Earnings Management and Its Implications Educating the Accounting Profession By Michael D. Akers‚ Don E. Giacomino‚ and Jodi L. Bellovary August 2007 Issue AUGUST 2007 - In the wake of continuing‚ highly publicized E-mail Story financial frauds and failures‚ the accounting profession has placed renewed emphasis on issues related to earnings Print Story management and earnings quality. The SEC and the public are demanding greater assurance about the quality of earnings. Staff Accounting Bulletin
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BUSINESS SCHOOL MBA: ACCOUTING THEORY 1 – (ADMN 631) LECTURE: JAMES KWAME OTIEKU A PRESENTATION ON EARNINGS MANAGEMENT AND EXECUTIVE COMPENSATION BY EMMANUEL MENSAH ID NO: 10328957 AND PETER OPATA NYAKO ID NO: 10329653 1st October 2009 EARNINGS MANAGEMENT AND EXECUTIVE COMPENSATION Introduction Accounting standards define the accounting language that management uses to communicate with the firm’s external stakeholders. By creating a framework that independent auditors
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Earnings management is typically regarded as a bad thing. I will cover why it’s considered a bad thing‚ and what it entails. When an executive “cooks the books” it’s referring to them providing false information in order to deceive other important employees or shareholders. This act includes‚ but is not limited to: falsifying receipts‚ inventories‚ balance sheets‚ and/or cash flow statements. This is an important concept to familiarize yourself with because‚ if identified and stopped in time‚ could
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reported earnings and the reasons behind each way may be different. (1) Report lower earnings. Managers intend to report lower earnings for mainly three reasons. Firstly‚ they want to hide profit for future use. In some years‚ the company presents a strong performance and has earned huge profit; however the manager may worry that the company’s future performance would not be as strong as current year‚ which gives them the incentive to save the profit by reporting a managed lower earning‚ so that
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Introduction The income smoothing literature has been the centre of attention in the accounting world for the past few decades. When companies experience economic turbulence due to a poor performance year‚ they turn to the accounting management department to resolve the bottom line. A strategy that managers can approach is changing the true information content of the company. As a result this has led managers to resort to smoothing their income. Many questions have been raised whether or not it
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Case 5-1 Income Smoothing a. Firstly‚ investors tend to invest in companies with stable earnings rather than one with volatile earnings. With stable earnings‚ there will be more likely an issuance of dividends and investors could easily predict the company’s future earnings compared to one with unstable earnings. With consistent earnings generated‚ it gives investors a secured feeling that it will again generate earnings as predicted. Confidence in the growth of rate of earnings is crucial because
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contrast Accrual Earnings Management and Real Earnings Management. Real Earnings Management: a. Real activities manipulation: managers try to mislead at least some of their stakeholders to believe that the financial reporting goals have been met through normal operational practices. However‚ this is not a value added activity‚ sometimes may even reduce firm value because current actions will have negative effect on future cash flow. b. It is probable that real earnings management will have greater
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HUB HUB RESEARCH PAPER Earnings management: a literature review S. Verbruggen‚ J. Christaens‚ and K. Milis HUB RESEARCH PAPER 2008/14. FEBRUARI 2008 Hogeschool – Universiteit Brussel Stormstraat 2‚ 1000 Brussel‚ Belgium T: +32 2 210 12 11 F: + 32 2 217 64 64 Earnings management: a literature review S. Verbruggen‚ Hogeschool Universiteit Brussel Prof dr. J. Christaens‚ Universiteit Gent Prof. dr. K. Milis‚ Hogeschool Universiteit Brussel Abstract Based on a literature review of major
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SMOOTHING TECHNIQUES Several techniques are available to forecast time-series data that are stationary or that include no significant trend‚ cyclical‚ or seasonal effects. These techniques are often referred to as smoothing techniques because they produce forecasts based on “smoothing out” the irregular fluctuation effects in the time-series data. Three general categories of smoothing techniques are presented here: • Naive forecasting models are simple models in which it is assumed that the
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Today‚ earnings management methods‚ such as income smoothing‚ are becoming more and more ubiquitous ways of improving earnings quality and attractiveness to investors. Because investors pay such close attention to income levels and firm stability‚ such methods are coming under heavy scrutiny‚ and are receiving more attention in the way of research and studies. The scrutiny is an attempt to explain the effects‚ and whether or not‚ in the long-run‚ these methods of earnings management are‚ in fact
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