방법 비교
선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.
| CAMELS 평가 시스템× | Altman Z-Score: 기업 파산 예측× | |
|---|---|---|
| 분야 | 재무학 | 재무학 |
| 계열≠ | Process / pipeline | Regression model |
| 기원 연도≠ | 1998 | 1968 |
| 창시자≠ | US bank supervisory framework; Cole & Gunther | Edward Altman |
| 유형≠ | Composite supervisory rating | Multiple discriminant analysis scoring model |
| 원전≠ | 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. DOI ↗ | Altman, E. I. (1968). Financial ratios, discriminant analysis and the prediction of corporate bankruptcy. The Journal of Finance, 23(4), 589–609. DOI ↗ |
| 별칭 | 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 |
| 관련 | 3 | 3 |
| 요약≠ | 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. |
| ScholarGate데이터셋 ↗ |
|
|