IDEAS home Printed from https://ideas.repec.org/p/bis/biswps/101.html
   My bibliography  Save this paper

Can liquidity risk be subsumed in credit risk? A case study from Brady bond prices

Author

Listed:
  • Henri Pagès

    (Fondation Banque de France pour la Recherche)

Abstract

The paper applies a reduced-form model to uncover from secondary market's Brady bond prices, together with Libor interest rates, how the risk of sovereign default is perceived to depend upon time. The methodology is implemented on a particular issue, a discount bond issued by Brazil and maturing in April 2024. It is shown that subsuming liquidity risk in default risk may result in a misspecified model that, while generating the desired negative correlation between credit spreads and default-free interest rates, also generates negative probabilities of default at long horizons.

Suggested Citation

  • Henri Pagès, 2001. "Can liquidity risk be subsumed in credit risk? A case study from Brady bond prices," BIS Working Papers 101, Bank for International Settlements.
  • Handle: RePEc:bis:biswps:101
    as

    Download full text from publisher

    File URL: http://www.bis.org/publ/work101.pdf
    File Function: Full PDF document
    Download Restriction: no

    File URL: http://www.bis.org/publ/work101.htm
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Robert A. Jarrow & David Lando & Stuart M. Turnbull, 2008. "A Markov Model for the Term Structure of Credit Risk Spreads," World Scientific Book Chapters, in: Financial Derivatives Pricing Selected Works of Robert Jarrow, chapter 18, pages 411-453, World Scientific Publishing Co. Pte. Ltd..
    2. Duffie, Darrell & Singleton, Kenneth J, 1997. "An Econometric Model of the Term Structure of Interest-Rate Swap Yields," Journal of Finance, American Finance Association, vol. 52(4), pages 1287-1321, September.
    3. Longstaff, Francis A & Schwartz, Eduardo S, 1995. "A Simple Approach to Valuing Risky Fixed and Floating Rate Debt," Journal of Finance, American Finance Association, vol. 50(3), pages 789-819, July.
    4. Barry Eichengreen & Ashoka Mody, 1998. "What Explains Changing Spreads on Emerging-Market Debt: Fundamentals or Market Sentiment?," NBER Working Papers 6408, National Bureau of Economic Research, Inc.
    5. Pearson, Neil D & Sun, Tong-Sheng, 1994. "Exploiting the Conditional Density in Estimating the Term Structure: An Application to the Cox, Ingersoll, and Ross Model," Journal of Finance, American Finance Association, vol. 49(4), pages 1279-1304, September.
    6. Sarig, Oded & Warga, Arthur, 1989. " Some Empirical Estimates of the Risk Structure of Interest Rates," Journal of Finance, American Finance Association, vol. 44(5), pages 1351-1360, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Didier Cossin & Zhijiang Huang & Daniel Aunon-Nerin & Fer nando González, 2002. "A Framework for Collateral Risk Control Determination," FAME Research Paper Series rp61, International Center for Financial Asset Management and Engineering.
    2. Marco S. Matsumura, 2006. "Impact of Macro Shocks on Sovereign Default Probabilities," Discussion Papers 1241, Instituto de Pesquisa Econômica Aplicada - IPEA.
    3. Roger Walder, 2002. "Dynamic Allocation of Treasury and Corporate Bond Portfolios," FAME Research Paper Series rp64, International Center for Financial Asset Management and Engineering.
    4. Marco S. Matsumura, 2015. "Impact of Macro Shocks on Sovereign Default Probabilities," Discussion Papers 0173, Instituto de Pesquisa Econômica Aplicada - IPEA.
    5. Cossin, Didier & González, Fernando & Huang, Zhijiang & Backé, Peter, 2003. "A framework for collateral risk control determination," Working Paper Series 209, European Central Bank.
    6. Hayette Gatfaoui, 2003. "Risque de Défaut et Risque de Liquidité : Une Etude de Deux Composantes du Spread de Crédit," Risk and Insurance 0308005, University Library of Munich, Germany.
    7. Serafín Frache & Gabriel Katz, 2004. "Estimating a Risky Term Structure of Uruguayan Sovereign Bonds," Documentos de Trabajo (working papers) 0304, Department of Economics - dECON.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. repec:wyi:journl:002109 is not listed on IDEAS
    2. Roger WALDER, 2002. "Interactions Between Market and Credit Risk: Modeling the Joint Dynamics of Default-Free and Defaultable Bond Term Structures," FAME Research Paper Series rp56, International Center for Financial Asset Management and Engineering.
    3. Giesecke, Kay & Longstaff, Francis A. & Schaefer, Stephen & Strebulaev, Ilya, 2011. "Corporate bond default risk: A 150-year perspective," Journal of Financial Economics, Elsevier, vol. 102(2), pages 233-250.
    4. Lim, Terence & Lo, Andrew W. & Merton, Robert C. & Scholes, Myron S., 2006. "The Derivatives Sourcebook," Foundations and Trends(R) in Finance, now publishers, vol. 1(5–6), pages 365-572, April.
    5. Dragon Tang & Hong Yan, 2006. "Macroeconomic Conditions, Firm Characteristics, and Credit Spreads," Journal of Financial Services Research, Springer;Western Finance Association, vol. 29(3), pages 177-210, June.
    6. Suresh M. Sundaresan, 2000. "Continuous‐Time Methods in Finance: A Review and an Assessment," Journal of Finance, American Finance Association, vol. 55(4), pages 1569-1622, August.
    7. Dai, Qiang & Singleton, Kenneth J., 2003. "Fixed-income pricing," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, edition 1, volume 1, chapter 20, pages 1207-1246, Elsevier.
    8. Mr. Marcel Peter & Martín Grandes, 2005. "How Important Is Sovereign Risk in Determining Corporate Default Premia? The Case of South Africa," IMF Working Papers 2005/217, International Monetary Fund.
    9. Kris Jacobs & Xiaofei Li, 2008. "Modeling the Dynamics of Credit Spreads with Stochastic Volatility," Management Science, INFORMS, vol. 54(6), pages 1176-1188, June.
    10. Brown, Alessio J. G. & Žarnić, Žiga, 2003. "Explaining the increased German credit spread: The role of supply factors," Kiel Advanced Studies Working Papers 412, Kiel Institute for the World Economy (IfW Kiel).
    11. Heidorn, Thomas & Schlamann, Sara, 2022. "The dynamics of rating based credit benchmark curves," Frankfurt School - Working Paper Series 231, Frankfurt School of Finance and Management.
    12. SOLNIK, Bruno & COLLIN-DUFRESNE, Pierre, 2000. "On the term structure of default premia in the Swap and Libor markets," HEC Research Papers Series 704, HEC Paris.
    13. Zhou, Chunsheng, 2001. "The term structure of credit spreads with jump risk," Journal of Banking & Finance, Elsevier, vol. 25(11), pages 2015-2040, November.
    14. Vink, Dennis, 2007. "An Empirical Analysis of Asset-Backed Securitization," MPRA Paper 10382, University Library of Munich, Germany, revised 25 Aug 2008.
    15. Edward J. Elton & Martin J. Gruber & Deepak Agrawal & Christopher Mann, 1999. "Explaining the Rate Spread on Corporate Bonds," New York University, Leonard N. Stern School Finance Department Working Paper Seires 99-082, New York University, Leonard N. Stern School of Business-.
    16. Batten, Jonathan & Hogan, Warren, 2002. "A perspective on credit derivatives," International Review of Financial Analysis, Elsevier, vol. 11(3), pages 251-278.
    17. Lara Cathcart & Lina El-Jahel, 2006. "Pricing defaultable bonds: a middle-way approach between structural and reduced-form models," Quantitative Finance, Taylor & Francis Journals, vol. 6(3), pages 243-253.
    18. Samuel Chege Maina, 2011. "Credit Risk Modelling in Markovian HJM Term Structure Class of Models with Stochastic Volatility," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2011.
    19. Christina Nikitopoulos-Sklibosios, 2005. "A Class of Markovian Models for the Term Structure of Interest Rates Under Jump-Diffusions," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 6, July-Dece.
    20. Luca Benzoni & Robert S. Goldstein, 2015. "Estimating the Tax and Credit-Event Risk Components of Credit Spreads," Working Paper Series WP-2017-17, Federal Reserve Bank of Chicago.
    21. Krishnan, C. N. V. & Ritchken, P. H. & Thomson, J. B., 2006. "On Credit-Spread Slopes and Predicting Bank Risk," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(6), pages 1545-1574, September.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bis:biswps:101. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christian Beslmeisl (email available below). General contact details of provider: https://edirc.repec.org/data/bisssch.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.