Introducing Data Envelopment Analysis (DEA) — a quantitative approach to assess the performance of hedge funds, funds of hedge funds, and commmodity trading advisors. Steep yourself in this approach with this important new book by Greg Gregoriou and Joe Zhu.
""This book steps beyond the traditional trade-off between single variables for risk and return in the determination of investment portfolios. For the first time, a comprehensive procedure is presented to compose portfolios using multiple measures of risk and return simultaneously. This approach represents a watershed in portfolio construction techniques and is especially useful for hedge fund and CTA offerings.""
— Richard E. Oberuc, CEO, Burlington Hall Asset Management, Inc. Chairman, Foundation for Managed Derivatives Research
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Many pension funds, endowment funds, institutional investors, and individuals include hedge funds, funds of hedge funds (FOFs), and commodity trading advisors (CTAs) in their portfolios for diversification and downside protection. However, choosing from thousands of hedge funds and CTAs is complicated because standard market indices do not accurately depict their performance or facilitate comparison.
Data Envelopment Analysis (DEA) is a complementary performance measure that:
- Permits appraisal and ranking of hedge funds and CTAs in a risk-return framework without using indices
- Generates a single measure of performance that takes into account the multiple measurements of inputs and outputs to estimate a fund's efficiency level
- Allows the use of various inputs and outputs to assess fund rankings
Evaluating Hedge Fund and CTA Performance explains the theory and principles of DEA with information on:
- DEA models
- Classification and benchmarking models
- Data, inputs, and outputs
It goes beyond explanations to real-life applications of returns to scale, context dependent DEA, and fixed and variable benchmark models. Tables give DEA evaluations of twenty live hedge funds in each of seven different categories. Similar assessments are demonstrated for five live CTAs in six different categories.
The accompanying CD-ROM gives you the software to analyze funds you're interested in.
The CD-ROM shows examples of DEA models in the book and gives you DEAFrontier software so you can create spreadsheets, using other inputs and outputs, and run the various models to obtain efficiency scores for other funds. The DEA technique can also be used in asset allocation, portfolio selection, financial planning, and other applications.
GREG N. GREGORIOU is Assistant Professor of Finance and coordinator of faculty research in the School of Business and Economics at the State University of New York (Plattsburgh). He received his BA in economics from Concordia University and his MBA and PhD in finance from the University of Quebec at Montreal. He is an associate with the Peritus Group in Montreal and the hedge fund editor and an editorial board member for Derivatives Use, Trading and Regulation (London). Gregoriou has published over forty articles on hedge funds and CTAs for peer--reviewed publications such as the Journal of Futures Markets, European Journal of Operational Research, Annals of Operations Research, European Journal of Finance, and Journal of Asset Management. He is coauthor or coeditor of three books on hedge funds and CTAs: Performance Evaluation of Hedge Funds; Hedge Funds: Strategies, Risk Assessment, and Returns; and Commodity Trading Advisors: Risk, Performance Analysis, and Selection (Wiley). JOE ZHU is Associate Professor of Operations in the Department of Management at Worcester Polytechnic Institute. Zhu received his PhD in industrial engineering and operations research from the University of Massachusetts Amherst. Zhu has published two books focusing on performance evaluation using Data Envelopment Analysis and has developed the DEAFrontier software. An associate editor of the Omega journal, he is an expert in methods of performance measurement. Dr. Zhu has published over forty refereed papers in journals such as Management Science, Operations Research, IIE Transactions, and the Journal of Operational Research Society.
Preface. Acknowledgments. Chapter 1: Fund Selection and Data Envelopment Analysis. Introduction. Fund Selection. What Is Data Envelopment Analysis? Chapter 2: DEA Models. Introduction. DEA Model Calculation. Markowitz Model and Sharpe Ratio. Constant Returns--to--Scale DEA Model. Negative Data. DEAFrontier Excel Add--In. Solving DEA Model. Chapter 3: Classification Methods. Introduction. Returns--to--Scale Classification. Context--Dependent DEA. Chapter 4: Benchmarking Models. Introduction. Variable--Benchmark Model. Solving Variable--Benchmark Model. Fixed--Benchmark Model. Solving Fixed--Benchmark Model. Chapter 5: Data, Inputs, and Outputs. Description of Data. Methodology. Preparing the Data for DEAFrontier. Chapter 6: Application of Basic DEA Models. Introduction. Results. Conclusion. Chapter 7: Application of Returns--to--Scale. Introduction. Results. Conclusion. Chapter 8: Application of Context--Dependent DEA. Introduction. Results. Conclusion. Chapter 9: Application of Fixed-- and Variable--Benchmark Models. Introduction. Results. Conclusion. Chapter 10: Closing Remarks. References. Index. About the CD--Rom. About the Authors.
Joe Zhu, Greg N. Professor Gregoriou
EVALUATING HEDGE FUND & CTA PE
John Wiley & Sons Inc
Data Envelopment Analysis Approach
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