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EVALUATING HEDGE FUND AND CTA PERFORMANCE: DATA ENVELOPMENT ANALYSIS APPROACH + CD(英文原版进口)

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EVALUATING HEDGE FUND AND CTA PERFORMANCE: DATA ENVELOPMENT ANALYSIS APPROACH + CD(英文原版进口)

最 低 价:¥1626.00

定 价:¥1626.00

作 者:GREGORIOU

出 版 社:John Wiley*

出版时间:2005 年4月

I S B N:0471681857

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内容简介

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
  
  Order your copy today!
  
  
  

作者简介

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 .. << 查看详细

目录

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.



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