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Modelling CDS Volatility at Different Tenures: An Application for Latin-American Countries

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  • Fredy Gamboa-Estrada
  • José Vicente Romero

Abstract

Assessing the dynamics of risk premium measures and its relationship with macroeconomic fundamentals is important for both macroeconomic policymakers and market practitioners. This paper analyzes the main determinants of CDS in Latin-America at different tenures, focusing on their volatility. Using a component GARCH model, we decompose volatility between permanent and transitory components. We find that the permanent component of CDS volatility in all tenors was higher and more persistent in the global financial crisis than during the recent COVID-19 shock. **** RESUMEN: Evaluar la dinámica de las medidas de prima de riesgo y su relación con los fundamentales macroeconómicos es importante tanto para quienes implementan las políticas macroeconómicas como para los participantes del mercado. En este documento se analizan los principales determinantes de los CDS para economías de Latinoamérica a diferentes plazos, enfocándose en su volatilidad. Empleando un modelo GARCH por componentes, se realiza una descomposición de la volatilidad de los CDS a diferentes plazos entre un componente permanente y transitorio. En los resultados se encuentra que el componente permanente de la volatilidad de los CDS en todos los plazos fue mayor y más persistente durante la crisis financiera global que durante el episodio más reciente relacionado con el choque del COVID-19.

Suggested Citation

  • Fredy Gamboa-Estrada & José Vicente Romero, 2022. "Modelling CDS Volatility at Different Tenures: An Application for Latin-American Countries," Borradores de Economia 1199, Banco de la Republica de Colombia.
    • Handle: RePEc:bdr:borrec:1199
    DOI: 10.32468/be.1199
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    References listed on IDEAS

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    1. Tim Bollerslev, 2008. "Glossary to ARCH (GARCH)," CREATES Research Papers 2008-49, Department of Economics and Business Economics, Aarhus University.
    2. Aizenman, Joshua & Hutchison, Michael & Jinjarak, Yothin, 2013. "What is the risk of European sovereign debt defaults? Fiscal space, CDS spreads and market pricing of risk," Journal of International Money and Finance, Elsevier, vol. 34(C), pages 37-59.
    3. Engle, Robert F. & White (the late), Halbert (ed.), 1999. "Cointegration, Causality, and Forecasting: Festschrift in Honour of Clive W. J. Granger," OUP Catalogue, Oxford University Press, number 9780198296836, Decembrie.
    4. Bouri, Elie & de Boyrie, Maria E. & Pavlova, Ivelina, 2017. "Volatility transmission from commodity markets to sovereign CDS spreads in emerging and frontier countries," International Review of Financial Analysis, Elsevier, vol. 49(C), pages 155-165.
    5. Calice, Giovanni & Mio, RongHui & Štěrba, Filip & Vašíček, Bořek, 2015. "Short-term determinants of the idiosyncratic sovereign risk premium: A regime-dependent analysis for European credit default swaps," Journal of Empirical Finance, Elsevier, vol. 33(C), pages 174-189.
    6. Hasan Murat Ertugrul & Huseyin Ozturk, 2013. "The Drivers of Credit Default Swap Prices: Evidence from Selected Emerging Market Countries," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 49(S5), pages 228-249, November.
    7. Gündüz, Yalin & Kaya, Orcun, 2013. "Sovereign default swap market efficiency and country risk in the eurozone," Discussion Papers 08/2013, Deutsche Bundesbank.
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    Cited by:

    1. Beauregard, Remy & Christensen, Jens H.E. & Fischer, Eric & Zhu, Simon, 2024. "Inflation expectations and risk premia in emerging bond markets: Evidence from Mexico," Journal of International Economics, Elsevier, vol. 151(C).

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    More about this item

    Keywords

    Credit default swaps (CDS); CDS in Latin-American countries; sovereign risk; volatility; crisis; component GARCH models; Credit default swaps (CDS); CDS de países en Latinoamérica; riesgo soberano; volatilidad; crisis; modelos GARCH por componentes;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G01 - Financial Economics - - General - - - Financial Crises
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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