IDEAS home Printed from https://ideas.repec.org/p/fip/fedbqu/qau07-5.html
   My bibliography  Save this paper

Asset liquidity, debt valuation and credit risk

Author

Listed:
  • Ethan Cohen-Cole

Abstract

This paper presents a structural debt valuation model that links default probabilities and recovery rates of corporate securities to asset market liquidity. This linking is advantageous for risk management and regulation of financial institutions in that it provides a method of calibrating the relationship between probability of default (PD) and loss given default (LGD). Two innovations in the paper are the placing of the default point in a model of debt valuation into general equilibrium and conditioning this point on market factors such as asset liquidity. These allow one to derive implications on the correlation between various components of the model. Specifically, it finds two relationships between the probability of default (PD) and loss given default (LGD) of a debt instrument; temporal correlations are positive and cross-sectional ones negative. Such findings confirm the intuition of existing reduced form approaches and provide the ability to inspect other properties of the relationship that derive from theory. For example, one can use the model to forecast LGD. Some empirical validation of the theoretical results is provided.

Suggested Citation

  • Ethan Cohen-Cole, 2007. "Asset liquidity, debt valuation and credit risk," Supervisory Research and Analysis Working Papers QAU07-5, Federal Reserve Bank of Boston.
  • Handle: RePEc:fip:fedbqu:qau07-5
    as

    Download full text from publisher

    File URL: http://www.bostonfed.org/bankinfo/qau/wp/2007/qau0705.htm
    Download Restriction: no

    File URL: http://www.bostonfed.org/bankinfo/qau/wp/2007/qau0705.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Edward I. Altman & Andrea Resti & Andrea Sironi, 2002. "The link between default and recovery rates: effects on the procyclicality of regulatory capital ratios," BIS Working Papers 113, Bank for International Settlements.
    2. Williamson, Oliver E, 1988. " Corporate Finance and Corporate Governance," Journal of Finance, American Finance Association, vol. 43(3), pages 567-591, July.
    3. Edward Altman & Andrea Resti & Andrea Sironi, 2004. "Default Recovery Rates in Credit Risk Modelling: A Review of the Literature and Empirical Evidence," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 33(2), pages 183-208, July.
    4. Oliver Hart & John Moore, 1998. "Default and Renegotiation: A Dynamic Model of Debt," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(1), pages 1-41.
    5. Jose Lopez, 2009. "Empirical analysis of the average asset correlation for real estate investment trusts," Quantitative Finance, Taylor & Francis Journals, vol. 9(2), pages 217-229.
    6. Dixit, Avinash, 1993. "Choosing among alternative discrete investment projects under uncertainty," Economics Letters, Elsevier, vol. 41(3), pages 265-268.
    7. Acharya, Viral V. & Bharath, Sreedhar T. & Srinivasan, Anand, 2007. "Does industry-wide distress affect defaulted firms? Evidence from creditor recoveries," Journal of Financial Economics, Elsevier, vol. 85(3), pages 787-821, September.
    8. 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.
    9. Vasicek, Oldrich, 1977. "An equilibrium characterization of the term structure," Journal of Financial Economics, Elsevier, vol. 5(2), pages 177-188, November.
    10. Lopez, Jose A., 2004. "The empirical relationship between average asset correlation, firm probability of default, and asset size," Journal of Financial Intermediation, Elsevier, vol. 13(2), pages 265-283, April.
    11. Bruche, Max & González-Aguado, Carlos, 2010. "Recovery rates, default probabilities, and the credit cycle," Journal of Banking & Finance, Elsevier, vol. 34(4), pages 754-764, April.
    12. Edward I. Altman & Brooks Brady & Andrea Resti & Andrea Sironi, 2005. "The Link between Default and Recovery Rates: Theory, Empirical Evidence, and Implications," The Journal of Business, University of Chicago Press, vol. 78(6), pages 2203-2228, November.
    13. Todd C. Pulvino, 1998. "Do Asset Fire Sales Exist? An Empirical Investigation of Commercial Aircraft Transactions," Journal of Finance, American Finance Association, vol. 53(3), pages 939-978, June.
    14. Jon Frye, 2000. "Depressing recoveries," Emerging Issues, Federal Reserve Bank of Chicago, issue Oct.
    15. Delianedis, Gordon & Geske, Robert, 2001. "The Components of Corporate Credit Spreads: Default, Recovery, Tax, Jumps, Liquidity, and Market Factors," University of California at Los Angeles, Anderson Graduate School of Management qt32x284q3, Anderson Graduate School of Management, UCLA.
    16. Espen Eckbo, B. & Thorburn, S. Karin, 2008. "Automatic bankruptcy auctions and fire-sales," Journal of Financial Economics, Elsevier, vol. 89(3), pages 404-422, September.
    17. Per Strömberg, 2000. "Conflicts of Interest and Market Illiquidity in Bankruptcy Auctions: Theory and Tests," Journal of Finance, American Finance Association, vol. 55(6), pages 2641-2692, December.
    18. Jon Frye, 2000. "Collateral damage detected," Emerging Issues, Federal Reserve Bank of Chicago, issue Sep.
    19. Douglas W. Diamond, 1991. "Debt Maturity Structure and Liquidity Risk," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(3), pages 709-737.
    20. Eckbo, B Espen & Thorburn, Karin S, 2002. "Overbidding versus Fire-Sales in Bankruptcy Auctions," CEPR Discussion Papers 3240, C.E.P.R. Discussion Papers.
    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. Mora, Nada, 2015. "Creditor recovery: The macroeconomic dependence of industry equilibrium," Journal of Financial Stability, Elsevier, vol. 18(C), pages 172-186.
    2. Nada Mora, 2012. "What determines creditor recovery rates?," Economic Review, Federal Reserve Bank of Kansas City, vol. 97(Q II).
    3. Cangemi, Robert R. & Mason, Joseph R. & Pagano, Michael S., 2012. "Options-based structural model estimation of bond recovery rates," Journal of Financial Intermediation, Elsevier, vol. 21(3), pages 473-506.
    4. Jean-David Fermanian, 2020. "On the Dependence between Default Risk and Recovery Rates in Structural Models," Annals of Economics and Statistics, GENES, issue 140, pages 45-82.
    5. Acharya, Viral V. & Bharath, Sreedhar T. & Srinivasan, Anand, 2007. "Does industry-wide distress affect defaulted firms? Evidence from creditor recoveries," Journal of Financial Economics, Elsevier, vol. 85(3), pages 787-821, September.
    6. Nicolas Petrosky-Nadeau, 2014. "Credit, Vacancies and Unemployment Fluctuations," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 17(2), pages 191-205, April.
    7. Schläfer, Timo & Uhrig-Homburg, Marliese, 2014. "Is recovery risk priced?," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 257-270.
    8. Frank Ranganai Matenda & Mabutho Sibanda & Eriyoti Chikodza & Victor Gumbo, 2022. "Corporate Loan Recovery Rates under Downturn Conditions in a Developing Economy: Evidence from Zimbabwe," Risks, MDPI, vol. 10(10), pages 1-24, October.
    9. Lee, Shih-Cheng & Lin, Chien-Ting & Yang, Chih-Kai, 2011. "The asymmetric behavior and procyclical impact of asset correlations," Journal of Banking & Finance, Elsevier, vol. 35(10), pages 2559-2568, October.
    10. Zhang, Zhipeng, 2009. "Who Pulls the Plug? Theory and Evidence on Corporate Bankruptcy Decisions," MPRA Paper 17676, University Library of Munich, Germany, revised 05 Oct 2009.
    11. Candian, Giacomo & Dmitriev, Mikhail, 2020. "Default recovery rates and aggregate fluctuations," Journal of Economic Dynamics and Control, Elsevier, vol. 121(C).
    12. Abdelkader Derbali & Lamia Jamel, 2019. "Dependence of Default Probability and Recovery Rate in Structural Credit Risk Models: Case of Greek Banks," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 10(2), pages 711-733, June.
    13. Wang, Hong & Forbes, Catherine S. & Fenech, Jean-Pierre & Vaz, John, 2020. "The determinants of bank loan recovery rates in good times and bad – New evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 177(C), pages 875-897.
    14. Andrei Shleifer & Robert Vishny, 2011. "Fire Sales in Finance and Macroeconomics," Journal of Economic Perspectives, American Economic Association, vol. 25(1), pages 29-48, Winter.
    15. Linda Allen & Anthony Saunders, 2004. "Incorporating Systemic Influences Into Risk Measurements: A Survey of the Literature," Journal of Financial Services Research, Springer;Western Finance Association, vol. 26(2), pages 161-191, October.
    16. Viral V. Acharya & Douglas Gale & Tanju Yorulmazer, 2011. "Rollover Risk and Market Freezes," Journal of Finance, American Finance Association, vol. 66(4), pages 1177-1209, August.
    17. Albert Cohen & Nick Costanzino, 2017. "Bond and CDS Pricing via the Stochastic Recovery Black-Cox Model," Risks, MDPI, vol. 5(2), pages 1-28, April.
    18. Liuren Wu & Frank X. Zhang, 2005. "A no-arbitrage analysis of economic determinants of the credit spread term structure," Finance and Economics Discussion Series 2005-59, Board of Governors of the Federal Reserve System (U.S.).
    19. Carey, Mark & Gordy, Michael B., 2021. "The bank as Grim Reaper: Debt composition and bankruptcy thresholds," Journal of Financial Economics, Elsevier, vol. 142(3), pages 1092-1108.
    20. Viral V. Acharya & Hyun Song Shin & Tanju Yorulmazer, 2011. "Crisis Resolution and Bank Liquidity," The Review of Financial Studies, Society for Financial Studies, vol. 24(6), pages 2166-2205.

    More about this item

    Keywords

    Securities; Default (Finance);

    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:fip:fedbqu:qau07-5. 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: Catherine Spozio (email available below). General contact details of provider: https://edirc.repec.org/data/frbbous.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.