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Implied Market Loss Given Default in the Czech Republic: Structural-Model Approach

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Abstract

This paper focuses on the key credit risk parameter – Loss Given Default (LGD). We describe its general properties and determinants with respect to seniority of debt, characteristics of debtors and macroeconomic conditions. Furthermore, we illustrate how the LGD can be extracted from market observable information with help of the adjusted Mertonian structural approach. We present a derivation of the formula for the expected LGD and show its sensitivity with respect to other structural company parameters. Finally, we estimate the 5-year expected LGDs for companies listed on the Prague Stock Exchange and find that the average LGD for this analyzed sample is in the range of 20–45 %. To the authors’ knowledge, these are the first implied market estimates of LGD in the Czech Republic.

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Bibliographic Info

Article provided by Charles University Prague, Faculty of Social Sciences in its journal Finance a uver - Czech Journal of Economics and Finance.

Volume (Year): 59 (2009)
Issue (Month): 1 (January)
Pages: 20-40

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Handle: RePEc:fau:fauart:v:59:y:2009:i:1:p:20-40

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Keywords: loss given default; credit risk; structural models;

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References

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  1. Radovan Chalupka & Juraj Kopecsni, 2008. "Modelling Bank Loan LGD of Corporate and SME Segments: A Case Study," Working Papers IES 2008/27, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Nov 2008.
  2. Gregor Andrade & Steven N. Kaplan, 1997. "How Costly is Financial (not Economic) Distress? Evidence from Highly Leveraged Transactions that Became Distressed," NBER Working Papers 6145, National Bureau of Economic Research, Inc.
  3. Black, Fischer & Cox, John C, 1976. "Valuing Corporate Securities: Some Effects of Bond Indenture Provisions," Journal of Finance, American Finance Association, vol. 31(2), pages 351-67, May.
  4. 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 449-70, May.
  5. Jakub Seidler, 2008. "Implied Market Loss Given Default: structural-model approach," Working Papers IES 2008/26, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Oct 2008.
  6. Black, Fischer & Scholes, Myron S, 1973. "The Pricing of Options and Corporate Liabilities," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 637-54, May-June.
  7. Franks, Julian R & Torous, Walter N, 1989. " An Empirical Investigation of U.S. Firms in Reorganization," Journal of Finance, American Finance Association, vol. 44(3), pages 747-69, July.
  8. Crouhy, Michel & Galai, Dan & Mark, Robert, 2000. "A comparative analysis of current credit risk models," Journal of Banking & Finance, Elsevier, vol. 24(1-2), pages 59-117, January.
  9. French, Kenneth R., 1980. "Stock returns and the weekend effect," Journal of Financial Economics, Elsevier, vol. 8(1), pages 55-69, March.
  10. 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.
  11. Geske, Robert, 1977. "The Valuation of Corporate Liabilities as Compound Options," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 12(04), pages 541-552, November.
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Citations

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Cited by:
  1. Katerina Arnostova & Jozef Barunik & Jan Filacek & Michal Franta & David Havrlant & Roman Horvath & Filip Novotny & Marie Rakova & Lubos Ruzicka & Branislav Saxa & Katerina Smidkova & Peter Toth, 2012. "Macroeconomic Forecasting: Methods, Accuracy and Coordination," Occasional Publications - Edited Volumes, Czech National Bank, Research Department, edition 1, volume 10, number rb10/1 edited by Jan Babecky, May.
  2. J. Baixauli & Susana Alvarez, 2012. "Implied Severity Density Estimation: An Extended Semiparametric Method to Compute Credit Value at Risk," Computational Economics, Society for Computational Economics, vol. 40(2), pages 115-129, August.
  3. Russ, Katheryn N. & Valderrama, Diego, 2009. "A Theory of Banks, Bonds, and the Distribution of Firm Size," Working Papers 09-16, University of California at Davis, Department of Economics.
  4. Radovan Chalupka & Juraj Kopecsni, 2008. "Modelling Bank Loan LGD of Corporate and SME Segments: A Case Study," Working Papers IES 2008/27, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Nov 2008.
  5. Jaromir Baxa & Jiri Bohm & Roman Horvath & Lubos Komarek & Petr Kral & Magdalena Morgese Borys & Filip Rozsypal & Branislav Saxa & Borek Vasicek, 2011. "Monetary Policy Analysis in a Central Bank," Occasional Publications - Edited Volumes, Czech National Bank, Research Department, edition 1, volume 9, number rb09/1 edited by Jan Babecky & Roman Horvath, May.
  6. Petr Jakubik & Jakub Seidler, 2009. "Estimating Expected Loss Given Default," Occasional Publications - Chapters in Edited Volumes, in: CNB Financial Stability Report 2008/2009, chapter 0, pages 102-109 Czech National Bank, Research Department.
  7. Jan Babecky & Alena Bicakova & Alexis Derviz & Tomas Havranek & Roman Horvath & Lubos Komarek & Zlatuse Komarkova & Jakub Mateju & Ke Pang & Renata Pasalicova & Zuzana Prelcova & Marie Rakova & Pierre, 2011. "Macro-Financial Linkages: Theory and Applications," Occasional Publications - Edited Volumes, Czech National Bank, Research Department, edition 2, volume 9, number rb09/2 edited by Jan Babecky, May.

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