IDEAS home Printed from https://ideas.repec.org/p/icr/wpmath/12-2005.html
   My bibliography  Save this paper

Calibrating risk-neutral default correlation

Author

Listed:
  • Elisa Luciano

Abstract

The implementation of credit risk models has largely relied on the use of historical default dependence, as proxied by the correlation of equity returns. However, as is well known, credit derivative pricing requires risk-neutral dependence. Using the copula methodology, we infer risk neutral dependence from CDS data. We also provide a market application and explore its impact on the fees of some credit derivatives.

Suggested Citation

  • Elisa Luciano, 2005. "Calibrating risk-neutral default correlation," ICER Working Papers - Applied Mathematics Series 12-2005, ICER - International Centre for Economic Research.
  • Handle: RePEc:icr:wpmath:12-2005
    as

    Download full text from publisher

    File URL: http://www.bemservizi.unito.it/repec/icr/wp2005/ICERwp12-05.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Roberto Blanco & Simon Brennan & Ian W. Marsh, 2004. "An empirical analysis of the dynamic relationship between investment grade bonds and credit default swaps," Working Papers 0401, Banco de España.
    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. Kwamie Dunbar & Albert J. Edwards, 2007. "Empirical Analysis of Credit Risk Regime Switching and Temporal Conditional Default Correlation in Credit Default Swap Valuation: The Market liquidity effect," Working papers 2007-10, University of Connecticut, Department of Economics.

    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. Mariya Paskaleva & Ani Stoitsova-Stoykova, 2017. "Linkages and Efficiency Between iTraxx Europe and Financial Market Dynamics in South-East Europe Capital Markets in Post-crisis Period," International Journal of Economics and Financial Issues, Econjournals, vol. 7(3), pages 172-179.
    2. Elisa Luciano, 2007. "Calibrating risk‐neutral default correlation," Journal of Risk Finance, Emerald Group Publishing Limited, vol. 8(5), pages 450-464, November.
    3. Salvador Barrios & Per Iversen & Magdalena Lewandowska & Ralph Setzer, 2009. "Determinants of intra-euro area government bond spreads during the financial crisis," European Economy - Economic Papers 2008 - 2015 388, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    4. Schulz, Alexander & Stapf, Jelena, 2009. "Price discovery on traded inflation expectations: does the financial crisis matter?," Discussion Paper Series 1: Economic Studies 2009,25, Deutsche Bundesbank.
    5. Rene M. Stulz, 2010. "Credit Default Swaps and the Credit Crisis," Journal of Economic Perspectives, American Economic Association, vol. 24(1), pages 73-92, Winter.
    6. Vogel, Heinz-Dieter & Bannier, Christina E. & Heidorn, Thomas, 2013. "Functions and characteristics of corporate and sovereign CDS," Frankfurt School - Working Paper Series 203, Frankfurt School of Finance and Management.
    7. M. Kabir Hassan & Thiti S. Ngow & Jung Suk-Yu, 2011. "Determinants of Credit Default Swaps in International Markets," NFI Working Papers 2011-WP-01, Indiana State University, Scott College of Business, Networks Financial Institute.
    8. Adela Luque, 2005. "Skill mix and technology in Spain: evidence from firm level data," Working Papers 0513, Banco de España.
    9. Delis, Manthos D. & Mylonidis, Nikolaos, 2011. "The chicken or the egg? A note on the dynamic interrelation between government bond spreads and credit default swaps," Finance Research Letters, Elsevier, vol. 8(3), pages 163-170, September.
    10. Gann, Philipp & Laut, Amelie, 2008. "Einflussfaktoren auf den Credit Spread von Unternehmensanleihen," Discussion Papers in Business Administration 4231, University of Munich, Munich School of Management.
    11. Clemens Kool, 2006. "Financial Stability in European Banking: The Role of Common Factors," Open Economies Review, Springer, vol. 17(4), pages 525-540, December.
    12. Nathalie Rey, 2009. "Credit derivatives: instruments of hedging and factors of instability. The example of “Credit Default Swaps” on French reference entities," CEPN Working Papers hal-00433883, HAL.
    13. Caporale, Guglielmo Maria & Girardi, Alessandro, 2013. "Price discovery and trade fragmentation in a multi-market environment: Evidence from the MTS system," Journal of Banking & Finance, Elsevier, vol. 37(2), pages 227-240.
    14. 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.
    15. Guglielmo Maria Caporale & Alessandro Girardi, 2011. "Price formation on the EuroMTS platform," Applied Economics Letters, Taylor & Francis Journals, vol. 18(3), pages 229-233.
    16. 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.
    17. C. N. V. Krishnan & Peter H. Ritchken & James B. Thomson, 2007. "On forecasting the term structure of credit spreads," Working Papers (Old Series) 0705, Federal Reserve Bank of Cleveland.
    18. 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.
    19. Rohan Churm & Nikolaos Panigirtzoglou, 2005. "Decomposing credit spreads," Bank of England working papers 253, Bank of England.
    20. Völz, Manja & Wedow, Michael, 2009. "Does banks size distort market prices? Evidence for too-big-to-fail in the CDS market," Discussion Paper Series 2: Banking and Financial Studies 2009,06, Deutsche Bundesbank.

    More about this item

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:icr:wpmath:12-2005. 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: Daniele Pennesi (email available below). General contact details of provider: https://edirc.repec.org/data/icerrit.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.