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Beneish M-Score: Detektovanje manipulacije zaradama×Altmanov Z-skor: Predviđanje korporativnog bankrota×
OblastFinansijeFinansije
PorodicaRegression modelRegression model
Godina nastanka19991968
TvoracMessod BeneishEdward Altman
TipProbabilistic forensic accounting modelMultiple discriminant analysis scoring model
Temeljni izvorBeneish, M. D. (1999). The detection of earnings manipulation. Financial Analysts Journal, 55(5), 24–36. DOI ↗Altman, E. I. (1968). Financial ratios, discriminant analysis and the prediction of corporate bankruptcy. The Journal of Finance, 23(4), 589–609. DOI ↗
Drugi naziviBeneish Model, M-Score Model, Earnings Manipulation Score, Beneish M-SkoruAltman's Z-Score Model, Multiple Discriminant Analysis Bankruptcy Model, Z-Score Financial Distress Model, Altman Z-Skoru
Srodne33
SažetakThe Beneish M-Score is a statistical model developed by Messod Beneish in 1999 to identify whether a company has manipulated its reported earnings. The model combines eight financial-statement ratios into a single composite score using coefficients estimated from a probit regression on a sample of detected earnings manipulators. A score above −2.22 indicates a heightened probability of manipulation, making the M-Score a widely used tool in forensic accounting and investment due-diligence.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.
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ScholarGateUporedite metode: Beneish M-Score · Altman Z-Score. Preuzeto 2026-06-19 sa https://scholargate.app/sr/compare