Merger: Valuation Process and Evaluation of Financial Performance in case of United Insurance Company and Shama Plc By: Jemaneh Bayou January 2008 Advisor: Abebe Yitayew (Asst. Professor.) A PROJECT PAPER SUBMITTED TO THE SCHOOL OF GRADUATE STUDIES OF ADDIS ABABA UNIVERSITY IN PARTIAL FULFILLMENTS OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENCE IN ACCOUNTING AND FINANCE ADDIS ABABA UNIVERSITY SCHOOOL OF GRADUATE STUDIES Faculty of Business & Economics Department of Accounting & Finance
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American Finance Association The Long-Run Performance of Initial Public Offerings Author(s): Jay R. Ritter Source: The Journal of Finance, Vol. 46, No. 1 (Mar., 1991), pp. 3-27 Published by: Blackwell Publishing for the American Finance Association Stable URL: http://www.jstor.org/stable/2328687 . Accessed: 15/03/2011 14:34 Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use, available at . http://www.jstor.org/page/info/about/policies/terms.jsp. JSTOR's
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products. As a part of my study I covered most of the Area in Govindpura Industrial area. There are 50 Dealers which are surveyed by me in a given time of period of 45 Days. The sampling technique used for this study was simple random sampling and the sample size was 50. The tool which I used to analysis the data was simple average method and the data’s where put in tabular form as well as in chart form also. In that manner we prepared a questionnaire of 17 questions which reflects all the aspects
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markets, none of them focuses on the gold market. We use a large number of statistical models to model and then forecast daily volatility and VaR. Both insample and out-of-sample forecasts are evaluated using appropriate evaluation measures. For in-sample forecasting, the class of TARCH models provide the best results. For out-of-sample forecasting, the results were not that clear-cut and the order and specification of the models were found to be an important factor in determining model’s
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The Effect of ERP System Implementations on the Usefulness of Accounting Information Joseph F. Brazel Department of Accounting College of Management North Carolina State University Campus Box 8113 Raleigh, North Carolina 27695 Telephone: 919-513-1772 Fax: 919-515-4446 e-mail: joe_brazel@ncsu.edu Li Dang Department of Accounting College of Business Oregon State University Corvallis, Oregon 97331 Telephone: 541-737-6049 e-mail: li.dang@bus.oregonstate.edu October 2005 The authors thank the international
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2007) “In an entrepreneurial city where even volatile commodities like real estate eventually find their equilibrium, the desire for private school seats has outpaced supply for many years, in some cases by an order of magnitude. “ (nytimes.com, 2010). “When the public school Pre-K selections were announced, we were denied acceptance to ALL 10 schools…out of 12 friends with kids hoping to enter Pre-K in the Fall of 2011, not ONE of them got in. You see, simply by not having a sibling already in
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2008 CFA Level 1 － Mock Exam 1 （AM）模考试题 Q1-5 Question 1 Accepting an incentive offered by a client to a portfolio manager, such as a free vacation or a cash bonus, to reward good performance in a future period is: A) a violation of the Standards. B) not a violation of the Standards as long as client confidentiality is maintained. C) a violation of the Standards unless the manager gets written consent from her employer. D) not a violation of the Standards as long as the manager
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Endowed Professor in Accounting W. Brooke Elliott University of Washington Michelle Hanlon University of Michigan Business School November 26, 2002 _________________________________________________________________________________ ABSTRACT: This paper investigates whether firms use discretion in accounting for deferred taxes to increase earnings and avoid reporting a loss. We find that firm-years with small scaled profits reduce (relative to the prior year) the proportion of the gross deferred tax
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Mehryar. Foundations of machine learning / Mehryar Mohri, Afshin Rostamizadeh, and Ameet Talwalkar. p. cm. - (Adaptive computation and machine learning series) Includes bibliographical references and index. ISBN 978-0-262-01825-8 (hardcover : alk. paper) 1. Machine learning. 2. Computer algorithms. I. Rostamizadeh, Afshin. II. Talwalkar, Ameet. III. Title. Q325.5.M64 2012 006.3’1-dc23 2012007249 10 9 8 7 6 5 4 3 2 1 Contents Preface 1 Introduction 1.1 Applications and problems . 1.2 Definitions
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personality over other selection testing methods. Personality and team performance is also covered. Main trends in contemporary research on the extent to which applicant “faking” of personality tests poses a serious threat are explicated, as are promising approaches for contending with applicant faking such as the “faking warning” and the forced-choice method of personality assessment. Finally, internet-based assessment of personality and computer adaptive personality testing are synopsized. © 2006 Elsevier
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