Consumer credit scoring: do situational circumstances matter?
AbstractAlthough credit history scoring offers benefits to lenders and borrowers, failure to consider situational circumstances raises important statistical issues that may affect the ability of scoring systems to accurately quantify an individual's credit risk. Evidence from a national sample of credit reporting agency records suggests that failure to consider measures of local economic circumstances and individual trigger events when developing credit history scores can diminish the potential effectiveness of such models. There are practical difficulties, however, associated with developing scoring models that incorporate situational data, arising largely because of inherent limitations of the credit reporting agency databases used to build scoring models.
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Bibliographic InfoPaper provided by Bank for International Settlements in its series BIS Working Papers with number 146.
Length: 24 pages
Date of creation: Jan 2004
Date of revision:
Credit scoring; Consumer credit; Credit risk;
Find related papers by JEL classification:
- G2 - Financial Economics - - Financial Institutions and Services
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- Robert M. Hunt, 2002. "The development and regulation of consumer credit reporting in America," Working Papers 02-21, Federal Reserve Bank of Philadelphia.
- Rodrigo Alfaro & Natalia Gallardo & Roberto Stein, 2010. "The Determinants of Household Debt Defa," Working Papers Central Bank of Chile 574, Central Bank of Chile.
- Souphala Chomsisengphet & Ronel Elul, 2005. "Bankruptcy exemptions, credit history, and the mortgage market," Working Papers 04-14, Federal Reserve Bank of Philadelphia.
- Fabio de Andrade & Lyn Thomas, 2004.
"Structural Models In Consumer Credit,"
Risk and Insurance
- Iulia Iuga & Ruxandra Lazea, 2012. "Study Regarding The Influence Of The Unemployment Rate Over Non-Performing Loans In Romania Using The Correlation Indicator," Annales Universitatis Apulensis Series Oeconomica, Faculty of Sciences, "1 Decembrie 1918" University, Alba Iulia, vol. 2(14), pages 18.
- Khandani, Amir E. & Kim, Adlar J. & Lo, Andrew W., 2010. "Consumer credit-risk models via machine-learning algorithms," Journal of Banking & Finance, Elsevier, vol. 34(11), pages 2767-2787, November.
- Javier Gutiérrez Rueda & Dairo Estrada & Laura Capera, . "Un análisis del endeudamiento de los hogares," Temas de Estabilidad Financiera 061, Banco de la Republica de Colombia.
- Arindam Bandyopadhyay & Asish Saha, 2011. "Distinctive demand and risk characteristics of residential housing loan market in India," Journal of Economic Studies, Emerald Group Publishing, vol. 38(6), pages 703-724, November.
- Evžen Kocenda & Martin Vojtek, 2009. "Default Predictors and Credit Scoring Models for Retail Banking," CESifo Working Paper Series 2862, CESifo Group Munich.
- Federico Ferretti, 2007. "Consumer credit information systems: a critical review of the literature. Too little attention paid by Lawyers?," European Journal of Law and Economics, Springer, vol. 23(1), pages 71-88, February.
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