Rights Contact Login For More Details
- Wiley
More About This Title Evaluating Hedge Fund and CTA Performance: DataEnvelopment Analysis Approach + CD
- English
English
"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
Order your copy today!
- English
English
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.
- English
English
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.