Performance measurement and attribution are key tools in informing investment decisions and strategies. Performance measurement is the quality control of the investment decision process, enabling money managers to calculate return, understand the behaviour of a portfolio of assets, communicate with clients and determine how performance can be improved. Focusing on the practical use and calculation of performance returns rather than the academic background, Practical Portfolio Performance Measurement and Attribution provides a clear guide to the role and implications of these methods in today's financial environment, enabling readers to apply their knowledge with immediate effect. Fully updated from the first edition, this book covers key new developments such as fixed income attribution, attribution of derivative instruments and alternative investment strategies, leverage and short positions, risk-adjusted performance measures for hedge funds plus updates on presentation standards. The book covers the mathematical aspects of the topic in an accessible and practical way, making this book an essential reference for anyone involved in asset management.

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.

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.

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.

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.

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.

This paper performs a census of the 101 performance measures for portfolios that have been proposed so far in the scientific literature. We discuss their main strengths and weaknesses and provide a classification based on their objectives, properties and degree of generalization. The measures are categorized based on the general way they are computed: asset selection vs. market timing, standardized vs. individualized, absolute vs. relative and excess return vs. gain measure. We show that several categories have been exhausted while some others feature very heterogeneous ways to assess performance within the same sets of objectives.Note. The definitive version of this working paper was published by the quot;Journal of Performance Measurementquot; in two parts:- ldquo;The (more than) 100 Ways to Measure Portfolio Performance - Part 1: Standardized Risk-Adjusted Measuresrdquo;, Journal of Performance Measurement, Vol. 13, Ndeg; 4, Summer 2009, pp. 56-71.- ldquo;The (more than) 100 Ways to Measure Portfolio Performance - Part 2: Special Measures and Comparisonrdquo;, Journal of Performance Measurement, Vol. 14, Ndeg; 1, Fall 2009, pp. 56-69.

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.

An intuitive and effective desk reference for performance measurement in asset and wealth management In The Complete Guide to Portfolio Performance: Appraise, Analyse, Act, a team of finance professors with extended practical experience deliver a hands-on desk reference for asset and wealth managers suitable for everyday use. Intuitively organized and full of concrete examples of the real-world implementation of the concepts discussed within, the book provides a comprehensive coverage of all important portfolio performance matters across 18 chapters of actionable and clearly described content. The authors have provided relevant cross-referencing where appropriate, “Key Takeaways and Equations” sections at the end of each chapter, and pointers to additional resources for anyone interested in pursuing further research. You'll also find: Discussions of more than a hundred classical and modern performance measures organized logically and with a focus on their applications Strategies for selecting appropriate performance measures based on your situation as a manager or investor Explanations of analytical techniques (statistical approaches, attribution, fund ratings...) enabling a comprehensive use of performance-related information Applications of portfolio performance criteria in concrete investment decision-making processes Highly actionable and logically organized material that's easy to find at a moment's notice A full set of pedagogical powerpoint slides and excel worksheets with all data and formulas Perfect for investors, portfolio managers, advisors, analysts, and regulators, The Complete Guide to Portfolio Performance is also a must-read reference for students and practitioners of asset and wealth management, as well as those pursuing certification such as CFA, CIPM, CIIA, and CAIA.

The idea of comparing the performance of different risky investments, for example investment funds, on a quantitative basis dates back to the beginnings of the asset management industry and has been an important field of research in finance since then. Performance measures serve as valuable quantitative evidence for the portfolio manager's performance as well as for the evaluation of investment decisions ex post. Based on the idea of the capital asset pricing model proposed by Treynor, Sharpe and Lintner, Treynor developed the first quantitative performance measure intended to rate mutual funds, the Treynor Ratio. Since then, a large number of performance measures with very different characteristics have been developed. In addition to their power of rating investments ex post, their ability to predict future performance has been thoroughly analyzed by Grinblatt & Titman, Brown & Goetzmann, Carhart and others. Besides academia, the driving force behind the development of more sophisticated performance measures has always been the investors. This is understandable, as "the truly poor managers are afraid, the unlucky managers will be unjustly condemned, and the new managers have no track record. Only the skilled (or lucky) managers are enthusiastic." By combining and applying the results of previous research to a new sample of nearly 10,000 mutual funds that invest in different countries and asset classes, this thesis clarifies its central research question: Is the Information Ratio a useful and reliable performance measure? In order to answer this central question, it has been split up into the following sub-parts: What are the characteristics of a useful and reliable performance measure? What actually is "good" performance? Is the "good" performance a result of luck or of skilled decisions and does it persist over time? How does the Information Ratio compare to other performance measures, and what are its strengths and weaknesses? This empirical study aims at answeri