Alternative Ways for Loss-Given-Default Estimation in Retail Banking

  • Alexey MasyutinEmail author
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 436)


The cornerstone of retail banking risk management is the estimation of the expected losses when granting a loan to the borrower. The expected losses are determined by three parameters. The first is the probability of default (PD) of the borrower. The methods of PD estimation were studied in detail by previous authors, and the most common method is credit scorecard development. The second parameter is exposure at default (EAD). Except for revolving loans, it is known in advance, it is the current balance (principal amount plus accrued interests) of the loan. Finally, there is a third parameter that defines the expected losses. This is the so-called loss given default (LGD) which is in effect the share of EAD, which is irretrievably lost in the event of default. This paper discusses several econometric techniques which allow one to obtain estimates of the LGD parameter.


LGD Survival analysis Kaplan-Meier estimator Cox regression Beta-regression Recovery rate 



Author would like to express his gratitude to Ivan Medvedev, Head of Retail Risks at RN Bank (former RCI Banque representative office) for being a guide in the world of banking risk management.


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.National Research University Higher School of EconomicsMoscowRussia

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