A Probability Model for Earnings Restatement

Colorado College Working Paper No. 2012-05

8 Pages Posted: 15 May 2012

See all articles by Abdoulaye Dabo

Abdoulaye Dabo

Colorado College - Department of Economics and Business

Judith A. Laux

Colorado College - Department of Economics and Business

Date Written: May 15, 2012

Abstract

Given their prevalence in recent years, earnings management and financial restatements have been at the center of much of the discussion surrounding corporate malfeasance. This study builds a probability model for predicting the likelihood of earnings restatements by analyzing the trends in and the deviations from the industry averages of the return on assets, accounts receivable turnover, net profit margin, and operating cash flow to net income measures. Data are obtained for a sample of 104 firms (restating as well as non-restating) for the 2000 to 2001 period. The results suggest that deviations from the industry average of the accounts receivable turnover and the variability in the cash flow to net income provide good barometers for detecting fraudulent accounting. Potential restating firms have higher accounts receivable turnover rates than their industry counterparts and downward trends in their cash flow to net income, so an increase (decrease) in the accounts receivable turnover (operating cash flow to net income) significantly increases (decreases) the likelihood of a restatement, at least in the current study.

Keywords: Earnings Restatement, Fraudulent Accounting, Accounts Receivable Turnover, Cash Flow

JEL Classification: M4, G33, G38, G32

Suggested Citation

Dabo, Abdoulaye and Laux, Judith A., A Probability Model for Earnings Restatement (May 15, 2012). Colorado College Working Paper No. 2012-05 , Available at SSRN: https://ssrn.com/abstract=2060430 or http://dx.doi.org/10.2139/ssrn.2060430

Abdoulaye Dabo

Colorado College - Department of Economics and Business ( email )

14 E Cache La Poudre Street
Colorado Springs, CO 80903
United States

Judith A. Laux (Contact Author)

Colorado College - Department of Economics and Business ( email )

14 E Cache La Poudre Street
Colorado Springs, CO 80903
United States
7193896414 (Phone)
7193896927 (Fax)

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