Data Envelopment Analysis Approach
E-Book, Englisch, 168 Seiten, E-Book
Reihe: Wiley Finance Editions
ISBN: 978-0-471-73004-0
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
"This book steps beyond the traditional trade-off betweensingle variables for risk and return in the determination ofinvestment portfolios. For the first time, a comprehensiveprocedure is presented to compose portfolios using multiplemeasures of risk and return simultaneously. This approachrepresents a watershed in portfolio construction techniques and isespecially 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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Autoren/Hrsg.
Weitere Infos & Material
Preface.
Acknowledgments.
Chapter 1: Fund Selection and Data EnvelopmentAnalysis.
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-BenchmarkModels.
Introduction.
Results.
Conclusion.
Chapter 10: Closing Remarks.
References.
Index.
About the CD-Rom.
About the Authors.