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.
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.
In the turbulent marketplace of the New Economy, portfolio managers must expertly control risk for investors who demand better and better returns even from the safest investments. Finance and investing expert Frank Fabozzi leads a team of experts in the discussion of the key issues of fixed income portfolio management in the latest Perspectives title from his best-selling library. Perspectives on Fixed Income Portfolio Management covers topics on the frontiers of fixed income portfolio management with a focus on risk control, volatility framework for the corporate market, risk management for fixed income asset management, and credit derivatives in portfolio management. Other important topics include: attribution of portfolio performance relative to an index; quantitative analysis of fixed income portfolios; value-at-risk for fixed-income portfolios; methodological trade-offs. The book also provides a variety of illustrations.
The distinction between out-performance of an Investment fund or plan manager vs rewards for taking risks is at the heart of all discussions on Investment fund performance measurement of fund managers. This issue is not always well-understood and the notion of risk adjusting performance is not universally accepted. Performance Measurement in Finance addresses this central issue. The topics covered include evaluation of investment fund management, evaluation of the investment fund itself, and stock selection performance. The book also surveys and critiques existing methodologies of performance measurement and covers new innovative approaches to performance measurement. The contributors to the text include both academics and practitioners providing comprehensive coverage of the topic areas. Performance Measurement in Finance is all about how to effectively measure financial performance of the fund manager and investment house managers, what measures need to be put in place and technically what works and what doesn't. It covers risk, and what's acceptable and what isn't, how, in short, to manage risk. - Includes practical information to enable Investment/Portfolio Managers to understand and evaluate fund managers, the funds themselves, and Investment firms - Provides a full overview of the topic as well as in-depth technical analysis
TRB's Transit Cooperative Research Program (TCRP) Report 141: A Methodology for Performance Measurement and Peer Comparison in the Public Transportation Industry explores the use of performance measurement and benchmarking as tools to help identify the strengths and weaknesses of a transit organization, set goals or performance targets, and identify best practices to improve performance.
The practice of institutional bond portfolio management has changed markedly since the late 1980s in response to new financial instruments, investment methodologies, and improved analytics. Investors are looking for a more disciplined, quantitative approach to asset management. Here, five top authorities from a leading Wall Street firm provide practical solutions and feasible methodologies based on investor inquiries. While taking a quantitative approach, they avoid complex mathematical derivations, making the book accessible to a wide audience, including portfolio managers, plan sponsors, research analysts, risk managers, academics, students, and anyone interested in bond portfolio management. The book covers a range of subjects of concern to fixed-income portfolio managers--investment style, benchmark replication and customization, managing credit and mortgage portfolios, managing central bank reserves, risk optimization, and performance attribution. The first part contains empirical studies of security selection versus asset allocation, index replication with derivatives and bonds, optimal portfolio diversification, and long-horizon performance of assets. The second part covers portfolio management tools for risk budgeting, bottom-up risk modeling, performance attribution, innovative measures of risk sensitivities, and hedging risk exposures. A first-of-its-kind publication from a team of practitioners at the front lines of financial thinking, this book presents a winning combination of mathematical models, intuitive examples, and clear language.
Financial Risk Measurement is a challenging task, because both the types of risk and the techniques evolve very quickly. This book collects a number of novel contributions to the measurement of financial risk, which address either non-fully explored risks or risk takers, and does so in a wide variety of empirical contexts.
This book presents solutions to the general problem of single period portfolio optimization. It introduces different linear models, arising from different performance measures, and the mixed integer linear models resulting from the introduction of real features. Other linear models, such as models for portfolio rebalancing and index tracking, are also covered. The book discusses computational issues and provides a theoretical framework, including the concepts of risk-averse preferences, stochastic dominance and coherent risk measures. The material is presented in a style that requires no background in finance or in portfolio optimization; some experience in linear and mixed integer models, however, is required. The book is thoroughly didactic, supplementing the concepts with comments and illustrative examples.
