Final Project Profitability Ratios’ Analysis of Pharmaceuticals in same industry for FY 2008-10 Sanofi-Aventis Ferozsons Abbott A REPORT SUBMITTED TO THE DEPARTMENT OF MANAGEMENT SCIENCES‚ VIRTUAL UNIVERSITY OF PAKISTAN IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTERS IN BUSINESS ADMINISTRATION Submitted By Mc080402262 Sheikh Khurum Akram Department of Management Sciences‚ Virtual University of Pakistan Acknowledgement In the name of ALLAH‚
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Chapter 3 Analysis of Financial Statements SOLUTIONS TO END-OF-CHAPTER PROBLEMS 3-1 DSO = 40 days; S = $7‚300‚000; AR = ? DSO = 40 = 40 = AR/$20‚000 AR = $800‚000. 3-2 A/E = 2.4; D/A = ? 3-3 ROA = 10%; PM = 2%; ROE = 15%; S/TA = ?; TA/E = ? ROA = NI/A; PM = NI/S; ROE = NI/E. ROA = PM S/TA NI/A = NI/S S/TA 10% = 2% S/TA S/TA = 5. ROE = PM S/TA TA/E NI/E = NI/S S/TA TA/E 15% = 2% 5 TA/E 15% = 10% TA/E TA/E = 1.5.
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Financial Statement Analysis Bakrie Telecom Author: Mohamad Iswan MME 153072016 Individual Assignment MAKI 503 ’ ACCOUNTING FOR MANAGERS Faculty Member: Dr. Binsar H. Simanjuntak Ak.‚ MBA‚ CMA Date: April 25‚ 2008 Prasetiya Mulya MM PROGRAM MAJOR IN STRATEGIC MANAGEMENT Batch 33 Table of Contents Preface 1 Analytical Measures 1 Company Profile 3 Short-term Liquidity Analysis 4 Current Ratio 4 Quick Ratio 4 Amount of Working Capital 5
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accountant to overlook certain financial figures from a balance sheet that may portray the business in a bad light to the public and investors. Omission may not seem like a significant breach of accounting ethics to an accountant because it does not encompass direct operation of numbers or records. This is specifically why an accountant must remain ethically cautious to circumvent falling into such a trap. Accountants need to be educated on what forms of financial statements frauds can be committed and
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University of South Florida Scholar Commons Graduate School Theses and Dissertations Graduate School 6-1-2008 Detecting financial statement fraud: Three essays on fraud predictors‚ multi-classifier combination and fraud detection using data mining Johan L. Perols University of South Florida Follow this and additional works at: http://scholarcommons.usf.edu/etd Part of the American Studies Commons Scholar Commons Citation Perols‚ Johan L.‚ "Detecting financial statement fraud: Three essays on
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John Deere Financial Statement Analysis John Deere was founded in 1837 by a blacksmith and inventor who had an idea to help farmers. His ideas would change the face of agriculture for all time. In 2011‚ John Deere was listed in Fortune magazine amongst the 50 most admired companies and has ranked one of the best 100 global brands. John Deere is expanding overseas and they have just celebrated their 175th anniversary. The deferred tax assets and liabilities for John Deere for the years of 2010
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A. Published financial statements are prepared to satisfy the needs of the different users of accounts‚ of which investors form part. While the statements provide useful information to investors‚ they are not without limitations. The usefulness of using financial statements and its limitations are discussed below. Usefulness of published financial statements Financial statements provide information about the net worth of a business at a specific point of time and its trading performance during
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organisations has really established the fact that financial statements shall contain the following information according to section 334(2) of the companies and allied matters act (CAMA) 1990 as well as statement of accounting standards (SAS) 2:profit and lossaccount;balance sheet; a statement of cash flow; value added statement; five-year financial summary; statement of significant accounting policies; notes to the accounts; group financial statement (in case of a group); chairman’s report; directors’s
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Auditing: A Journal of Practice & Theory Vol. 30‚ No. 2 May 2011 pp. 19–50 American Accounting Association DOI: 10.2308/ajpt-50009 Financial Statement Fraud Detection: An Analysis of Statistical and Machine Learning Algorithms Johan Perols SUMMARY: This study compares the performance of six popular statistical and machine learning models in detecting financial statement fraud under different assumptions of misclassification costs and ratios of fraud firms to nonfraud firms. The results show‚ somewhat
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ASSESSMENT OF FINANCIAL STATEMENTS Assessment of Financial Statements Judith A Vicks FIN7014-8: Managing Financial Institutions Dr. Ekanayake: Northcentral University June 23‚ 2013 ASSESSMENT OF FINANCIAL STATEMENTS Abstract It is important to understand the differences in how earnings and liabilities are generated or reported for different financial institutions. This paper will describe key points regarding the balance sheets of different financial institutions. Commercial
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