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Extracting Default Probabilities from Sovereign Bonds

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  • Meres, Bernardo
  • Almeida, Caio

Abstract

Sovereign risk analysis is central in debt markets. Considering different bonds and countries, there are numerous measures aiming to identify the way risk is perceived by market participants. In such environment, probabilities of default play a central role in investors’ decisions. This article contributes by providing a parametric arbitrage-free dynamic model to estimate defaultable term structures of sovereign bonds. The proposed model builds on Duffie and Singleton’s (1999) general reduced-form model by proposing a piecewise constant structure for the conditional probabilities of defaults. Once an average recovery rate value is fixed for the whole market, the proposed model estimates implied probabilities of defaults from bond prices, working as a parsimonious tool to quantify investor’s perception of credit risk. We apply this methodology to analyze the behavior of default probabilities within the Brazilian sovereign fixed income market at three different recent economic moments.

Suggested Citation

  • Meres, Bernardo & Almeida, Caio, 2008. "Extracting Default Probabilities from Sovereign Bonds," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 28(1), May.
    • Handle: RePEc:sbe:breart:v:28:y:2008:i:1:a:1518
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    1. Houweling, Patrick & Vorst, Ton, 2005. "Pricing default swaps: Empirical evidence," Journal of International Money and Finance, Elsevier, vol. 24(8), pages 1200-1225, December.
    2. Robert A. Jarrow & Stuart M. Turnbull, 2008. "Pricing Derivatives on Financial Securities Subject to Credit Risk," World Scientific Book Chapters, in: Financial Derivatives Pricing Selected Works of Robert Jarrow, chapter 17, pages 377-409, World Scientific Publishing Co. Pte. Ltd..
    3. P. Collin-Dufresne & R. Goldstein & J. Hugonnier, 2004. "A General Formula for Valuing Defaultable Securities," Econometrica, Econometric Society, vol. 72(5), pages 1377-1407, September.
    4. Merton, Robert C, 1974. "On the Pricing of Corporate Debt: The Risk Structure of Interest Rates," Journal of Finance, American Finance Association, vol. 29(2), pages 449-470, May.
    5. Hull, John & White, Alan, 1990. "Pricing Interest-Rate-Derivative Securities," The Review of Financial Studies, Society for Financial Studies, vol. 3(4), pages 573-592.
    6. Nelson, Charles R & Siegel, Andrew F, 1987. "Parsimonious Modeling of Yield Curves," The Journal of Business, University of Chicago Press, vol. 60(4), pages 473-489, October.
    7. Tang, Huarong & Xia, Yihong, 2007. "An International Examination of Affine Term Structure Models and the Expectations Hypothesis," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 42(1), pages 41-80, March.
    8. Duffie, Darrell & Singleton, Kenneth J, 1999. "Modeling Term Structures of Defaultable Bonds," The Review of Financial Studies, Society for Financial Studies, vol. 12(4), pages 687-720.
    9. Darrell Duffie & Lasse Heje Pedersen & Kenneth J. Singleton, 2003. "Modeling Sovereign Yield Spreads: A Case Study of Russian Debt," Journal of Finance, American Finance Association, vol. 58(1), pages 119-159, February.
    10. Caio Ibsen Rodrigues De Almeida & Antonio Marcos Duarte & Cristiano Augusto Coelho Fernandes, 2003. "A Generalization Of Principal Component Analysis For Non-Observable Term Structures In Emerging Markets," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 6(08), pages 885-903.
    11. Berardi, Andrea & Ciraolo, Stefania & Trova, Michele, 2004. "Predicting default probabilities and implementing trading strategies for emerging markets bond portfolios," Emerging Markets Review, Elsevier, vol. 5(4), pages 447-469, December.
    12. Merrick Jr., John J., 2001. "Crisis dynamics of implied default recovery ratios: Evidence from Russia and Argentina," Journal of Banking & Finance, Elsevier, vol. 25(10), pages 1921-1939, October.
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