Comparer des méthodes

	Système de notation CAMELS	Notation de crédit (Tableaux de scores, WoE/IV)	Analyse DuPont
Domaine	Finance	Finance	Finance
Famille	Process / pipeline	Regression model	Regression model
Année d'origine	1998	1997	2008
Auteur d'origine	US bank supervisory framework; Cole & Gunther	Hand & Henley; Thomas, Edelman & Crook	DuPont Corporation; Soliman
Type	Composite supervisory rating	Supervised binary classification model	Profitability decomposition framework
Source fondatrice	Cole, R. A., & Gunther, J. W. (1998). Predicting bank failures: A comparison of on- and off-site monitoring systems. Journal of Financial Services Research, 13(2), 103–117.	Hand, D. J., & Henley, W. E. (1997). Statistical classification methods in consumer credit scoring: a review. Journal of the Royal Statistical Society: Series A, 160(3), 523–541.	Soliman, M. T. (2008). The use of DuPont analysis by market participants. The Accounting Review, 83(3), 823–853.
Alias	CAMELS Framework, Uniform Financial Institutions Rating System, UFIRS, CAMELS Derecelendirme Sistemi	Credit Scorecard, Application Scoring, Behavioural Scoring, Kredi Skorlama	DuPont Decomposition, DuPont Identity, Return on Equity Decomposition, DuPont Analizi
Apparentées	3	3	2
Résumé	The CAMELS Rating System is a supervisory framework used by US bank regulators to evaluate the overall condition of financial institutions across six dimensions: Capital Adequacy, Asset Quality, Management, Earnings, Liquidity, and Sensitivity to Market Risk. Each component is scored on a scale of 1 (strong) to 5 (critically deficient), and a composite score is assigned based on examiner judgment. Developed in the US federal banking regulatory context, CAMELS emerged as the standard on-site examination tool and has since been adopted and adapted by regulators globally.	Credit scoring is a statistical technique that estimates the probability that a borrower will default on a financial obligation. Using Weight of Evidence (WoE) binning, Information Value (IV) variable selection, and logistic regression, it converts raw applicant data into a single integer score. Formalized by Hand and Henley (1997) and elaborated by Thomas, Edelman, and Crook, the scorecard framework has become the regulatory standard for retail credit risk assessment in banking, lending, and insurance.	DuPont Analysis is a financial performance framework that decomposes Return on Equity (ROE) into three multiplicative components: net profit margin, asset turnover, and the equity multiplier. Originally developed by engineers at DuPont Corporation in the early 1920s, the method gained renewed academic prominence through Soliman (2008), who demonstrated that market participants exploit DuPont decompositions to forecast future earnings and to distinguish sustainable from transient profitability.