Modelling LGD Using Survival Analysis

Loss Given Default (LGD) is one of the key parameters needed in order to estimate expected and unexpected credit losses necessary for credit pricing as well as for calculation of the regulatory Basel II requirement (BCBS, 2006). While the credit rating and probability of default (PD) techniques have been well developed in recent decades, LGD has attracted little attention before 2000s.In this paper, We compare linear regression and survival analysis models for modelling recovery rates and recovery amounts, in order to predict the LGD for unsecured consumer loans or credit cards.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-06
DOI
https://doi.org/10.5281/zenodo.17540676
Primary Topic
Credit Risk and Financial Regulations
Type
article
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article

Modelling LGD Using Survival Analysis

Zenodo (CERN European Organization for Nuclear Research)
Credit Risk and Financial Regulations
article

Modelling LGD Using Survival Analysis

article en

Abstract

Loss Given Default (LGD) is one of the key parameters needed in order to estimate expected and unexpected credit losses necessary for credit pricing as well as for calculation of the regulatory Basel II requirement (BCBS, 2006). While the credit rating and probability of default (PD) techniques have been well developed in recent decades, LGD has attracted little attention before 2000s.In this paper, We compare linear regression and survival analysis models for modelling recovery rates and recovery amounts, in order to predict the LGD for unsecured consumer loans or credit cards.

Zenodo (CERN European Organization for Nuclear Research)
Ferdowsi University of Mashhad (IR)
Openalex Percentile: Top 36%
Credit Risk and Financial Regulations
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Modelling LGD Using Survival Analysis · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS