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Conditional probability of default methodology

Segoviano, Miguel A. (2006) Conditional probability of default methodology. Financial Markets Group Discussion Papers (558). Financial Markets Group, The London School of Economics and Political Science, London, UK.

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Abstract

This paper presents the Conditional Probability of Default (CoPoD) methodology for modelling the probabilities of loan defaults (PoDs) by small and medium size enterprises (SMEs) and unlisted firms as functions of identifiable macroeconomic and financial variables. The process of modelling PoDs represents a challenging task, since the time series of PoDs usually contain few observations, thus making ordinary least squares (OLS) estimation imprecise or unfeasible. CoPoD improves the measurement of the impact of macroeconomic variables on PoDs and consequently the measurement of loans’ credit risk through time, thereby making a twofold contribution. First, econometrically, it recovers estimators that show greater robustness than OLS estimators in finite sample settings under the Mean Square Error criterion. Second, economically, on the basis of economic theory and empirical evidence, CoPoD can incorporate a procedure to select a relevant set of macroeconomic explanatory variables that have an impact on the PoDs. We implement CoPoD with information from Norway and Mexico.

Item Type: Monograph (Discussion Paper)
Official URL: http://fmg.ac.uk
Additional Information: © 2006 The Author
Divisions: Financial Markets Group
Subjects: H Social Sciences > HG Finance
H Social Sciences > HB Economic Theory
JEL classification: C - Mathematical and Quantitative Methods > C0 - General > C00 - General
E - Macroeconomics and Monetary Economics > E0 - General > E00 - General
Date Deposited: 16 Jul 2009 14:07
Last Modified: 15 Sep 2023 23:04
URI: http://eprints.lse.ac.uk/id/eprint/24512

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