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Modern Portfolio Theory
Modern portfolio theory “Portfolio analysis” redirects here. For theorems about where Rp is the return on the port- the mean-variance efficient frontier, see Mutual fund folio, Ri is the return on asset i and separation theorem. For non-mean-variance portfolio wi is the weighting of component analysis, see Marginal conditional stochastic dominance. asset i (that is, the proportion of as- set “i” in the portfolio). Modern portfolio theory (MPT), or mean-variance • Portfolio return variance: analysis, is a mathematical framework for assembling a P σ2 = w2σ2 + portfolio of assets such that the expected return is maxi- Pp P i i i w w σ σ ρ , mized for a given level of risk, defined as variance. Its key i j=6 i i j i j ij insight is that an asset’s risk and return should not be as- where σ is the (sample) standard sessed by itself, but by how it contributes to a portfolio’s deviation of the periodic returns on overall risk and return. an asset, and ρij is the correlation coefficient between the returns on Economist Harry Markowitz introduced MPT in a 1952 [1] assets i and j. Alternatively the ex- essay, for which he was later awarded a Nobel Prize in pression can be written as: economics. P P 2 σp = i j wiwjσiσjρij , where ρij = 1 for i = j , or P P 1 Mathematical model 2 σp = i j wiwjσij , where σij = σiσjρij is the (sam- 1.1 Risk and expected return ple) covariance of the periodic re- turns on the two assets, or alterna- MPT assumes that investors are risk averse, meaning that tively denoted as σ(i; j) , covij or given two portfolios that offer the same expected return, cov(i; j) . -
155 Chapter -5 Performance Evaluation of Mutual Funds
CHAPTER -5 PERFORMANCE EVALUATION OF MUTUAL FUNDS 5.0. Introduction 156 5.A. Theoretical Frame Work 157 5.A.1.Ratios Used to Measure Performance 157 5.A.1.1. Sharpe Ratio 157 5.A.1.2. Treynor Ratio 159 5.A.1.3. Jensen Ratio 160 5.A.1.4. Beta 161 5.A.1.5. R Square 161 5.A.1. 6. Standard deviation 161 5.A.1.7.Compound Annual Growth Rate – CAGR 162 5.B. PERFORMANCE APPRAISAL OF MUTUAL FUNDS IN INDIA 165 5.B.1.Risk and Return Analysis 166 5.B.2. Particulars of Selected Sample Schemes 166 * Analysis of peer group 166 *. Analysis of performance 168 1. Sharpe Analysis 168 2. Treynor Analysis 170 3. Jensen Analysis 172 4. CAGR 174 5. Correlation 176 6. Standard Deviation 178 7. Beta Analysis 180 5.B.3. Balanced Fund Schemes 182 5.B.4. Equity Schemes 185 5.B.5. Floating Rate Income Schemes 188 5..B.6.Gilt Long-Term Schemes 191 5..B.7. Gilt Short-Term Schemes 194 5.B.8. Income Fund Schemes 196 5.B.9. Liquid Funds Schemes 199 5.B.10. Monthly Income Plan(MIP) Schemes 202 5.B.11. Sector Funds –FMCG Schemes 205 5.B.12.Sector Funds-PHARMA Schemes 207 5.B.13. Sector Funds- Infotech Schemes 209 5.B.14. Short-Term Income Schemes 211 5.B.15. Tax Schemes 214 5.C. Findings and Conclusion 217 155 CHAPTER -5 PERFORMANCE EVALUATION OF MUTUAL FUNDS 5.0. Introduction We have examined the trends in resource mobilization and factors influencing it (chapter -3) and investment pattern vis-à-vis investor’s composition(chapter-4). -
L-G-0000674566-0002386385.Pdf
Practical Risk-Adjusted Performance Measurement For other titles in the Wiley Finance series please see www.wiley.com/finance Practical Risk-Adjusted Performance Measurement Carl R. Bacon A John Wiley & Sons, Ltd., Publication C 2013 John Wiley & Sons, Ltd Registered Office John Wiley & Sons Ltd, The Atrium, Southern Gate, Chichester, West Sussex, PO19 8SQ, United Kingdom For details of our global editorial offices, for customer services and for information about how to apply for permission to reuse the copyright material in this book please see our website at www.wiley.com. All rights reserved. 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, except as permitted by the UK Copyright, Designs and Patents Act 1988, without the prior permission of the publisher. Wiley publishes in a variety of print and electronic formats and by print-on-demand. Some material included with standard print versions of this book may not be included in e-books or in print-on-demand. If this book refers to media such as a CD or DVD that is not included in the version you purchased, you may download this material at http://booksupport.wiley.com. For more information about Wiley products, visit www.wiley.com. Designations used by companies to distinguish their products are often claimed as trademarks. All brand names and product names used in this book are trade names, service marks, trademarks or registered trademarks of their respective owners. The publisher is not associated with any product or vendor mentioned in this book. -
Alternative Investment Strategies: an Interview with Bob Rice Angel Capital Association Webinar October 23, 2013
Alternative Investment Strategies: An Interview with Bob Rice Angel Capital Association Webinar October 23, 2013 Bob Rice: Managing Partner, Tangent Capital; Author of The Alternative Answer John Huston: ACA Chairman Emeritus; Founder/Manager, Ohio TechAngel Funds Webinar House Rules for Attendees • Attendees are muted throughout the live presentation • Please provide questions for the speakers via the chat option in the bottom left of your screen • This program is being recorded and will be archived for viewing • We will share the presentation with all attendees 1 • Mission is to fuel the success of angel groups and private investors who actively invest in early-stage companies • 200+ member angel groups • 10,000+ accredited investors • 19 affiliated organizations • 3 accredited platforms • 48 states/5 provinces • Charitable partner: ACA Members Include Most Top Angel Groups 2 Alternative Investment Strategies: An Interview with Bob Rice Angel Capital Association Webinar October 23, 2013 Bob Rice: Managing Partner, Tangent Capital; Author of The Alternative Answer John Huston: ACA Chairman Emeritus; Founder/Manager, Ohio TechAngel Funds • Hundreds of free educational videos at: ALTANSWER.COM • Bob is – Bloomberg TV’s Alternative Investments Editor – Successful tech entrepreneur (founder of Viewpoint, a public 3D graphics company) - Active Angel - ex Partner at Milbank, Tweed - Founder of Tangent Capital, a NYC boutique investment bank 3 Invite here: Rule501.com/bob Invite Code: Rice501 Ohio TechAngel Funds (OTAF) • 117 monthly meetings since 2004 • Added 50 new members via our 4th fund • Total members = >320 across all 4 funds • Made 63 investments in 43 Ohio-based technology ventures 4 Traditional Investment Choices Public Equities • Globally: 63,000 publicly traded stocks; in US, 15,000 • Fed policies have driven up multiples (not earnings!) • An ever-diminishing % of new economic value is captured in these vehicles. -
The Bias Ratio As a Hedge Fund Fraud Indicator
International Business & Economics Research Journal – July/August 2014 Volume 13, Number 4 The Bias Ratio As A Hedge Fund Fraud Indicator: An Empirical Performance Study Under Different Economic Conditions Francois van Dyk, UNISA, South Africa Gary van Vuuren, North-West University, South Africa André Heymans, North-West University, South Africa ABSTRACT The Sharpe ratio is widely used as a performance evaluation measure for traditional (i.e., long only) investment funds as well as less-conventional funds such as hedge funds. Based on mean- variance theory, the Sharpe ratio only considers the first two moments of return distributions, so hedge funds – characterised by complex, asymmetric, highly-skewed returns with non-negligible higher moments – may be misdiagnosed in terms of performance. The Sharpe ratio is also susceptible to manipulation and estimation error. These drawbacks have demonstrated the need for augmented measures, or, in some cases, replacement fund performance metrics. Over the period January 2000 to December 2011 the monthly returns of 184 international long/short (equity) hedge funds with investment mandates that span the geographical areas of North America, Europe, and Asia were examined. This study compares results obtained using the Sharpe ratio (in which returns are assumed to be serially uncorrelated) with those obtained using a technique which does account for serial return correlation. Standard techniques for annualising Sharpe ratios, based on monthly estimators, do not account for serial return correlation – this study compares Sharpe ratio results obtained using a technique which accounts for serial return correlation. In addition, this study assess whether the Bias ratio supplements the Sharpe ratio in the evaluation of hedge fund risk and thus in the investment decision-making process. -
CAIA® Level II Study Guide
CAIA® Level II Study Guide Learning objectives and keywords to facilitate your exam study MARCH 2021 CAIA Level II Study Guide For the March 2021 Exam Contents Introduction to the CAIA Charter Program .......................................................................1 Preparing for the Level II Examination ................................................................................3 Level II Examination Topic Weights and Question Format .............................................4 Errata Sheet .............................................................................................................................5 Calculator Policy ....................................................................................................................5 Completion of the Level II Program ....................................................................................5 CAIA Level II Outline ..............................................................................................................6 Topic 1: Ethics, Regulations and ESG .......................................................................... 10 Topic 2: Models .............................................................................................................. 21 Topic 3: Institutional Asset Owners and Investment Policies................................. 31 Topic 4: Risk and Risk Management ........................................................................... 41 Topic 5: Methods for Alternative Investments ........................................................ -
Alternative Investments: a Primer for Investment Professionals
ALTERNATIVE INVESTMENTS: A PRIMER FOR INVESTMENT PROFESSIONALS Donald R. Chambers, CAIA Keith H. Black, CFA, CAIA Nelson J. Lacey, CFA ALTERNATIVE INVESTMENTS: A PRIMER FOR INVESTMENT PROFESSIONALS Donald R. Chambers, CAIA Keith H. Black, CFA, CAIA Nelson J. Lacey, CFA Statement of Purpose CFA Institute Research Foundation is a not-for-profit organization established to promote the development and dissemination of relevant research for investment practitioners worldwide. Neither CFA Institute Research Foundation, CFA Institute, nor the publication’s editorial staff is responsible for facts and opinions presented in this publication. This publication reflects the views of the author(s) and does not represent the official views of CFA Institute Research Foundation. CFA®, Chartered Financial Analyst®, and GIPS® are just a few of the trademarks owned by CFA Institute. To view a list of CFA Institute trademarks and the Guide for the Use of CFA Institute Marks, please visit our website at www.cfainstitute.org. © 2018 CAIA Association. All rights reserved. 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 written permission of the copyright holder. This publication is designed to provide accurate and authoritative information in regard to the subject matter covered. It is sold with the understanding that the publisher is not engaged in rendering legal, accounting, or other professional service. If legal advice or other expert assistance is required, the services of a competent professional should be sought. Cover Image Photo Credit: Juice Images/Getty Images ISBN 978-1-944960-37-7 Editorial Staff Mary-Kate Hines Tracy Dinning Assistant Editor Senior Publishing Technology Specialist Contents 1. -
Csóka, Péter Phd and Pintér, Miklós Phd Rácz
CORVINUS UNIVERSITY OF BUDAPEST ANOMALIES AROUND REPORTS OF STOCK EARNINGS AND OF FUND MANAGEMENT DOCTORAL DISSERTATION Supervisor: Csóka, Péter PhD and Pintér, Miklós PhD Rácz, Dávid Andor Budapest, 2019 Rácz, Dávid Andor ANOMALIES AROUND REPORTS OF STOCK EARNINGS AND OF FUND MANAGEMENT Department of Finance Supervisor: Csóka, Péter PhD and Pintér, Miklós PhD © Copyright – Rácz, Dávid Andor 2019 CORVINUS UNIVERSITY OF BUDAPEST DOCTORAL SCHOOL OF BUSINESS AND MANAGEMENT ANOMALIES AROUND REPORTS OF STOCK EARNINGS AND OF FUND MANAGEMENT DOCTORAL DISSERTATION Rácz, Dávid Andor Budapest, 2019 TABLE OF CONTENTS 1. LITERATURE AND METHODOLOGY SUMMARY ......................... 12 1.1. THEORY AND CRITIQUES OF MARKET EFFICIENCY ........ 18 1.1.1. The efficient market theory and the random walk of share prices .......................................................................................................... 19 1.1.2. Critiques of efficient markets and test of the semi-strong form of efficient market..................................................................................................... 20 1.1.3. Behavioural economics background of anomalies ...................... 21 1.1.4. Market efficiency and the existence of arbitrage returns .......... 23 1.2. THE METHODOLOGY OF EVENT STUDIES ............................ 25 1.2.1. Modelling of the expected returns ................................................ 26 1.2.2. Length of the event window and the estimation window ........... 27 1.2.3. Measuring and testing abnormal returns ................................... -
CAIA® Level II Workbook
CAIA® Level II Workbook Practice questions, exercises, and keywords to test your knowledge MARCH 2021 CAIA Level II Workbook, March 2021 CAIA Level II Workbook Table of Contents Preface ................................................................................................................................................. 3 Review Questions and Answers....................................................................................................... 4 Part 1: Ethics Regulations and ESG ............................................................................................. 4 Chapter 3: Global Regulation ................................................................................................. 4 Chapter 4: ESG and Alternative Investments ....................................................................... 8 Chapter 5: ESG Analysis and Application ........................................................................... 11 Part 2: Models ................................................................................................................................ 16 Chapter 6: Modeling Overview and Interest Rate Models.............................................. 16 Chapter 7: Credit Risk Models ................................................................................................ 19 Chapter 8: Multi-Factor Equity Pricing Models ................................................................... 23 Chapter 9: Asset Allocation Processes and the Mean-Variance Model ...................... 26 Chapter -
Advanced Statistics in Rock Creek Analysis
Confidential Advanced Statistics in Rock Creek Analysis The Rock Creek Group June 22, 2010 This note provides a brief overview of a few of the advanced statistical measures used by The Rock Creek Group in managing hedge fund portfolios. More detailed information on these and other statistical measures are also available. We propose updating this paper on an ongoing basis with information on additional statistical measures. To overcome the subjectivity associated with using decay factors, the Rock Creek Group uses the Generalized Auto Regression Conditional Heteroskedasticity (GARCH) model to estimate volatility. The GARCH model calculates current volatility as a Contents function of an estimated volatility and the error of the estimated Risk Measures .......................................................... 1 volatility in past periods. In brief, the GARCH model automatically learns from its volatility predictions in past periods and uses this GARCH Volatility ..................................................... 1 to improve its current estimations. In the process it accounts for changes in the volatility of the return series. Consequently, Value at Risk and Expected Shortfall ...................... 1 GARCH volatility is a useful measure for monitoring the monthly changes in the volatility (or risk) of fund managers. Extreme Value Theory ............................................ 2 Besides volatility, the GARCH model is also used to estimate Bias Ratio ................................................................ 2 the other measures of a return distribution, such as its mean, Performance Measures .............................................. 2 skewness, shape factor etc. These parameters may be preset to improve the robustness of the GARCH model. However, RCG Performance Ratio .......................................... 2 presetting parameters tends to reduce the efficacy of the GARCH model to monitor changes in the volatility. Marginal Utility and Marginal Risk ......................... 2 At Rock Creek we use GARCH (1, 1) model. -
Downloadable Return Series, Are Available in the French Factor Commodities, Fixed Income, and Economic Indices
Alternative Investment Analyst Review EDITOR’S LETTER You Could be Wrong Even When You are Right! Hossein Kazemi WHAT A CAIA MEMBER SHOULD KNOW Introductory Guide to Investing in Private Equity Secondaries Jochen Mende, Joseph B. Marks, Kairat Perembetov, Capital Dynamics RESEARCH REVIEW The Persistence of Smart Beta Hamish Preston, Tim Edwards, Craig Lazzara, S&P Down Jones Indices New Evidence on Whether Gold Mining Stocks Are More Like Gold or Like Stocks Mark A. Johnson, Douglas J. Lamdin, Loyola University Maryland, University of Maryland CAIA MEMBER CONTRIBUTION Assessing Risk of Private Equity: What’s the Proxy? Alexandra Coupe, PAAMCO INVESTMENT STRATEGIES Understanding the Kelly Capital Growth Investment Strategy Dr. William T. Ziemba FEATURED INTERVIEW Hedge Fund Investing: A Conversation with Kevin Mirabile Barbara J. Mack, CAIA Association PERSPECTIVES Dynamic Asset Allocation as a Response to the Limitations of Diversification Thomas Zimmerer, Ph.D, Taylor Carrington, Allianz Global Investors VC-PE INDEX Mike Nugent and Mike Roth, Bison THE MSCI GLOBAL INTEL REPORT Max Arkey, MSCI Real Estate Q3 2016, Volume 5, Issue 2 Chartered Alternative Investment Analyst Association® Call for Articles Article submissions for future issues of Alternative Investment Analyst Review (AIAR) are always welcome. Articles should cover a topic of interest to CAIA members and should be single-spaced. Additional information on submissions can be found at the end of this issue. Please e-mail your submission or any questions to: [email protected]. Chosen pieces will be featured in future issues of AIAR, archived on CAIA.org, and promoted throughout the CAIA community. Editor’s Letter You Could be Wrong Even When You are Right! Suppose you discover an asset that has been losing money since inception (e.g., a mutual fund run by an incompetent manager). -
Copyrighted Material
JWBK558-bind JWBK558-Bacon Printer: Yet to Come September 5, 2012 17:27 Trim: 229mm × 152mm Index 9/11 terrorist attacks 186 appendices 193–202 appraisal ratio 86–7, 165 Abdulali, Adil 37 arbitrage 181–2 absolute mean difference 12, 14 arithmetic information ratio 55–61 absolute risk dashboard 180, 195–8 arithmetic mean 7–8, 45–6, 191 active risk see tracking error arithmetic tracking error 53–4, 55–67 adjusted information ratio 61–3 asset allocation decisions, portfolio adjusted M2 160–1, 168, 179–80 managers 73, 78 adjusted Sharpe ratio (ASR) 48–9, 52, asset managers 2, 3, 57, 164, 183–7 160–1, 167, 179–80, 183, 196 Association for Investment Management AIMR see Association for Investment and Research (AIMR) 16–17 Management and Research see also CFA-Institute alpha 71–3, 74–5, 81, 83, 86–7, 90–6, asymmetrical distributions 23–4, 49, 52, 165, 168, 177–9, 189, 200–1 179–80 see also Fama-French alpha;Jensen’s see also skewness alpha; regression alpha audit 183 alternative investmentshttp://www.pbookshop.com 42, 164, 169, average drawdown 97, 100–1, 105, 165, 173–4 171, 178 alternative modified Jensen 88 average VaR see conditional VaR alternative Sharpe ratio 47–9, 52 averages 7–8 analytical VaR 122, 124 see also mean; median; mode annual arithmetic mean 8 annualised alpha COPYRIGHTED72–3, 200–1 back-tests, MATERIAL VaR 182 annualised returns 7, 8, 12, 19, 44–9, Bacon, Francis 1 56–61, 155–6, 172–4, 189, 193–4, banks 181–2 196, 197, 200 bear beta 73, 78–81 annualised risk 18, 44–9, 56–61, 127, bell curves see normal distributions 155–6,