Сравнение на методи

	Система за оценка CAMELS	Z-критерий на Алтман: Прогнозиране на корпоративен фалит	Анализ Дюпон
Област	Финанси	Финанси	Финанси
Семейство	Process / pipeline	Regression model	Regression model
Година на възникване	1998	1968	2008
Създател	US bank supervisory framework; Cole & Gunther	Edward Altman	DuPont Corporation; Soliman
Тип	Composite supervisory rating	Multiple discriminant analysis scoring model	Profitability decomposition framework
Основополагащ източник	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.	Altman, E. I. (1968). Financial ratios, discriminant analysis and the prediction of corporate bankruptcy. The Journal of Finance, 23(4), 589–609.	Soliman, M. T. (2008). The use of DuPont analysis by market participants. The Accounting Review, 83(3), 823–853.
Други названия	CAMELS Framework, Uniform Financial Institutions Rating System, UFIRS, CAMELS Derecelendirme Sistemi	Altman's Z-Score Model, Multiple Discriminant Analysis Bankruptcy Model, Z-Score Financial Distress Model, Altman Z-Skoru	DuPont Decomposition, DuPont Identity, Return on Equity Decomposition, DuPont Analizi
Свързани	3	3	2
Резюме	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.	The Altman Z-Score is a linear discriminant model developed by Edward I. Altman in 1968 to predict corporate bankruptcy using five accounting-based financial ratios. Derived through multiple discriminant analysis on a matched sample of 66 US manufacturing firms, the model combines liquidity, profitability, leverage, solvency, and activity ratios into a single composite score that classifies firms as financially sound, distressed, or in a grey zone.	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.