What do Analysts Really Predict? Inferences from Earnings Restatements and Managed Earnings

Author(s):  
Dan Givoly ◽  
Carla Hayn ◽  
Timothy R. Yoder



2007 ◽  
Vol 47 (1) ◽  
pp. 1-22 ◽  
Author(s):  
Kamran Ahmed ◽  
John Goodwin






2012 ◽  
Vol 10 (11) ◽  
pp. 593
Author(s):  
Abdoulaye Dabo ◽  
Judith A. Laux

<span style="font-family: Times New Roman; font-size: small;"> </span><p style="margin: 0in 0.5in 0pt; text-align: justify;" class="MsoNormal"><span style="font-family: Times New Roman;"><span style="font-size: 10pt;">Given their prevalence in recent years, earnings management and financial restatements have been at the center of much of the discussion surrounding corporate malfeasance.<span style="mso-spacerun: yes;"> </span>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.<span style="mso-spacerun: yes;"> </span>Data are obtained for a sample of 104 firms (restating as well as non-restating) for the 2000 to 2001 period.<span style="mso-spacerun: yes;"> </span>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.<span style="mso-spacerun: yes;"> </span></span><span style="font-size: 10pt; mso-fareast-font-family: &quot;Times New Roman&quot;; mso-fareast-theme-font: minor-fareast;">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 the likelihood of a restatement, at least in the current study.</span></span></p><span style="font-family: Times New Roman; font-size: small;"> </span>



2013 ◽  
Vol 89 (3) ◽  
pp. 1083-1113 ◽  
Author(s):  
Xuan Huang ◽  
Siew Hong Teoh ◽  
Yinglei Zhang

ABSTRACT We investigate whether and when firms manage the tone of words in earnings press releases, and how investors react to tone management. We estimate abnormal positive tone, ABTONE, as a measure of tone management from residuals of a tone model that controls for firm quantitative fundamentals such as performance, risk, and complexity. We find that ABTONE predicts negative future earnings and cash flows, is positively associated with upward perception management events, such as, just meeting/beating thresholds, future earnings restatements, SEO, and M&A, and is negatively associated with a downward perception management event, stock option grants. ABTONE has a positive stock return effect at the earnings announcement and a delayed negative reaction in the one and two quarters afterward. Balance sheet constrained firms and older firms are more likely to employ tone management over accruals management. Overall, the evidence is consistent with managers using strategic tone management to mislead investors about firm fundamentals.



2018 ◽  
Vol 7 (4) ◽  
pp. 138
Author(s):  
Huishan Wan

Using a sample of firms that restated earnings, this study seeks to evaluate the performance of alternative discretionary accrual models along two dimensions:  earnings management detection and accuracy (the ability to accurately estimate the magnitude of managed earnings).  The findings of this study are important for three reasons.  First, discretionary accrual models play a prominent role in several streams of accounting research, especially in earnings management research.  Thus, the ability of discretionary accrual models to isolate the discretionary component from the non-discretionary component of total accruals is critical.  Second, there is concern about earnings management inferences drawn from discretionary accrual estimates generated by existing discretionary accrual models.  One major concern is that extant discretionary accrual models are mis-specified, which results in misleading inferences about earnings management behavior.  Finally, there is lack of consensus in the literature on the relative performance of discretionary accrual models.  Using earnings restatements data, I investigate the relative performance of four extant discretionary accrual models and a Modified Forward-Looking Model.  The findings indicate that the Modified Forward-Looking Model is better specified and outperforms the other models both in terms of detecting earnings management and in estimating the magnitude of managed earnings.



2010 ◽  
Vol 22 (3) ◽  
pp. 180-198 ◽  
Author(s):  
Judy K. Land


2010 ◽  
Vol 33 (3) ◽  
pp. 269-277
Author(s):  
R. Steven Flynn


2014 ◽  
Vol 12 (2) ◽  
pp. 77
Author(s):  
Karen T. Cascini ◽  
Alan DelFavero ◽  
Ryan Bezner

Corporate earnings restatements are regarded as one of the most significant issues in accounting today. While there are various factors that can influence profitability, revenue is the key contributor to a business net income. During the 2000s, a multitude of domestic and multinational corporations faced significant issues with their revenue recognition practices. Although the investing public might regard any revenue restatement as laden with possible fraud, this is not always the case. Multinational firms face dual accounting systems, such as U.S. Generally Accepted Accounting Principles (GAAP) and International Financial Reporting Standards (IFRS). Currently, similarities and differences between the accounting systems exist. However, key differences between GAAP and IFRS may cease to exist in upcoming years due to the Financial Accounting Standards Boards (FASBs) and the International Accounting Standards Boards (IASBs) joint effort to converge the two systems. Throughout this paper, examples of revenue miscalculations will be presented as well any penalties levied by the U.S. Securities & Exchange Commission against implicated corporations. Accordingly, the impact that revenue blunders have on shareholder wealth will be examined. Finally, the authors will present recommendations for mitigating revenue errors in the future.



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