IDEAS home Printed from https://ideas.repec.org/a/kap/revdev/v17y2014i1p1-37.html
   My bibliography  Save this article

An analytical approach for systematic risk sensitivity of structured finance products

Author

Listed:
  • Arndt Claußen
  • Sebastian Löhr
  • Daniel Rösch

Abstract

The global financial crisis has shown that many financial institutions dealing with credit derivatives were exposed to severe unexpected losses. This indicates that systematic influences are decisively underestimated particularly with regard to structured products like securitized tranches of collateralized debt obligations. Our analytical study addresses these systematic effects: We provide a simple model which allows a closed-form comparison of both bonds and tranches with respect to their systematic risk. We demonstrate that the exposure to systematic risk of tranches may be many times higher than the exposure of bonds, even if both products share the same rating grade, e.g., an ‘AAA’ rating, measured by either default probability or expected loss. Particularly in economic downturns, default rates of tranches may be multiples of those of bonds. Our results help understand high default rates of tranches during the financial crisis and show that classical ratings are insufficient metrics for measuring risks of structured products. Copyright Springer Science+Business Media New York 2014

Suggested Citation

  • Arndt Claußen & Sebastian Löhr & Daniel Rösch, 2014. "An analytical approach for systematic risk sensitivity of structured finance products," Review of Derivatives Research, Springer, vol. 17(1), pages 1-37, April.
    • Handle: RePEc:kap:revdev:v:17:y:2014:i:1:p:1-37
    DOI: 10.1007/s11147-013-9089-1
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11147-013-9089-1
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11147-013-9089-1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ingo Fender & Nikola Tarashev & Haibin Zhu, 2008. "Credit fundamentals, ratings and value-at-risk: CDOs versus corporate exposures," BIS Quarterly Review, Bank for International Settlements, March.
    2. Gordy, Michael B., 2000. "A comparative anatomy of credit risk models," Journal of Banking & Finance, Elsevier, vol. 24(1-2), pages 119-149, January.
    3. 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.
    4. Joshua D. Coval & Jakub W. Jurek & Erik Stafford, 2009. "Economic Catastrophe Bonds," American Economic Review, American Economic Association, vol. 99(3), pages 628-666, June.
    5. Gordy, Michael B. & Howells, Bradley, 2006. "Procyclicality in Basel II: Can we treat the disease without killing the patient?," Journal of Financial Intermediation, Elsevier, vol. 15(3), pages 395-417, July.
    6. Gordy, Michael B., 2003. "A risk-factor model foundation for ratings-based bank capital rules," Journal of Financial Intermediation, Elsevier, vol. 12(3), pages 199-232, July.
    7. Francesca Di Girolamo & Henrik Jonsson & Francesca Campolongo & Wim Schoutens, 2012. "Sense and Sensitivity: An Input Space Odyssey for Asset-Backed Security Ratings," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 3(4), pages 46-68, October.
    8. Joshua Coval & Jakub Jurek & Erik Stafford, 2009. "The Economics of Structured Finance," Journal of Economic Perspectives, American Economic Association, vol. 23(1), pages 3-25, Winter.
    9. Damiano Brigo & Kyriakos Chourdakis, 2009. "Counterparty Risk For Credit Default Swaps: Impact Of Spread Volatility And Default Correlation," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 12(07), pages 1007-1026.
    10. Jan Pieter Krahnen & Christian Wilde, 2008. "Risk Transfer with CDOs," Working Paper Series: Finance and Accounting 187, Department of Finance, Goethe University Frankfurt am Main.
    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. Daniel Rösch & Harald Scheule, 2014. "Forecasting Mortgage Securitization Risk Under Systematic Risk and Parameter Uncertainty," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 81(3), pages 563-586, September.
    2. Lützenkirchen, Kristina & Rösch, Daniel & Scheule, Harald, 2013. "Ratings based capital adequacy for securitizations," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 5236-5247.
    3. Joël Bessis, 2009. "Risk Management in Banking," Post-Print hal-00494876, HAL.
    4. Wojtowicz, Marcin, 2014. "CDOs and the financial crisis: Credit ratings and fair premia," Journal of Banking & Finance, Elsevier, vol. 39(C), pages 1-13.
    5. Claudio Borio & Mathias Drehmann, 2011. "Toward an Operational Framework for Financial Stability: “Fuzzy” Measurement and Its Consequences," Central Banking, Analysis, and Economic Policies Book Series, in: Rodrigo Alfaro (ed.),Financial Stability, Monetary Policy, and Central Banking, edition 1, volume 15, chapter 4, pages 063-123, Central Bank of Chile.
    6. Marc Gürtler & Dirk Heithecker, 2006. "Modellkonsistente Bestimmung des LGD im IRB-Ansatz von Basel II," Schmalenbach Journal of Business Research, Springer, vol. 58(5), pages 554-587, August.
    7. Mählmann, Thomas, 2012. "Did investors outsource their risk analysis to rating agencies? Evidence from ABS-CDOs," Journal of Banking & Finance, Elsevier, vol. 36(5), pages 1478-1491.
    8. Magdalena Pisa & Dennis Bams & Christian Wolff, 2012. "Modeling default correlation in a US retail loan portfolio," LSF Research Working Paper Series 12-19, Luxembourg School of Finance, University of Luxembourg.
    9. Ambrocio, Gene & Jokivuolle, Esa, 2017. "Should bank capital requirements be less risk-sensitive because of credit constraints?," Bank of Finland Research Discussion Papers 10/2017, Bank of Finland.
    10. Caballero, Diego & Lucas, André & Schwaab, Bernd & Zhang, Xin, 2020. "Risk endogeneity at the lender/investor-of-last-resort," Journal of Monetary Economics, Elsevier, vol. 116(C), pages 283-297.
    11. Düllmann, Klaus & Kunisch, Michael & Küll, Jonathan, 2008. "Estimating asset correlations from stock prices or default rates: which method is superior?," Discussion Paper Series 2: Banking and Financial Studies 2008,04, Deutsche Bundesbank.
    12. Maria Stefanova, 2012. "Recovery Risiko in der Kreditportfoliomodellierung," Springer Books, Springer, number 978-3-8349-4226-5, June.
    13. Carling, Kenneth & Rönnegård, Lars & Roszbach, Kasper, 2004. "Is Firm Interdependence within Industries Important for Portfolio Credit Risk?," Working Paper Series 168, Sveriges Riksbank (Central Bank of Sweden).
    14. Gürtler, Marc & Heithecker, Dirk, 2004. "Modellkonsistente Bestimmung des LGD im IRB-Ansatz von Basel II," Working Papers FW08V3, Technische Universität Braunschweig, Institute of Finance.
    15. Yagüe Gurucharri, Miguel & García-Hiernaux, Alfredo & Jerez, Miguel, 1974. "Rethinking Basel III and beyond: a theory model to understand credit allocation and real state bubbles," MPRA Paper 119559, University Library of Munich, Germany, revised 18 Dec 2023.
    16. Dietsch, Michel & Düllmann, Klaus & Fraisse, Henri & Koziol, Philipp & Ott, Christine, 2016. "Support for the SME supporting factor: Multi-country empirical evidence on systematic risk factor for SME loans," Discussion Papers 45/2016, Deutsche Bundesbank.
    17. Varotto, Simone, 2012. "Stress testing credit risk: The Great Depression scenario," Journal of Banking & Finance, Elsevier, vol. 36(12), pages 3133-3149.
    18. Benjamin Bade & Daniel Rösch & Harald Scheule, 2011. "Default and Recovery Risk Dependencies in a Simple Credit Risk Model," European Financial Management, European Financial Management Association, vol. 17(1), pages 120-144, January.
    19. Carling, Kenneth & Jacobson, Tor & Linde, Jesper & Roszbach, Kasper, 2007. "Corporate credit risk modeling and the macroeconomy," Journal of Banking & Finance, Elsevier, vol. 31(3), pages 845-868, March.
    20. Adrian, Tobias, 2017. "Risk Management and Regulation," CEPR Discussion Papers 12422, C.E.P.R. Discussion Papers.

    More about this item

    Keywords

    Credit derivatives; CDO; Bond; Ratings; Systematic risk; C16; C50; G21; G24;
    All these keywords.

    JEL classification:

    • C16 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Econometric and Statistical Methods; Specific Distributions
    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G24 - Financial Economics - - Financial Institutions and Services - - - Investment Banking; Venture Capital; Brokerage

    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:kap:revdev:v:17:y:2014:i:1:p:1-37. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.