Meetodi tõendite kirje

Beneish M-Score

The 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.

Sources recorded, not reviewed

Allikakirje

Tsiteeringud kopeeritud meetodi allikakirjest sõna-sõnalt. Nendest ei saa järeldada väidete tasemel kinnitust.

Beneish M-Score (Earnings Manipulation Detection)

Taksonoomiline meetodikirje · regression-model / finance

Beneish, M. D. (1999). The detection of earnings manipulation. Financial Analysts Journal, 55(5), 24–36. · DOI 10.2469/faj.v55.n5.2296

Ava täielik meetod

Kureeritud väited

Väited on salvestatud tõendite registrisse, igal oma hinnanguga.

Kureeritud väiteid veel pole

See vaade ei loo väite hinnangut, kui registris seda pole.

Seotud meetodid

Genereeritud meetodigraafist ja kuvatud masina soovitatud seostena – väiteid ei järeldata.

Same method familyAltman Z-Scoremachine-suggested · Relational suggestion, not evidence.Same method familyDuPont Analysismachine-suggested · Relational suggestion, not evidence.See alsoLogistic Regressionmachine-suggested · Relational suggestion, not evidence.