Download or read book Asset Allocation Performance Measurement and Downside Risk written by Alexandra Elisabeth Janovsky and published by diplom.de. This book was released on 2001-03-26 with total page 121 pages. Available in PDF, EPUB and Kindle. Book excerpt: Inhaltsangabe:Abstract: Investors should not and in fact do not hold a single asset, they hold groups or portfolios of assets. An important aspect in portfolio theory is that the risk of a portfolio is more complex than the risk of its components. It depends on how much the assets represented in the portfolio move together, that is, on the correlation between the single assets. In portfolio theory, there are several definitions of risk: First of all, the Capital Asset Pricing Model (CAPM) relies on the beta factor of an asset relative to the market as a measure for the asset s risk. On the other hand, also downside risk can be used in order to determine a portfolio s risk. The kind of risk in question is market risk, which is the risk of losses arising from adverse movements in market prices or rates. Market risk can be subdivided into interest rate risk, equity price risk, exchange rate risk and commodity price risk. For many investment decisions, there is a minimum return that has to be reached in order to meet different criteria. Returns above this minimum acceptable return ensure that these goals are reached and thus are not considered risky. Standard deviation captures the risk associated with achieving the mean, while downside risk assumes that only those returns that fall below the minimal acceptable return incur risk. One has to distinguish between good and bad volatility. Good volatility is dispersion above the minimal acceptable return, the farther above the minimal acceptable return, the better it is. One way of measuring downside risk is to consider the shortfall probability or chances of falling below the minimal acceptable return. Another possibility is measuring downside variance, i.e. variance of the returns falling below the minimal acceptable return. As a consequence, downside variance is very sensitive to the estimate of the mean of the return function, while standard deviation does not suffer from this problem. Thus the calculation of downside deviation is more difficult than the calculation of standard deviation. The quality of the calculation also depends on the choice of differencing interval of the time series. The calculation of downside risk assumes that financial time series follow either a normal or lognormal distribution. Finally, there is no universal risk measure for the many broad categories of risk. For example, standard deviation captures the risk of not achieving the mean, beta captures the risk of investing [...]

Download or read book Managing Downside Risk in Financial Markets written by Frank A. Sortino and published by Butterworth-Heinemann. This book was released on 2001-10-02 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantitative methods have revolutionized the area of trading, regulation, risk management, portfolio construction, asset pricing and treasury activities, and governmental activity such as central banking to name but some of the applications. Downside-risk, as a quantitative method, is an accurate measurement of investment risk, because it captures the risk of not accomplishing the investor's goal. 'Downside Risk in Financial Markets' demonstrates how downside-risk can produce better results in performance measurement and asset allocation than variance modelling. Theory, as well as the practical issues involved in its implementation, is covered and the arguments put forward emphatically show the superiority of downside risk models to variance models in terms of risk measurement and decision making. Variance considers all uncertainty to be risky. Downside-risk only considers returns below that needed to accomplish the investor's goal, to be risky. Risk is one of the biggest issues facing the financial markets today. 'Downside Risk in Financial Markets' outlines the major issues for Investment Managers and focuses on "downside-risk" as a key activity in managing risk in investment/portfolio management. Managing risk is now THE paramount topic within the financial sector and recurring losses through the 1990s has shocked financial institutions into placing much greater emphasis on risk management and control. Free Software Enclosed To help you implement the knowledge you will gain from reading this book, a CD is enclosed that contains free software programs that were previously only available to institutional investors under special licensing agreement to The pension Research Institute. This is our contribution to the advancement of professionalism in portfolio management. The Forsey-Sortino model is an executable program that: 1. Runs on any PC without the need of any additional software. 2. Uses the bootstrap procedure developed by Dr. Bradley Effron at Stanford University to uncover what could have happened, instead of relying only on what did happen in the past. This is the best procedure we know of for describing the nature of uncertainty in financial markets. 3. Fits a three parameter lognormal distribution to the bootstrapped data to allow downside risk to be calculated from a continuous distribution. This improves the efficacy of the downside risk estimates. 4. Calculates upside potential and downside risk from monthly returns on any portfolio manager. 5. Calculates upside potential and downside risk from any user defined distribution. Forsey-Sortino Source Code: 1. The source code, written in Visual Basic 5.0, is provided for institutional investors who want to add these calculations to their existing financial services. 2. No royalties are required for this source code, providing institutions inform clients of the source of these calculations. A growing number of services are now calculating downside risk in a manner that we are not comfortable with. Therefore, we want investors to know when downside risk and upside potential are calculated in accordance with the methodology described in this book. Riddles Spreadsheet: 1. Neil Riddles, former Senior Vice President and Director of Performance Analysis at Templeton Global Advisors, now COO at Hansberger Global Advisors Inc., offers a free spreadsheet in excel format. 2. The spreadsheet calculates downside risk and upside potential relative to the returns on an index Brings together a range of relevant material, not currently available in a single volume source. Provides practical information on how financial organisations can use downside risk techniques and technological developments to effectively manage risk in their portfolio management. Provides a rigorous theoretical underpinning for the use of downside risk techniques. This is important for the long-run acceptance of the methodology, since such arguments justify consultant's recommendations to pension funds and other plan sponsors.

Download or read book Portfolio Performance Measurement and Benchmarking Chapter 9 What Is Risk written by Jon A. Christopherson and published by McGraw Hill Professional. This book was released on 2009-05-15 with total page 18 pages. Available in PDF, EPUB and Kindle. Book excerpt: Here is a chapter from Portfolio Performance Measurement and Benchmarking, which will help you create a system you can use to accurately measure your performance. The authors highlight common mechanical problems involved in building benchmarks and clearly illustrate the resulting fallouts. The failure to choose the right investing performance benchmarks often leads to bad decisions or inaction and, inevitably, lost profits. In this book you will discover a foundation for benchmark construction and discuss methods for all different asset classes and investment styles.

Download or read book Portfolio Performance Measurement and Benchmarking Chapter 12 Conditional Performance Evaluation written by Jon A. Christopherson and published by McGraw Hill Professional. This book was released on 2009-05-15 with total page 14 pages. Available in PDF, EPUB and Kindle. Book excerpt: Here is a chapter from Portfolio Performance Measurement and Benchmarking, which will help you create a system you can use to accurately measure your performance. The authors highlight common mechanical problems involved in building benchmarks and clearly illustrate the resulting fallouts. The failure to choose the right investing performance benchmarks often leads to bad decisions or inaction and, inevitably, lost profits. In this book you will discover a foundation for benchmark construction and discuss methods for all different asset classes and investment styles.

Download or read book Portfolio Performance Meaurement and Benchmarking Fixed Income Risk written by Jon A. Christopherson and published by McGraw Hill Professional. This book was released on 2009-05-15 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt: Here is a chapter from Portfolio Performance Measurement and Benchmarking, which will help you create a system you can use to accurately measure your performance. The authors highlight common mechanical problems involved in building benchmarks and clearly illustrate the resulting fallouts. The failure to choose the right investing performance benchmarks often leads to bad decisions or inaction and, inevitably, lost profits. In this book you will discover a foundation for benchmark construction and discuss methods for all different asset classes and investment styles.

Download or read book Practical Risk Adjusted Performance Measurement written by Carl R. Bacon and published by John Wiley & Sons. This book was released on 2021-10-22 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore different measures of ex-post risk-adjusted performance measurement and learn to choose the correct one In the newly revised Second Edition of Practical Risk-Adjusted Performance Measurement, accomplished risk and investment expert Carl R. Bacon delivers an insightful, accessible, and real-world guide to ex-post risk measurement. The author bridges the gap between theory and practice, showing you how to apply the former to the latter without introducing unnecessary mathematical complexity. The book describes the fundamentals of risk in the asset management context and the descriptive statistics used to describe it. It builds on that foundation with detailed examinations of concepts like regression, drawdown, and partial moments, before moving on to topics like fixed income risk and Prospect Theory. With helpful additions that include recently developed measures of risk, supplementary explanatory sections, and six brand-new chapters, this book also offers: A practical classification of all ex-post risk measures and how they connect to one another An explanation of how risk-adjusted performance measures impact performance fees A discussion of risk measure dashboard designs Instructions on how appraisal measures should be used for manager selection Perfect for portfolio managers, asset owners, risk controllers, and investment performance analysts, Practical Risk-Adjusted Performance Measurement is an indispensable resource for anyone looking for a hands-on exploration of the buy-side, asset management perspective.

Download or read book Portfolio Performance Evaluation written by George O. Aragon and published by Now Publishers Inc. This book was released on 2008 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper provides a review of the methods for measuring portfolio performance and the evidence on the performance of professionally managed investment portfolios. Traditional performance measures, strongly influenced by the Capital Asset Pricing Model of Sharpe (1964), were developed prior to 1990. We discuss some of the properties and important problems associated with these measures. We then review the more recent Conditional Performance Evaluation techniques, designed to allow for expected returns and risks that may vary over time, and thus addressing one major shortcoming of the traditional measures. We also discuss weight-based performance measures and the stochastic discount factor approach. We review the evidence that these newer measures have produced on selectivity and market timing ability for professional managed investment funds. The evidence includes equity style mutual funds, pension funds, asset allocation style funds, fixed income funds and hedge funds.

Download or read book Investment Performance Measurement written by Bruce J. Feibel and published by John Wiley & Sons. This book was released on 2003-02-04 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many investment books include a chapter or two on investment performance measurement or focus on a single aspect, but only one book addresses the breadth of the field. Investment Performance Measurement is a comprehensive guide that covers the subjects of performance and risk calculation, attribution, presentation, and interpretation. This information-packed book covers a wide range of related topics, including calculation of the returns earned by portfolios; measurement of the risks taken to earn these returns; measurement of the risk and return efficiency of the portfolio and other indicators of manager skill; and much more. By reviewing both the concepts of performance measurement and examples of how they are used, readers will gain the insight necessary to understand and evaluate the management of investment funds. Investment Performance Measurement makes extensive use of fully worked examples that supplement formulas and is a perfect companion to professional courses and seminars for analysts. Bruce J. Feibel, CFA, is Product Manager at Eagle Investment Systems, an investment management software provider located in Newton, Massachusetts. He is responsible for overseeing the development of Eagle's investment performance measurement, attribution, and AIMR/GIPS compliance software. Prior to joining Eagle, Mr. Feibel was a principal at State Street Global Advisors. He earned his BS in accounting from the University of Florida.

Download or read book Downside Risk adjusted Performance Measures written by Xiao Fang He and published by . This book was released on 2007 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent work by Dr. Robert R. Grauer has shown that traditional performance measures, such as Jensen's Alpha and the Sharpe Ratio, are unable to distinguish between perfect-foresight and bankrupt investments. In this paper, we test the ability of various downside risk-adjusted performance measures to identify bankrupt performance. Using zero percent as a minimal acceptable level of return, the Sortino ratio, the upside potential ratio and the portfolio performance index can distinguish bankrupt strategies from non-bankrupt ones. However, the ranking based on these measures over non-bankrupt strategies are inconsistent with the ranking of accumulated wealth over the 1934-1999 period.

Download or read book The New Science of Asset Allocation written by Thomas Schneeweis and published by John Wiley & Sons. This book was released on 2010-02-12 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: A feasible asset allocation framework for the post 2008 financial world Asset allocation has long been a cornerstone of prudent investment management; however, traditional allocation plans failed investors miserably in 2008. Asset allocation still remains an essential part of the investment arena, and through a new approach, you'll discover how to make it work. In The New Science of Asset Allocation, authors Thomas Schneeweis, Garry Crowder, and Hossein Kazemi first explore the myths that plague this field then quickly move on to examine how the practice of asset allocation has failed in recent years. They then propose new allocation models that employ liquidity, transparency, and real risk controls across multiple asset classes. Outlines a new approach to asset allocation in a post-2008 world, where risk seems hidden The "great manager" problem is examined with solutions on how to capture manager alpha while limiting downside risk A complete case study is presented that allocates for beta and alpha Written by an experienced team of industry leaders and academic experts, The New Science of Asset Allocation explains how you can effectively apply this approach to a financial world that continues to change.

Download or read book Portfolio Performance Measurement and Benchmarking Chapter 7 Some Foundations written by Jon A. Christopherson and published by McGraw Hill Professional. This book was released on 2009-05-15 with total page 14 pages. Available in PDF, EPUB and Kindle. Book excerpt: Here is a chapter from Portfolio Performance Measurement and Benchmarking, which will help you create a system you can use to accurately measure your performance. The authors highlight common mechanical problems involved in building benchmarks and clearly illustrate the resulting fallouts. The failure to choose the right investing performance benchmarks often leads to bad decisions or inaction and, inevitably, lost profits. In this book you will discover a foundation for benchmark construction and discuss methods for all different asset classes and investment styles.

Download or read book Portfolio Performance Measurement and Benchmarking Chapter 16 Factor Model Barra Performance Attribution written by Jon A. Christopherson and published by McGraw Hill Professional. This book was released on 2009-05-15 with total page 18 pages. Available in PDF, EPUB and Kindle. Book excerpt: Here is a chapter from Portfolio Performance Measurement and Benchmarking, which will help you create a system you can use to accurately measure your performance. The authors highlight common mechanical problems involved in building benchmarks and clearly illustrate the resulting fallouts. The failure to choose the right investing performance benchmarks often leads to bad decisions or inaction and, inevitably, lost profits. In this book you will discover a foundation for benchmark construction and discuss methods for all different asset classes and investment styles.

Download or read book Portfolio Performance Measurement and Benchmarking Chapter 11 Fixed Income Risk written by Jon A. Christopherson and published by McGraw Hill Professional. This book was released on 2009-05-15 with total page 15 pages. Available in PDF, EPUB and Kindle. Book excerpt: Here is a chapter from Portfolio Performance Measurement and Benchmarking, which will help you create a system you can use to accurately measure your performance. The authors highlight common mechanical problems involved in building benchmarks and clearly illustrate the resulting fallouts. The failure to choose the right investing performance benchmarks often leads to bad decisions or inaction and, inevitably, lost profits. In this book you will discover a foundation for benchmark construction and discuss methods for all different asset classes and investment styles.

Download or read book Portfolio Performance Measurement and Benchmarking written by Jon A. Christopherson and published by McGraw Hill Professional. This book was released on 2009-08-05 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: In order to make sound investment choices, investors must know the projected return on investment in relation to the risk of not being paid. Benchmarks are excellent evaluators, but the failure to choose the right investing performance benchmark often leads to bad decisions or inaction, which inevitably results in lost profits. The first book of its kind, Portfolio Performance Measurement and Benchmarking is a complete guide to benchmarks and performace evaluation using benchmarks. In one inclusive volume, readers get foundational coverage on benchmark construction, as well as expert insight into specific benchmarks for asset classes and investment styles. Starting with the basics—such as return calculations and methods of dealing with cash flows—this thorough book covers a wide variety of performance measurement methodologies and evaluation techniques before moving into more technical material that deconstructs both the creation of indexes and the components of a desirable benchmark. Portfolio Performance Measurement and Benchmarking provides detailed coverage of benchmarks for: U.S. equities Global and international equities Fixed income Real estate The team of renowned authors offers illuminating opinions on the philosophy and development of equity indexes, while highlighting numerous mechanical problems inherent in building benchmarks and the implications of each one. Before you make your next investment, be certain your return will be worth the risk with Portfolio Performance Measurement and Benchmarking.

Download or read book Pitfalls of Downside Performance Measures with Arbitrary Targets written by Benedikt Hoechner and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The Sharpe ratio has been criticized with regard to the assumptions of mean-volatility portfolio selection. Downside performance measures were developed to resolve this critique; they are consistent with expected utility theory under less restrictive assumptions. The most prominent family of downside performance measures is known as Kappa ratios and puts above target returns into relation to lower partial moments. While the Sharpe ratio of a mutual fund evaluates whether portfolios of mutual fund and risk-free asset dominate risk-adjusted passive portfolios of benchmark and risk-free asset, this characteristic cannot be transferred to downside performance measures with arbitrary targets. We show that Kappa ratios assign different values to passive strategies with varying fractions of benchmark and risk-free asset if the target differs from the risk-free rate. This effect can lead to reverse rankings of inferior and superior performing mutual funds. In addition, even the ratio of excess return and excess downside risk of passive portfolios is not constant in general. Therefore, downside performance measures turn out to be only applicable in asset management if the target is set equal to the risk-free rate.

Download or read book Portfolio Performance Measurement and Benchmarking Chapter 14 Factor Models written by Jon A. Christopherson and published by McGraw Hill Professional. This book was released on 2009-05-15 with total page 13 pages. Available in PDF, EPUB and Kindle. Book excerpt: Here is a chapter from Portfolio Performance Measurement and Benchmarking, which will help you create a system you can use to accurately measure your performance. The authors highlight common mechanical problems involved in building benchmarks and clearly illustrate the resulting fallouts. The failure to choose the right investing performance benchmarks often leads to bad decisions or inaction and, inevitably, lost profits. In this book you will discover a foundation for benchmark construction and discuss methods for all different asset classes and investment styles.

Download or read book Portfolio Optimization in a Downside Risk Framework written by Lars Huelin and published by LAP Lambert Academic Publishing. This book was released on 2011-04 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: The present study examines how downside risk measures perform in an investment management context compared to variance or standard deviation. To our knowledge, this paper is the first to include several acknowledged downside risk measures in a thorough analysis where their different properties are compared with those of variance Risk is an essential factor to consider when investing in the capital markets. The question of how one should define and manage risk is one that has gained a lot of attention and remains a popular topic in both the academic and professional world. This study considers six different downside risk measures and tests their relationship with the cross-section of returns as well as their performance in portfolio optimization compared to variance. The first part of the analysis suggests that the conditional drawdown-at-risk explains the cross-section of returns the best across methodologies and data frequency. Conditional valueat- risk explains the daily returns the best but the worst in monthly returns. Variance, together with semivariance, perform average in both data frequencies. The second part of the analysis concludes that conditional value-at-risk and conditional drawdown-at-risk are the two superior risk measures whereas semivariance is the worst performing risk measure - mainly caused by the poor performance during bull markets. Again, variance performs average compared to the downside risk measures in most aspects of this analysis. Overall, this thesis shows that the choice of risk measure has a significant effect on the portfolio optimization process. The analysis suggests that some downside risk measures outperform variance while others fail to do so. This suggest that downside risk can be a better tool in investment management than variance.