IDEAS home Printed from https://ideas.repec.org/p/nbb/reswpp/200611-16.html
   My bibliography  Save this paper

Exploring the CDS-Bond Basis

Author

Listed:
  • Jan De Wit

    (NBB, Financial Markets Department)

Abstract

Markets for credit default swaps (CDS) and bonds of the same reference entity and maturity are bound by no-arbitrage conditions. Indeed, using a large data set we show that CDS premia and par asset swap spreads are mostly cointegrated. Nonetheless, the average CDS-bond basis (i.e. the difference between both measures) is positive in the period 2004-2005. We detect fourteen different economic basis drivers, which make the basis firm-specific and time-dependent. Furthermore, we describe the basis smile, and illustrate that the average basis is the lowest for five year maturities of corporate credits denominated in euro.

Suggested Citation

  • Jan De Wit, 2006. "Exploring the CDS-Bond Basis," Working Paper Research 104, National Bank of Belgium.
  • Handle: RePEc:nbb:reswpp:200611-16
    as

    Download full text from publisher

    File URL: https://www.nbb.be/doc/ts/publications/wp/wp104en.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    2. Didier Cossin & Hongze Lu, 2005. "Are European Corporate Bond and Default Swap Markets Segmented?," FAME Research Paper Series rp133, International Center for Financial Asset Management and Engineering.
    3. Peña, Juan Ignacio & Forte, Santiago, 2006. "Credit spreads: theory and evidence about the information content of stocks, bonds and cdss," DEE - Working Papers. Business Economics. WB wb063310, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
    4. Didier Cossin & Tomas Hricko & Daniel Aunon-Nerin & Zhijiang Huang, 2002. "Exploring for the Determinants of Credit Risk in Credit Default Swap Transaction Data: Is Fixed-Income Markets’ Information Suffcient to Evaluate Credit Risk?," FAME Research Paper Series rp65, International Center for Financial Asset Management and Engineering.
    5. Houweling, Patrick & Vorst, Ton, 2005. "Pricing default swaps: Empirical evidence," Journal of International Money and Finance, Elsevier, vol. 24(8), pages 1200-1225, December.
    6. Astrid Van Landschoot, 2004. "The Determinants of Credit Spreads," Financial Stability Review, National Bank of Belgium, vol. 2(1), pages 135-155, June.
    7. Astrid Van Landschoot, 2004. "Determinants of Euro Term Structure of Credit Spreads," Working Paper Research 57, National Bank of Belgium.
    8. Norden, Lars & Weber, Martin, 2004. "The comovement of credit default swap, bond and stock markets: An empirical analysis," CFS Working Paper Series 2004/20, Center for Financial Studies (CFS).
    9. Hull, John & Predescu, Mirela & White, Alan, 2004. "The relationship between credit default swap spreads, bond yields, and credit rating announcements," Journal of Banking & Finance, Elsevier, vol. 28(11), pages 2789-2811, November.
    10. Roberto Blanco & Simon Brennan & Ian W. Marsh, 2005. "An Empirical Analysis of the Dynamic Relation between Investment‐Grade Bonds and Credit Default Swaps," Journal of Finance, American Finance Association, vol. 60(5), pages 2255-2281, October.
    11. 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..
    12. 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.
    13. 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.
    14. Mr. Jorge A Chan-Lau & Ms. Yoon Sook Kim, 2004. "Equity Prices, Credit Default Swaps, and Bond Spreads in Emerging Markets," IMF Working Papers 2004/027, International Monetary Fund.
    15. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    16. Pierre Collin-Dufresn & Robert S. Goldstein & J. Spencer Martin, 2001. "The Determinants of Credit Spread Changes," Journal of Finance, American Finance Association, vol. 56(6), pages 2177-2207, December.
    17. Van Landschoot, Astrid, 2004. "Determinants of euro term structure of credit spreads," Working Paper Series 397, European Central Bank.
    Full references (including those not matched with items on IDEAS)

    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. Carol Alexander & Andreas Kaeck, 2006. "Regimes in CDS Spreads: A Markov Switching Model of iTraxx Europe Indices," ICMA Centre Discussion Papers in Finance icma-dp2006-08, Henley Business School, University of Reading.
    2. Alexander, Carol & Kaeck, Andreas, 2008. "Regime dependent determinants of credit default swap spreads," Journal of Banking & Finance, Elsevier, vol. 32(6), pages 1008-1021, June.
    3. da Silva, Paulo Pereira & Rebelo, Paulo Tomaz & Afonso, Cristina, 2014. "Tail dependence of financial stocks and CDS markets: Evidence using copula methods and simulation-based inference," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 8, pages 1-27.
    4. Sorin Gabriel Anton, 2011. "The Local Determinants Of Emerging Market Sovereign Cds Spreads In The Context Of The Debt Crisis. An Explanatory Study "," Analele Stiintifice ale Universitatii "Alexandru Ioan Cuza" din Iasi - Stiinte Economice (1954-2015), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 58, pages 41-52, november.
    5. Roberto Blanco & Simon Brennan & Ian W Marsh, 2004. "An empirical analysis of the dynamic relationship between investment-grade bonds and credit default swaps," Bank of England working papers 211, Bank of England.
    6. Francis A. Longstaff & Sanjay Mithal & Eric Neis, 2005. "Corporate Yield Spreads: Default Risk or Liquidity? New Evidence from the Credit Default Swap Market," Journal of Finance, American Finance Association, vol. 60(5), pages 2213-2253, October.
    7. repec:wyi:journl:002109 is not listed on IDEAS
    8. Antonio Trujillo-Ponce & Reyes Samaniego-Medina & Clara Cardone-Riportella, 2014. "Examining what best explains corporate credit risk: accounting-based versus market-based models," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 15(2), pages 253-276, April.
    9. Benbouzid, Nadia & Mallick, Sushanta & Pilbeam, Keith, 2018. "The housing market and the credit default swap premium in the UK banking sector: A VAR approach," Research in International Business and Finance, Elsevier, vol. 44(C), pages 1-15.
    10. Song Han & Hao Zhou, 2016. "Effects of Liquidity on the Non-Default Component of Corporate Yield Spreads: Evidence from Intraday Transactions Data," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 6(03), pages 1-49, September.
    11. Lars Norden & Martin Weber, 2009. "The Co†movement of Credit Default Swap, Bond and Stock Markets: an Empirical Analysis," European Financial Management, European Financial Management Association, vol. 15(3), pages 529-562, June.
    12. Michael Adler & Jeong Song, 2010. "The behavior of emerging market sovereigns' credit default swap premiums and bond yield spreads," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 15(1), pages 31-58.
    13. Stephen Zamore & Kwame Ohene Djan & Ilan Alon & Bersant Hobdari, 2018. "Credit Risk Research: Review and Agenda," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 54(4), pages 811-835, March.
    14. repec:zbw:rwirep:0243 is not listed on IDEAS
    15. Kucuk, Ugur N., 2010. "Non-default Component of Sovereign Emerging Market Yield Spreads and its Determinants: Evidence from Credit Default Swap Market," MPRA Paper 27428, University Library of Munich, Germany.
    16. Benjamin Yibin Zhang & Hao Zhou & Haibin Zhu, 2009. "Explaining Credit Default Swap Spreads with the Equity Volatility and Jump Risks of Individual Firms," The Review of Financial Studies, Society for Financial Studies, vol. 22(12), pages 5099-5131, December.
    17. Hassan, M. Kabir & Ngene, Geoffrey M. & Yu, Jung-Suk, 2015. "Credit default swaps and sovereign debt markets," Economic Systems, Elsevier, vol. 39(2), pages 240-252.
    18. Becchetti, Leonardo & Carpentieri, Andrea & Hasan, Iftekhar, 2009. "The determinants of option-adjusted delta credit spreads : a comparative analysis of the United States, the United Kingdom and the euro area," Research Discussion Papers 34/2009, Bank of Finland.
    19. Haibin Zhu, 2006. "An Empirical Comparison of Credit Spreads between the Bond Market and the Credit Default Swap Market," Journal of Financial Services Research, Springer;Western Finance Association, vol. 29(3), pages 211-235, June.
    20. Delatte, Anne-Laure & Gex, Mathieu & López-Villavicencio, Antonia, 2012. "Has the CDS market influenced the borrowing cost of European countries during the sovereign crisis?," Journal of International Money and Finance, Elsevier, vol. 31(3), pages 481-497.
    21. Su-Lien Lu & Kuo-Jung Lee, 2021. "Investigating the Determinants of Credit Spread Using a Markov Regime-Switching Model: Evidence from Banks in Taiwan," Sustainability, MDPI, vol. 13(17), pages 1-25, August.
    22. Tang, Dragon Yongjun & Yan, Hong, 2010. "Market conditions, default risk and credit spreads," Journal of Banking & Finance, Elsevier, vol. 34(4), pages 743-753, April.

    More about this item

    Keywords

    Bond; Co integration; Credit; Risk Neutrality;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C19 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Other
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G19 - Financial Economics - - General Financial Markets - - - Other

    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:nbb:reswpp:200611-16. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/bnbgvbe.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.