...Empirical Finance Value, Momentum, and Volatility ABSTRACT In this paper we approach two major topics on the central debate of asset pricing theory: the returns to value and momentum strategies and also, the comparison of volatility models. Our analysis is divided in two parts: in the first, we provide a monthly view on 115 stocks from the S&P 500 index for the past twenty four years and the respective return premia resulting from value and momentum strategies. In the latter part, the main goal is to test different volatility models by analyzing historical data from Microsoft stocks. Therefore, we follow the structure of Asness et al. (2013) while analyzing value and momentum, and used the methodology of several authors to define and calibrate the data. Our results are in line with the literature since we detected return premium for value and also for momentum. Nevertheless, not all of the conclusions of the literature are confirmed in our analysis, as we will demonstrate. On the second section, ARCH (5), GARCH (1,1) and Taylor/Schwert GARCH(1,1) models are tested revealing the supremacy of the latter. Key words: Market efficiency, Value, Momentum, ARCH, GARCH, Taylor/Schwert, Volatility Models. 1. Introduction Our research is mainly related with the recent literature published on global asset pricing. We have followed Asness et al. (2013) where the authors present evidence of value and momentum return premia across eight different asset classes and markets. Moreover...
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...grandfather Ivan Smolin. He was a sweet, kind and sensitive man who devoted his life to studying precious stones and metals. He enriched my life with passion to beauty. If God wanted us to bend over he'd put diamonds on the floor Joan Rivers Contents Acknowledgements 3 Executive summary 7 I Introduction 10 Ground for discussion 10 Objectives 10 Methodology 11 II Literature review and hypothesis development 12 Overview 12 Introduction 12 History of diamonds 12 Industry structure 13 DeBeers cartel 15 Diamond valuation 16 Diamond valuation process 16 Determinants of diamond prices 18 Diamond as an investment 19 Types of investment 19 Problems associated with investing in diamonds 20 Benefits associated with investing in diamonds 20 Alternatives to investing in diamonds 23 Hypothesis development 25 III Methodology 26 Data collection 26 Primary research 26 Secondary research 27 Methodology 28 Descriptive statistics 28 Regression analysis 28 Variables 29 Limitations and assumptions 30 IV Analysis and results 32 Interview results 32 Summary statistics 36 Explanation of variables 36 Descriptive statistics 38 Correlation 44 Regression analysis 46 V Conclusions and recommendations 49 References 52 Appendix 56...
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...57 Printer: Opaque this 3 Time Series Concepts 3.1 Introduction This chapter provides background material on time series concepts that are used throughout the book. These concepts are presented in an informal way, and extensive examples using S-PLUS are used to build intuition. Section 3.2 discusses time series concepts for stationary and ergodic univariate time series. Topics include testing for white noise, linear and autoregressive moving average (ARMA) process, estimation and forecasting from ARMA models, and long-run variance estimation. Section 3.3 introduces univariate nonstationary time series and defines the important concepts of I(0) and I(1) time series. Section 3.4 explains univariate long memory time series. Section 3.5 covers concepts for stationary and ergodic multivariate time series, introduces the class of vector autoregression models, and discusses long-run variance estimation. Rigorous treatments of the time series concepts presented in this chapter can be found in Fuller (1996) and Hamilton (1994). Applications of these concepts to financial time series are provided by Campbell, Lo and MacKinlay (1997), Mills (1999), Gourieroux and Jasiak (2001), Tsay (2001), Alexander (2001) and Chan (2002). 58 3. Time Series Concepts 3.2 Univariate Time Series 3.2.1 Stationary and Ergodic Time Series Let {yt } = {. . . yt−1 , yt , yt+1 , . . .} denote a sequence of random variables indexed by some time subscript t. Call such a sequence of random...
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...APPENDICES A B C Quantitative Review References to CFA Questions Glossary A P P E N D I X A QUANTITATIVE REVIEW Students in management and investment courses typically come from a variety of backgrounds. Some, who have had strong quantitative training, may feel perfectly comfortable with formal mathematical presentation of material. Others, who have had less technical training, may easily be overwhelmed by mathematical formalism. Most students, however, will benefit from some coaching to make the study of investment easier and more efficient. If you had a good introductory quantitative methods course, and like the text that was used, you may want to refer to it whenever you feel in need of a refresher. If you feel uncomfortable with standard quantitative texts, this reference is for you. Our aim is to present the essential quantitative concepts and methods in a self-contained, nontechnical, and intuitive way. Our approach is structured in line with requirements for the CFA program. The material included is relevant to investment management by the ICFA, the Institute of Chartered Financial Analysts. We hope you find this appendix helpful. Use it to make your venture into investments more enjoyable. 1006 Appendix A 1007 A.1 PROBABILITY DISTRIBUTIONS Statisticians talk about “experiments,” or “trials,” and refer to possible outcomes as “events.” In a roll of a die, for example, the “elementary events” are the numbers 1 through 6...
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..................................................................xiv Acknowledgements ........................................................................................... xv About The Author ................................................................. xvi PART 1 TIME VALUE OF MONEY ..... 1 Chapter 1 Single Cash Flow ....................................................1 1.1 Present Value ............................................................................................... 1 1.2 Future Value ................................................................................................ 2 Problems .............................................................................................................. 3 Chapter 2 Annuity ...................................................................4 2.1 Present Value...
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...Economic Consequences of the Sarbanes-Oxley Act of 2002 Ivy Xiying Zhang* William E. Simon Graduate School of Business Administration Carol Simon Hall 4-312 University of Rochester Rochester, NY 14627 zhangxi@simon.rochester.edu February 2005 I am grateful for the guidance of my dissertation committee, Bill Schwert, Charles Wasley, Ross Watts, and especially Jerry Zimmerman (Chairman). I also appreciate comments from Jim Brickley, Philip Joos, Andy Leone, Jerry Warner, Joanna Wu, Yan Cao, Ling Lei, Laura Liu, Tao Kuang, and workshop participants at the University of Rochester. All errors are my own. * Abstract This paper investigates the economic consequences of the Sarbanes-Oxley Act through a study of market reactions to legislative events related to the Act. I find that the cumulative abnormal return around all legislative events leading to the passage of the Act is significantly negative. The loss in total market value around the most significant rulemaking events amounts to $1.4 trillion. I then examine the private benefits and costs of major provisions of the Act by investigating the cross-sectional variation in market reactions to the rulemaking events. Regression results are consistent with the hypothesis that shareholders consider both the restriction of nonaudit services and the provisions to enhance corporate governance costly to business. The results also show that Section 404 of SOX, which mandates an internal control test, imposes significant costs on firms...
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...Income Calculations by Dragomir Krgin Managing a Corporate Bond Portfolio by Leland E. Crabbe and Frank J. Fabozzi Real Options and Option-Embedded Securities by William T. Moore Capital Budgeting: Theory and Practice by Pamela P. Peterson and Frank J. Fabozzi The Exchange-Traded Funds Manual by Gary L. Gastineau Professional Perspectives on Fixed Income Portfolio Management, Volume 3 edited by Frank J. Fabozzi Investing in Emerging Fixed Income Markets edited by Frank J. Fabozzi and Efstathia Pilarinu Handbook of Alternative Assets by Mark J. P. Anson The Global Money Markets by Frank J. Fabozzi, Steven V. Mann, and Moorad Choudhry The Handbook of Financial Instruments edited by Frank J. Fabozzi Collateralized Debt Obligations: Structures and Analysis by Laurie S. Goodman and Frank J. Fabozzi Interest Rate, Term Structure, and Valuation Modeling edited by Frank J. Fabozzi Investment Performance Measurement by Bruce J. Feibel The Handbook of Equity Style Management edited by T. Daniel Coggin and Frank J. Fabozzi The Theory and Practice of Investment Management edited by Frank J. Fabozzi and Harry M. Markowitz Foundations of Economic Value Added, Second Edition by James L. Grant Financial Management and Analysis, Second Edition by Frank J. Fabozzi and Pamela P. Peterson Measuring and Controlling Interest Rate and Credit Risk, Second Edition by Frank J. Fabozzi, Steven V. Mann, and Moorad Choudhry Professional Perspectives on Fixed Income Portfolio Management, Volume 4 edited by...
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...AN ANALYTICAL STUDY ON EFFICACY OF ALGORITHM FOR BOTH TRADING AND INVESTING AN ANALYTICAL STUDY ON EFFICACY OF ALGORITHM FOR BOTH TRADING AND INVESTING ABSTRACT INDEX AIM OF STUDY PURPOSE * The main agenda of this study is to test the basic oscillators like RSI and OBV is to identify the behavior of these early indicators in various types of market. The agenda of using moving average lag indicators like Bollinger band is to check how well these bands work in giving out trade signals. * The study aims to find out using Bloomberg terminal that whether combination of studies and Risk management help to enhance the performance of the indicators and do they really help to make a more profitable decision. * This study also intends to use some basic fundamental indicators to identify whether they can be used as tool to invest in securities and how well they are able to perform as compared to a benchmark index. The aim is to use a matrix of indicators, so that it can be also assessed whether combination of basic indicators are good enough to make portfolio creation judgment that can lead to market beating portfolio or not. * All the testing has been done using the Bloomberg terminal. LIMITATIONS * There are many lead, hybrid and lag indicators available in the market however not every single one can be tested. * The testing only targets the NSE that is typically Indian market, hence the results may be non-inferential for international markets...
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...with similar monthly returns, but no identifiable public news. There is a major difference between return patterns for the two sets. I find evidence of post-news drift, which supports the idea that investors underreact to information. This is strongest after bad news. I also find some evidence of reversal after extreme price movements that are unaccompanied by public news. The patterns are seen even after excluding earnings announcements, controlling for potential risk exposure, and other adjustments. They appear, however, to apply mainly to smaller stocks. I also find evidence that trading frictions, such as short-sale constraints, may play a role in the post-bad-news drift pattern. ∗ I wish to thank Kent Daniel, Ken French, Li Jin, S. P. Kothari, Jon Lewellen, Andrew Lo, Sendhil Mullainathan, Dimitri Vayanos, and Geoffrey Verter for many stimulating discussions, and the members of the MIT PhD Finance seminar for their helpful comments. Please address all correspondence to me at wschan@mit.edu. 1 1 INTRODUCTION 1 2 Introduction There is a large amount of evidence that stock prices are predictable. In the last decade, various studies have shown that stock returns exhibit reversal at weekly and 3-5 year intervals, and drift over 12-month periods.1 Some research shows that stock prices appear to drift after important corporate events for up to several months.2 This suggests that some of the drift is driven by underreaction to information. However...
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...Bachelor Thesis Department of Business Studies Århus, the 3rd of May 2010 Valuation of BMW - Financial & Strategic Analysis Authors Rasmus Ramshøj Pløen Exam no. 282821 BSc (B/IM) Mikkel Kronborg Olesen Exam no. 283755 BSc (B) Academic Advisor Nicolai Borcher Hansen ASB Aarhus School of Business TABLE OF CONTENTS 1 PREFACE ................................................................................................................................................................ 4 1.1 1.2 1.3 1.4 1.5 1.6 2 EXECUTIVE SUMMARY ................................................................................................................................................ 5 BRIEF INTRODUCTION ................................................................................................................................................. 6 PROBLEM STATEMENT ................................................................................................................................................ 8 STRUCTURE .............................................................................................................................................................. 9 DELIMITATIONS AND ASSUMPTIONS ............................................................................................................................ 10 METHODS ..........................................................................................................................................
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...Deficits, National Saving, and Interest Rates William G. Gale and Peter R. Orszag September 2004 Brookings Institution and Tax Policy Center. This paper was prepared for the Brookings Panel on Economic Activity, September 9-10, 2004. We thank Emil Apostolov, Matt Hall, Brennan Kelly, and Melody Keung for outstanding research assistance; Alan Auerbach, William Brainard, Robert Cumby, Bill Dickens, Doug Elmendorf, Eric Engen, Laurence Kotlikoff, Thomas Laubach, Maria Perozek, George Perry, Frank Russek, Matthew Shapiro, and David Wilcox for helpful discussions; and Eric Engen, Jane Gravelle, and Thomas Laubach for sharing data. ABSTRACT This paper provides new evidence that sustained budget deficits reduce national saving and raise interest rates by economically and statistically significant quantities. Using a series of econometric specifications that nest Ricardian and non-Ricardian models, we obtain evidence of strong non-Ricardian behavior in aggregate consumption. Consistent with several recent studies, we find that projected future deficits affect longterm interest rates, but current deficits do not. Our estimates suggest that each percent-ofGDP in current deficits reduces national saving by 0.5 to 0.8 percent of GDP. Each percent-of-GDP in projected future unified deficits raises forward long-term interest rates by 25 to 35 basis points, and each percent-of-GDP in projected future primary deficits raises interest rates by 40 to 70 basis points. Budget...
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...Value Creation of Spin-offs and Carve-outs Dissertation zur Erlangung der Würde eines Doktors der Staatswissenschaften vorgelegt der Wirtschaftswissenschaftlichen Fakultät der Universität Basel von Roger Rüdisüli von Amden SG Difo-Druck GmbH Bamberg 2005 Genehmigt von der Wirtschaftswissenschaftlichen Fakultät der Universität Basel auf Antrag von Prof. Dr. Heinz Zimmermann und Ass.-Prof. Dr. Wolfgang Drobetz. Basel, den 10. Mai 2005 Der Dekan Prof. Dr. Heinz Zimmermann Acknowledgements V Acknowledgements My dissertation would not have been possible without the support of various people to whom I would like to express my sincere gratitude. Firstly, I would like to thank my academic supervisors Heinz Zimmermann and Wolfgang Drobetz of the University of Basel (Switzerland) for their academic guidance, encouraging support and the very pleasant cooperation. Special thanks goes to Jürg Wicki for his advice in selecting the subject, structuring the dissertation, and choosing its fundamental building blocks. I am also heavily indebted to Neelesh Singhal and his team at McKC in Madras (India) who helped me to find the vast amount of data used in my research. Without their assistance it would have been impossible to obtain the data. I am also grateful to Sabine Keller-Busse and the partners of McKinsey & Company in the Zurich office for making my educational leave possible and for the financial assistance provided. My acknowledgement also goes to Thomas Bollinger...
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...BU Basic M.B.A. International Master of Business Administration |Index | Accounting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 Business Law . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 Entrepreneurship. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100 Finance. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119 Management. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 160 Marketing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 180 Operations. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 220 Statistics. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 252 Strategic Management. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ...
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...Securities Are Traded........................................................................ 8 Chapter Six: Risk and risk aversion.................................................................................. 12 Chapter Seven: Capital Allocation between the Risky asset and the risk-free Asset ....... 17 Chapter Eight: Optimal Risky Portfolios:......................................................................... 20 Chapter Nine: The Capital Asset Pricing Model .............................................................. 24 Chapter Ten: Index Models: ............................................................................................. 28 Chapter Eleven: Arbitrage Pricing Theory and multifactor models of risk and return .... 32 Chapter Twelve: Market Efficiency and Behavioral Finance........................................... 35 Chapter Fourteen: Bond prices and yields ........................................................................ 43 Chapter Fifteen: The Term Structure of Interest Rates..................................................... 48 Chapter Sixteen: Managing Bond Portfolios .................................................................... 53 Chapter Eighteen: Equity Valuation Models .................................................................... 57 Chapter Twenty: Option Markets: Introduction ............................................................... 59 Chapter Twenty-one: Option...
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...MANAGING INVESTMENT PORTFOLIOS WORKBOOK A DYNAMIC PROCESS Third Edition John L. Maginn, CFA Donald L. Tuttle, CFA Dennis W. McLeavey, CFA Jerald E. Pinto, CFA John Wiley & Sons, Inc. MANAGING INVESTMENT PORTFOLIOS WORKBOOK A DYNAMIC PROCESS The CFA Institute is the premier association for investment professionals around the world, with over 85,000 members in 129 countries. Since 1963 the organization has developed and administered the renowned Chartered Financial Analyst Program. With a rich history of leading the investment profession, CFA Institute has set the highest standards in ethics, education, and professional excellence within the global investment community, and is the foremost authority on investment profession conduct and practice. Each book in the CFA Institute Investment Series is geared toward industry practitioners along with graduate-level finance students and covers the most important topics in the industry. The authors of these cutting-edge books are themselves industry professionals and academics and bring their wealth of knowledge and expertise to this series. MANAGING INVESTMENT PORTFOLIOS WORKBOOK A DYNAMIC PROCESS Third Edition John L. Maginn, CFA Donald L. Tuttle, CFA Dennis W. McLeavey, CFA Jerald E. Pinto, CFA John Wiley & Sons, Inc. Copyright c 2007 by CFA Institute. All rights reserved. Published by John Wiley & Sons, Inc., Hoboken, New Jersey. Published simultaneously in Canada. No part of this publication may be reproduced...
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