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Our Approach to Equity Investing Generation to the Next)
VIEWPOINTS OCTOBER 2015, ISSUE 2 Our Approach to Equity Investing The ongoing debate between active versus passive management (also called “indexing”) in the context of equity investing may never be fully resolved. While the purpose of this Viewpoints is not an attempt to resolve the debate, we will briefly touch on the differences between these two approaches and the reasoning behind our approach to equity investing. At Houston Trust Company, we believe both approaches have merit, and each may be useful in achieving a given client’s needs and overall portfolio objectives. However, for the vast majority of our clients, we believe core holdings of high-quality, individual stocks managed (at reasonable cost) by independent, third party investment professionals offers a greater degree of flexibility, control and transparency, and can deliver competitive returns over long periods of time with lower volatility than passively managed index mutual funds. Indexing and Active Equity Active equity management, in contrast to indexing, Management Defined seeks to exploit perceived market inefficiencies in an attempt to outperform the underlying index, or In theory, passive equity investing entails simply benchmark, over time. The degree of outperformance replicating the holdings in an underlying index by is commonly referred to as a manager’s “alpha” purchasing the same securities in the same weights (i.e. the value-added return in excess of the appropriate as the index. In practice, however, what the investor benchmark which is attributable to the manager’s actually owns is a financial instrument, the return of skill). In simple terms, long-only active equity which reflects the return of the particular index (S&P managers will attempt to earn positive excess returns 500, EAFE, etc.) that the instrument is designed to by overweighting underpriced securities/industry replicate. -
An Overview of the Empirical Asset Pricing Approach By
AN OVERVIEW OF THE EMPIRICAL ASSET PRICING APPROACH BY Dr. GBAGU EJIROGHENE EMMANUEL TABLE OF CONTENT Introduction 1 Historical Background of Asset Pricing Theory 2-3 Model and Theory of Asset Pricing 4 Capital Asset Pricing Model (CAPM): 4 Capital Asset Pricing Model Formula 4 Example of Capital Asset Pricing Model Application 5 Capital Asset Pricing Model Assumptions 6 Advantages associated with the use of the Capital Asset Pricing Model 7 Hitches of Capital Pricing Model (CAPM) 8 The Arbitrage Pricing Theory (APT): 9 The Arbitrage Pricing Theory (APT) Formula 10 Example of the Arbitrage Pricing Theory Application 10 Assumptions of the Arbitrage Pricing Theory 11 Advantages associated with the use of the Arbitrage Pricing Theory 12 Hitches associated with the use of the Arbitrage Pricing Theory (APT) 13 Actualization 14 Conclusion 15 Reference 16 INTRODUCTION This paper takes a critical examination of what Asset Pricing is all about. It critically takes an overview of its historical background, the model and Theory-Capital Asset Pricing Model and Arbitrary Pricing Theory as well as those who introduced/propounded them. This paper critically examines how securities are priced, how their returns are calculated and the various approaches in calculating their returns. In this Paper, two approaches of asset Pricing namely Capital Asset Pricing Model (CAPM) as well as the Arbitrage Pricing Theory (APT) are examined looking at their assumptions, advantages, hitches as well as their practical computation using their formulae in their examination as well as their computation. This paper goes a step further to look at the importance Asset Pricing to Accountants, Financial Managers and other (the individual investor). -
Post-Modern Portfolio Theory Supports Diversification in an Investment Portfolio to Measure Investment's Performance
A Service of Leibniz-Informationszentrum econstor Wirtschaft Leibniz Information Centre Make Your Publications Visible. zbw for Economics Rasiah, Devinaga Article Post-modern portfolio theory supports diversification in an investment portfolio to measure investment's performance Journal of Finance and Investment Analysis Provided in Cooperation with: Scienpress Ltd, London Suggested Citation: Rasiah, Devinaga (2012) : Post-modern portfolio theory supports diversification in an investment portfolio to measure investment's performance, Journal of Finance and Investment Analysis, ISSN 2241-0996, International Scientific Press, Vol. 1, Iss. 1, pp. 69-91 This Version is available at: http://hdl.handle.net/10419/58003 Standard-Nutzungsbedingungen: Terms of use: Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Documents in EconStor may be saved and copied for your Zwecken und zum Privatgebrauch gespeichert und kopiert werden. personal and scholarly purposes. Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle You are not to copy documents for public or commercial Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich purposes, to exhibit the documents publicly, to make them machen, vertreiben oder anderweitig nutzen. publicly available on the internet, or to distribute or otherwise use the documents in public. Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, If the documents have been made available under an Open gelten abweichend -
Comparison of Risk Adjusted Returns in Core-Satellite Portfolios: Changing the Conversation to Benefit the Smaller Investor by J
Comparison of Risk Adjusted Returns in Core-Satellite Portfolios: Changing the Conversation to Benefit the Smaller Investor by John A. Molster, Jr. A dissertation submitted to the faculty of Wilmington University in partial fulfillment of the requirements for the degree of Doctor of Business Administration Wilmington University October 2018 Comparison of Risk Adjusted Returns in Core-Satellite Portfolios: Changing the Conversation to Benefit the Smaller Investor by John A. Molster, Jr. I certify that I have read this dissertation and that in my opinion it meets the academic and professional standards required by Wilmington University as a dissertation for the degree of Doctor of Business Administration. Signed ___________________________________________________ John L. Sparco, Ph.D., Chairperson of Dissertation Committee Signed ___________________________________________________ Ruth T. Norman, Ph.D., Member of the Dissertation Committee Signed ___________________________________________________ Mary B. Lavoie, D.B.A., Member of the Dissertation Committee Signed ___________________________________________________ Kathy S. Kennedy-Ratajack, D.B.A. Dean, College of Business Table of Contents List of Tables .................................................................................................................... vii List of Figures .................................................................................................................. viii Dedication ......................................................................................................................... -
Portfolio Management Under Transaction Costs
Portfolio management under transaction costs: Model development and Swedish evidence Umeå School of Business Umeå University SE-901 87 Umeå Sweden Studies in Business Administration, Series B, No. 56. ISSN 0346-8291 ISBN 91-7305-986-2 Print & Media, Umeå University © 2005 Rickard Olsson All rights reserved. Except for the quotation of short passages for the purposes of criticism and review, no part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise, without the prior consent of the author. Portfolio management under transaction costs: Model development and Swedish evidence Rickard Olsson Master of Science Umeå Studies in Business Administration No. 56 Umeå School of Business Umeå University Abstract Portfolio performance evaluations indicate that managed stock portfolios on average underperform relevant benchmarks. Transaction costs arise inevitably when stocks are bought and sold, but the majority of the research on portfolio management does not consider such costs, let alone transaction costs including price impact costs. The conjecture of the thesis is that transaction cost control improves portfolio performance. The research questions addressed are: Do transaction costs matter in portfolio management? and Could transaction cost control improve portfolio performance? The questions are studied within the context of mean-variance (MV) and index fund management. The treatment of transaction costs includes price impact costs and is throughout based on the premises that the trading is uninformed, immediate, and conducted in an open electronic limit order book system. These premises characterize a considerable amount of all trading in stocks. -
Active Management and Market Efficiency: a Summary of the Academic Literature
Active Management and Market Efficiency: A Summary of the Academic Literature Executive Summary This paper reviews the empirical evidence on trends in market efficiency in the United States and the role that active management plays in creating market efficiency. Efficient markets are among the cornerstones of developed economies. In an efficient market the prices of securities, on average, reflect the value of the assets underlying the securities. More efficient markets have three primary advantages: they encourage broader investor participation, they make diversifying risk easier and they encourage capital formation. Active management is the driver of market efficiency. Active managers perform research on issuers, analyze assets underlying securities and assess values. Through the buying and selling process, active managers establish the market prices for securities. By contrast, passive managers are usually “price takers” rather than “price makers.” Therefore, in the broadest terms, an increase in the amount of active management will lead to greater market efficiency, while an increase in passive management will reduce market efficiency. A body of academic literature studies how the increase in passively-managed assets – and the concomitant decrease in actively-managed assets – has affected market efficiency. Taken together, these studies suggest that: pricing efficiency has declined, return comovement has increased, securities prices are more volatile, liquidity has decreased and liquidity exhibits greater comovement. We believe that additional studies covering the most recent periods would be useful, as would studies that take a comprehensive view of indexing and that study the effect of indexing on IPOs. ACTIVE MANAGEMENT COUNCIL WHITE PAPER / MARKET EFFICIENCY: A SUMMARY OF THE ACADEMIC LITERATURE Introduction Efficient markets are among the cornerstones of developed economies. -
Swiss Asset Management Study 2020 an Overview of Swiss Asset Management
1 Inhaltsverzeichnis Inhaltsverzeichnis Swiss Asset Management Study 2020 An Overview of Swiss Asset Management Editors Jürg Fausch, Thomas Ankenbrand Institute of Financial Services Zug IFZ www.hslu.ch/ifz 1 Table of Contents Swiss Asset Management Study 2020 Table of Contents Preface 2 Executive Summary 3 1. Definition & Framework of Asset Management 5 2. The Swiss Asset Management Environment 12 3. Asset Management – An International Perspective 39 4. Asset Management Companies in Switzerland 47 5. Active versus Passive Investing – A Differentiated View on a Heated Debate 69 6. Conclusion & Outlook 77 7. Factsheets of Asset Management Companies in Switzerland 78 Authors 108 References 109 Appendix 120 2 Swiss Asset Management Study 2020 Preface The asset management industry is a growing segment of the Swiss financial center and offers a differentiating value proposition relative to private banking and wealth management. The strong expertise in asset manage- ment is highly relevant for Switzerland since it helps to diversify and complete the Swiss financial center. In this regard, the Asset Management Association Switzerland has the goal to further establish Switzerland as a leading provider of high quality asset management services and products domestically and abroad. In this context, the following study provides a comprehensive overview of the current status and various develop- ments in the Swiss asset management industry and consists of two parts. The first part starts with Chapter 1 in which a definition of asset management is provided and the methodological framework of the study is outlined. Chapter 2 gives an overview of the environment and discusses the political/legal, economic, social and technolog- ical developments relevant for the asset management industry. -
Large Cap Equity Fund
North Carolina Supplemental Retirement Plans Annual Review FEBRUARY 2013 Table of Contents • Defined Contribution Trends – Streamlining Investment Choices – DC Spend Down • Service Provider Disclosures – ERISA 408(b)(2) Regulations • Fee Review – NCSRP Fees – Stable Value Fund Fees • GoalMaker Discussion (Separate Slides) • Considering Other Fund Lineup Options • Fund Performance Review •Disclaimer MERCER 1 Defined Contribution Trends Trends for Large Plan Sponsors • Streamline number and types of investments offered – Combine style-specific (value/growth) choices for participants - Removes need to rebalance among styles - One fund choice that includes multiple underlying strategies across the style spectrum • Focus on retirement income MERCER 3 Streamlining Investment Choices • Research has shown that participants are neither good at making their own investment choices nor happy about this responsibility • Limited participant understanding remains one of the most significant challenges for plan sponsors • Plan sponsors are looking to: – Reduce redundant investment choices – Blend styles and managers – Lower risk for participants • Offering limited options allows clear and simple communication of plan • Allows each participant to create a portfolio that fits their risk tolerance and time horizon MERCER 4 Custom Funds Sample Large Cap Multi-Manager Structure Large Cap Equity Fund • Combining strategies with low or negative excess return correlations are expected to reduce the Index tracking error and increase the fund’s expected 5% information -
The Structure and Performance of the Money Management Industry
JOSEF LAKONISHOK Universityof Illinois at Urbana-Champaign ANDREI SHLEIFER Harvard University ROBERT W. VISHNY Universityof Chicago The Structure and Performance of the Money Management Industry IN 1990 TOTAL FINANCIAL assets in U.S. capital markets amounted to $13.7 trillion, of which $3.4 trillion was equities, and the rest were bonds, government securities, tax-exempt securities, and mortgages. These financial assets were held by two principal types of investors: individuals and institutions. The New York Stock Exchange defines an institution as a firm that employs professionals to manage money for the benefit of others (firms or individuals). At the end of 1990, $6.1 trillion of the total U.S. financial assets was held by institutions. Both the amount of institutional assets and the fraction of the total they represent have increased sharply over the past 30 years. In 1950, for example, institutional assets comprised $107 billion out of a $500 billion total, or 21 percent compared with 45 percent in 1990.1 The growth of institutional ownership of equities has paralleled their growth in the ownership of other financial assets. In 1955 institutions owned 23 per- cent of equities compared with 77 percent owned by individuals; in We thankSEI Corporationand Denise Handwerkerfor providingthe dataand Gilbert Beebower,Michael Duncan, Vasant Kamath, Christopher Schwartz, and Ron Skleneyfrom SEIfor theirinsights. We wouldalso like to thankGene Fama, Oliver Hart, Stewart Myers, GeorgePerry, Jay Ritter,and JeremyStein for helpfulcomments and Peng Tu and Randy Pollackfor researchassistance. Computing support was providedby the NationalCenter for SupercomputingApplications, University of Illinois at Urbana-Champaign. 1. These numbers are from the Institutional Investor Fact Book published by the New York Stock Exchange.Jean Tobin of the NYSE kindlyprovided the latest figures. -
MODERN PORTFOLIO THEORY: FOUNDATIONS, ANALYSIS, and NEW DEVELOPMENTS Table of Contents
MODERN PORTFOLIO THEORY: FOUNDATIONS, ANALYSIS, AND NEW DEVELOPMENTS Table of Contents Preface Chapter 1 Introduction (This chapter contains three Figures) 1.1 The Portfolio Management Process 1.2 The Security Analyst's Job 1.3 Portfolio Analysis 1.3A Basic Assumptions 1.3B Reconsidering The Assumptions 1.4 Portfolio Selection 1.5 Mathematics Segregated to Appendices 1.6 Topics To Be Discussed Appendix - Various Rates of Return A1.1 The Holding Period Return A1.2 After-Tax Returns A1.3 Continuously Compounded Return PART 1: PROBABILITY FOUNDATIONS Chapter 2 Assessing Risk (This chapter contains six Numerical Examples) 2.1 Mathematical Expectation 2.2 What is Risk? 2.3 Expected Return 2.4 Risk of a Security 2.5 Covariance of Returns 2.6 Correlation of Returns 2.7 Using Historical Returns 2.8 Data Input Requirements 2.9 Portfolio Weights 2.10 A Portfolio’s Expected Return 2.11 Portfolio Risk 2.12 Summary of Conventions and Formulas MODERN PORTFOLIO THEORY - Table of Contents – Page 1 Chapter 3 Risk and Diversification: An Overview (This chapter contains ten Figures and three Tables of real numbers) 3.1 Reconsidering Risk 3.1A Symmetric Probability Distributions 3.1B Fundamental Security Analysis 3.2 Utility Theory 3.2A Numerical Example 3.2B Indifference Curves 3.3 Risk-Return Space 3.4 Diversification 3.4A Diversification Illustrated 3.4B Risky A + Risky B = Riskless Portfolio 3.4C Graphical Analysis 3.5 Conclusions PART 2: UTILITY FOUNDATIONS Chapter 4 Single-Period Utility Analysis (This chapter contains sixteen Figures, four Tables -
The Capital Asset Pricing Model (CAPM) of William Sharpe (1964)
Journal of Economic Perspectives—Volume 18, Number 3—Summer 2004—Pages 25–46 The Capital Asset Pricing Model: Theory and Evidence Eugene F. Fama and Kenneth R. French he capital asset pricing model (CAPM) of William Sharpe (1964) and John Lintner (1965) marks the birth of asset pricing theory (resulting in a T Nobel Prize for Sharpe in 1990). Four decades later, the CAPM is still widely used in applications, such as estimating the cost of capital for firms and evaluating the performance of managed portfolios. It is the centerpiece of MBA investment courses. Indeed, it is often the only asset pricing model taught in these courses.1 The attraction of the CAPM is that it offers powerful and intuitively pleasing predictions about how to measure risk and the relation between expected return and risk. Unfortunately, the empirical record of the model is poor—poor enough to invalidate the way it is used in applications. The CAPM’s empirical problems may reflect theoretical failings, the result of many simplifying assumptions. But they may also be caused by difficulties in implementing valid tests of the model. For example, the CAPM says that the risk of a stock should be measured relative to a compre- hensive “market portfolio” that in principle can include not just traded financial assets, but also consumer durables, real estate and human capital. Even if we take a narrow view of the model and limit its purview to traded financial assets, is it 1 Although every asset pricing model is a capital asset pricing model, the finance profession reserves the acronym CAPM for the specific model of Sharpe (1964), Lintner (1965) and Black (1972) discussed here. -
“Mean Variance Optimization Via Factor Models in the Emerging Markets: Evidence on the Istanbul Stock Exchange”
“Mean variance optimization via factor models in the emerging markets: evidence on the Istanbul Stock Exchange” AUTHORS Fazıl Gökgöz Fazıl Gökgöz (2009). Mean variance optimization via factor models in the ARTICLE INFO emerging markets: evidence on the Istanbul Stock Exchange. Investment Management and Financial Innovations, 6(3) RELEASED ON Friday, 21 August 2009 JOURNAL "Investment Management and Financial Innovations" FOUNDER LLC “Consulting Publishing Company “Business Perspectives” NUMBER OF REFERENCES NUMBER OF FIGURES NUMBER OF TABLES 0 0 0 © The author(s) 2021. This publication is an open access article. businessperspectives.org Investment Management and Financial Innovations, Volume 6, Issue 3, 2009 Fazil Gökgöz (Turkey) Mean variance optimization via factor models in the emerging markets: evidence on the Istanbul Stock Exchange Abstract Markowitz’s mean-variance analysis, a well known financial optimization technique, has a crucial role for the financial decision makers. This quadratic programming method determines the optimal portfolios within the risk-return perspec- tive. Estimation of the expected returns and the covariances for the financial assets has a significant importance in quantitative portfolio management. The famous financial models used in estimating the input parameters are CAPM, Three Factor Model and Characteristic Model. The goal of this study is to investigate the significance of asset pricing models in the Markowitz’s mean-variance optimization technique for the different Turkish benchmark indices. The optimized risky financial assets have demonstrated higher portfolio risks rather than risky portfolios with risk-free assets. Portfolio risk is found lower for CAPM, Three Factor Model and Characteristics Model, however higher for naive returns. The performances of optimized CAPM portfolios are higher than multi-factor models.