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Exchange Rates Contagion in Latin America

Author

Listed:
  • Rub�n Albeiro Loaiza Maya
  • Jos� Eduardo G�mez-Gonz�lez
  • Luis Fernando Melo Velandia

Abstract

A regular vine copula approach is implemented for testing for contagion among the exchange rates of the six largest Latin American countries. Using daily data from June 2005 through April 2012, we find evidence of contagion among the Brazilian, Chilean, Colombian and Mexican exchange rates. However, there are interesting differences in contagion during periods of large exchange rate depreciation and appreciation. Our results have important implications for the response of Latin American countries to currency crises originated abroad.

Suggested Citation

  • Rub�n Albeiro Loaiza Maya & Jos� Eduardo G�mez-Gonz�lez & Luis Fernando Melo Velandia, 2014. "Exchange Rates Contagion in Latin America," Borradores de Economia 12105, Banco de la Republica.
    • Handle: RePEc:col:000094:012105
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    Cited by:

    1. Luis V. Bejarano-Bejarano & Jose E. Gomez-Gonzalez & Luis F. Melo-Velandia & Jhon E. Torres-Gorron, 2015. "Financial Contagion in Latin America," Borradores de Economia 884, Banco de la Republica de Colombia.
    2. Martinez, Valeria & Tse, Yiuman, 2018. "Intraday price discovery analysis in the foreign exchange market of an emerging economy: Mexico," Research in International Business and Finance, Elsevier, vol. 45(C), pages 271-284.
    3. Muhammad Mar’i & Turgut Tursoy, 2021. "Exchange Rate Dependency Between Emerging Countries-Case of Black Sea Countries," Capital Markets Review, Malaysian Finance Association, vol. 29(2), pages 43-54.
    4. Gamba-Santamaria, Santiago & Gomez-Gonzalez, Jose Eduardo & Hurtado-Guarin, Jorge Luis & Melo-Velandia, Luis Fernando, 2017. "Stock market volatility spillovers: Evidence for Latin America," Finance Research Letters, Elsevier, vol. 20(C), pages 207-216.
    5. Zhang, Feipeng & Xu, Yixiong & Yuan, Di, 2024. "Detecting financial contagion using a new nonparametric measure of asymmetric comovements," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 284-296.
    6. Romero-Meza, Rafael & Bonilla, Claudio & Benedetti, Hugo & Serletis, Apostolos, 2015. "Nonlinearities and financial contagion in Latin American stock markets," Economic Modelling, Elsevier, vol. 51(C), pages 653-656.
    7. Krapl, Alain A., 2020. "The time-varying diversifiability of corporate foreign exchange exposure," Journal of Corporate Finance, Elsevier, vol. 65(C).
    8. Daniel Mariño-Ustacara & Luis Fernando Melo-Velandia, 2016. "Relación entre los valores en riesgo de los principales mercados financieros colombianos: un enfoque a través de modelos multivariados de regresión cuantílica," Borradores de Economia 975, Banco de la Republica de Colombia.
    9. Espinosa-Torres, Juan Andrés & Gomez-Gonzalez, Jose Eduardo & Melo-Velandia, Luis Fernando & Moreno-Gutiérrez, José Fernando, 2016. "The international transmission of risk: Causal relations among developed and emerging countries’ term premia," Research in International Business and Finance, Elsevier, vol. 37(C), pages 646-654.
    10. Gomez-Gonzalez, Jose E. & Rojas-Espinosa, Wilmer, 2019. "Detecting contagion in Asian exchange rate markets using asymmetric DCC-GARCH and R-vine copulas," Economic Systems, Elsevier, vol. 43(3).
    11. Narcisa Kadlčáková & Luboš Komárek, 2017. "Foreign Exchange Market Contagion in Central Europe from the Viewpoint of Extreme Value Theory," Prague Economic Papers, Prague University of Economics and Business, vol. 2017(6), pages 690-721.
    12. repec:prg:jnlpep:v:preprint:id:634:p:1-32 is not listed on IDEAS
    13. Aristeidis, Samitas & Elias, Kampouris, 2018. "Empirical analysis of market reactions to the UK’s referendum results – How strong will Brexit be?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 53(C), pages 263-286.
    14. Yang, Lu & Cai, Xiao Jing & Zhang, Huimin & Hamori, Shigeyuki, 2016. "Interdependence of foreign exchange markets: A wavelet coherence analysis," Economic Modelling, Elsevier, vol. 55(C), pages 6-14.
    15. Sohel Azad, A.S.M. & Batten, Jonathan A. & Fang, Victor & Wickramanayake, Jayasinghe, 2015. "International swap market contagion and volatility," Economic Modelling, Elsevier, vol. 47(C), pages 355-371.
    16. Das, Suman & Roy, Saikat Sinha, 2023. "Following the leaders? A study of co-movement and volatility spillover in BRICS currencies," Economic Systems, Elsevier, vol. 47(2).
    17. Cubillos-Rocha, Juan S. & Gomez-Gonzalez, Jose E. & Melo-Velandia, Luis F., 2019. "Detecting exchange rate contagion using copula functions," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 13-22.
    18. 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.
    19. Neha Seth & Monica Sighania, 2017. "Financial market contagion: selective review of reviews," Qualitative Research in Financial Markets, Emerald Group Publishing Limited, vol. 9(4), pages 391-408, November.
    20. He, Qing & Wang, Wenqing & Yu, Jishuang, 2023. "Exchange rate co-movements and corporate foreign exchange exposures: A study on RMB," International Review of Financial Analysis, Elsevier, vol. 90(C).

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    More about this item

    Keywords

    Exchange Rates; Contagion; Copula; Regular Vine; Local correlation.;
    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

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