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Measuring contagion and interdependence with a Bayesian time-varying coefficient model: An application to the Chilean FX market during the Argentine crisis

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  • Matteo Ciccarelli
  • Alessandro Rebucci

Abstract

We use a Bayesian time-varying coefficient model to measure contagion and interdependence, and we apply it to the Chilean FX market during the 2001 Argentine crisis. The proposed framework works in the joint presence of heteroskedasticity and omitted variables, without knowledge of the crisis timing prior to the empirical analysis. It can distinguish between contagion and interdependence, as well as between unusually strong or weak market comovements. In a 'natural' experiment based on our application, we find that the proposed framework works well in practice. In the application, we find evidence of some contagion from Argentina and some interdependence with Brazil. Copyright , Oxford University Press.

Suggested Citation

  • Matteo Ciccarelli & Alessandro Rebucci, 0. "Measuring contagion and interdependence with a Bayesian time-varying coefficient model: An application to the Chilean FX market during the Argentine crisis," Journal of Financial Econometrics, Oxford University Press, vol. 5(2), pages 285-320.
    • Handle: RePEc:oup:jfinec:v:5:y::i:2:p:285-320
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    File URL: http://hdl.handle.net/10.1093/jjfinec/nbm003
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    Cited by:

    1. Chan, Joshua C.C. & Eisenstat, Eric & Strachan, Rodney W., 2020. "Reducing the state space dimension in a large TVP-VAR," Journal of Econometrics, Elsevier, vol. 218(1), pages 105-118.
    2. Emanuele Bacchiocchi, 2017. "On the Identification of Interdependence and Contagion of Financial Crises," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(6), pages 1148-1175, December.
    3. Billio, Monica & Caporin, Massimiliano, 2010. "Market linkages, variance spillovers, and correlation stability: Empirical evidence of financial contagion," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2443-2458, November.
    4. Guidolin, Massimo & Hansen, Erwin & Pedio, Manuela, 2019. "Cross-asset contagion in the financial crisis: A Bayesian time-varying parameter approach," Journal of Financial Markets, Elsevier, vol. 45(C), pages 83-114.
    5. Geraci, Marco Valerio & Gnabo, Jean-Yves, 2018. "Measuring Interconnectedness between Financial Institutions with Bayesian Time-Varying Vector Autoregressions," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 53(3), pages 1371-1390, June.
    6. Ana Escribano & Cristina Íñiguez, 2021. "The contagion phenomena of the Brexit process on main stock markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 4462-4481, July.
    7. Davidson, Sharada Nia, 2020. "Interdependence or contagion: A model switching approach with a focus on Latin America," Economic Modelling, Elsevier, vol. 85(C), pages 166-197.

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