2017, shows that extreme market movements are mainly associated with the high degree of interdependence registered by countries in this region. The evidence of contagion is scarce. Asymmetries do not appear to be important. Specifically, currency co-movements are statistically identical during times of extreme market appreciation and depreciation, indicating that phenomena such as the "fear of appreciation" do not appear to be relevant in the region's foreign exchange markets.

Suggested Citation

  • Gomez-Gonzalez, Jose & Rojas-Espinosa, Wilmer, 2018. "Detecting exchange rate contagion in Asian exchange rate markets using asymmetric DDC-GARCH and R-vine copulas," MPRA Paper 88578, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:88578
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    References listed on IDEAS

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    More about this item

    Keywords

    Exchange rate contagion; Asian financial crisis; Copula functions; DCC-GARCH models.;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • E42 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Monetary Sytsems; Standards; Regimes; Government and the Monetary System

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