Many existing earnings management studies establish earnings management detection criteria by examining the statements of every organization under review for a significant period of time. While being suitable for the academia, this approach cannot be adopted by the practitioners, who do not have...

The companies charged by U.S. SEC with earnings manipulations offences appear to have lower Z-Score than the rest of the companies. This study attempts to justify that Z-Score limits set by Altman for determination of bankruptcy state will also work in detection of earnings manipulations. The...

This paper presents a statistical analysis confirming the former empirical findings that positive differential between the rates of growth of P-Score and Z-score appears in the data obtained from the financial statements of the companies implicated in major financial fraud occurred in the late...

This paper presents a statistical analysis confirming the former empirical findings that positive differences between the growth rates of P-Score and Z-score appears in financial statement data of companies involved in major financial fraud. The paper examines firms that engaged in fraud in the...

This paper identifies several approaches to detection of manipulation in financial statements and creates a combined practical approach, which uses each of the existing algorithms in the complement manner to the others. It also introduces new P-Score formula, which in conjunction with Altman...