Estimating expected loss given default in an emerging market: the case of Czech Republic

Jakub Seidler, Roman Horvath and Petr Jakubík

Journal of Financial Transformation, 2009, vol. 27, 103-107

Abstract: This article discusses the estimation of a key credit risk parameter – loss given default (LGD) – and calculates it for selected companies traded on the Prague Stock Exchange. The importance of estimating LGD stems from the fact that a lender‟s expected loss is the product of the probability of default, the credit exposure at the time of default, and the LGD. The Mertonian structural approach is used for LGD estimation. This technique makes it possible to derive LGD for publicly traded companies based on their debt and share prices. Our results indicate that the LGD has increased substantially during the current financial crisis, but not exceeding the levels reached over a decade ago, when the Czech Republic experienced rather unfavorable economic conditions. Next, we put forward that our resulting LGD calculated for main companies traded on the Prague Stock Exchange represents a lower estimate of this parameter for the entire corporate sector. This suggests that credit risk management strategies for the corporate sector should be more conservative than what our estimates imply.

Keywords: Credit risk; loss given default; Prague Stock Exchange (search for similar items in EconPapers)
JEL-codes: G10 G32 (search for similar items in EconPapers)
Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:ris:jofitr:1390

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