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Default Recovery Rates in Credit Risk Modelling: A Review of the Literature and Empirical Evidence

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Author Info
Edward Altman
Andrea Resti
Andrea Sironi

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Abstract

Evidence from many countries in recent years suggests that collateral values and recovery rates (RRs) on corporate defaults can be volatile and, moreover, that they tend to go down just when the number of defaults goes up in economic downturns. This link between RRs and default rates has traditionally been neglected by credit risk models, as most of them focused on default risk and adopted static loss assumptions, treating the RR either as a constant parameter or as a stochastic variable independent from the probability of default (PD). This traditional focus on default analysis has been partly reversed by the recent significant increase in the number of studies dedicated to the subject of recovery-rate estimation and the relationship between default and RRs. This paper presents a detailed review of the way credit risk models, developed during the last 30 years, treat the RR and, more specifically, its relationship with the PD of an obligor. Recent empirical evidence concerning this issue is also presented and discussed. Copyright Banca Monte dei Paschi di Siena SpA, 2004

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Article provided by Banca Monte dei Paschi di Siena SpA in its journal Economic Notes.

Volume (Year): 33 (2004)
Issue (Month): 2 (07)
Pages: 183-208
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Handle: RePEc:bla:ecnote:v:33:y:2004:i:2:p:183-208

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  1. Eric Wong & Cho-Hoi Hui, 2009. "A Liquidity Risk Stress-Testing Framework with Interaction between Market and Credit Risks," Working Papers 0906, Hong Kong Monetary Authority. [Downloadable!]
  2. Jan Willem van den End & Marco Hoeberichts & Mostafa Tabbae, 2006. "Modelling Scenario Analysis and Macro Stress-testing," DNB Working Papers 119, Netherlands Central Bank, Research Department. [Downloadable!]
  3. Gaspar, Raquel M. & Slinko, Irina, 2005. "Correlation Between Intensity and Recovery in Credit Risk Models," Working Paper Series in Economics and Finance 614, Stockholm School of Economics. [Downloadable!]
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