2002:53 Financial Statement Fraud - Recognition of Revenue and the Auditor’s Responsibility for Detecting Financial Statement Fraud - Tiina Intal and Linh Thuy Do Graduate Business School School of Economics and Commercial Law Göteborg University ISSN 1403-851X Printed by Elanders Novum Abstract Financial reporting frauds and earnings manipulation have attracted high profile attention recently. There have been several cases by businesses of what appears to be financial statement fraud
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Conclusion This Project has been very useful to me because I learned how to prepare cash flow statements and ratio analysis. This has improved my knowledge on financial statements which is very useful in business and commerce ever day. The work I did in this project has helped me to understand the techniques‚ applications and usefulness of financial statements to understand the performance of a particular company or enterprise without much difficulty and also understand how to prepare them in future
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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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Financial statements‚ also known as financial reports‚ record the financial activities of a business in short and long term. The four financial statements are: balance sheet‚ income statement‚ statement of retained earnings‚ and statement of cash flows. A balance sheet reports the assets‚ liabilities‚ and net equity on a company. An income statement reports income‚ expenses‚ and profits on a company. A statement of retained earnings shows a company ’s changed retained earnings. The statement
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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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Costco Wholesale Corporation (NASDAQ: COST) is the largest membership warehouse club chain in the world based on sales volume‚ headquartered in Issaquah‚ Washington‚ United States‚ with its flagship warehouse in nearby Seattle. Costco’s Canadian operations are based in Ottawa‚ Ontario. It is the fourth biggest general retailer in the United States‚ after Wal-Mart‚ The Home Depot‚ and Kroger. Type Public (NASDAQ: COST) Founded 1983‚ Costco‚ Seattle‚ Washington Headquarters Issaquah‚ Washington
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FINANCIAL STATEMENT ANALYSIS With reference to TANCEM A PROJECT REPORT Submitted to the SCHOOL OF MANAGEMENT In partial fulfillment of the requirements For the award of the degree Of MASTER OF BUSINESS ADMINSTRATION By N.R. REVATHI(35080489) Under the guidance of Mr. S.ARUN KUMAR (ASSISTANT PROFESSOR) SRM SCHOOL OF MANAGEMENT SRM UNIVERSITY KATTANKULATHUR 603 203 MAY‚ 2010 ACKNOWLEDGEMENT Perseverance‚ inspiration and motivation have always played a key role in the success of
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Report on Summer Training FINANCIAL STATEMENT ANALYSIS OF INDUSIND BANK Submitted to KCL-IMT (PTU) In partial fulfillment of the requirements for the award of degree of MASTER OF BUSINESS ADMINISTRATION Submitted by:Manika Garg MBA 3 (A)1174258 | Supervisor:Mrs. Rimpi BegowalLect. Of Management | DEPARTMENT OF MANAGEMENT KCL-IMT JALANDHAR 2011-2013 COMPANY CERTIFICATE DECLARATION I‚ "Manika Garg” ‚hereby declare that the work presented herein
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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 fraud predictors‚ multi-classifier combination and
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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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