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Risk and asset allocation
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Risk and asset allocation

Author: Attilio Meucci
Publisher: Berlin ; New York : Springer, 2005.
Series: Springer finance.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
"This encyclopedic, detailed exposition spans all the steps of one-period allocation from the foundations to the most advanced developments. Multivariate estimation methods are analyzed in depth, including non-parametric, maximum-likelihood under non-normal hypotheses, shrinkage, robust, and very general Bayesian techniques." "Evaluation methods such as stochastic dominance, expected utility, value at risk and  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Meucci, Attilio.
Risk and asset allocation.
Berlin ; New York : Springer, 2005
(DLC) 2005922398
(OCoLC)57166378
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Attilio Meucci
ISBN: 9783540279044 3540279040 9786610616381 6610616388 3540222138 9783540222132
OCLC Number: 655856307
Notes: "With 141 figures."
Description: 1 online resource (xxvi, 532 p.) : ill.
Contents: Part I: The statistics of asset allocation. Univariate statistics --
Multivariate statistics --
Modeling the market --
Part II: Classical asset allocation. Estimating the distribution of the market invariants --
Evaluating allocations --
Optimizing allocations --
Part III: Accounting for estimation risk. Estimating the distribution of the market invariants --
Evaluating allocations --
Optimizing allocations.
Series Title: Springer finance.
Responsibility: Attilio Meucci.
More information:

Abstract:

"This encyclopedic, detailed exposition spans all the steps of one-period allocation from the foundations to the most advanced developments. Multivariate estimation methods are analyzed in depth, including non-parametric, maximum-likelihood under non-normal hypotheses, shrinkage, robust, and very general Bayesian techniques." "Evaluation methods such as stochastic dominance, expected utility, value at risk and coherent measures are thoroughly discussed in a unified setting and applied in a variety of contexts, including prospect theory, total return and benchmark allocation. Portfolio optimization is presented with emphasis on estimation risk, which is tackled by means of Bayesian, resampling and robust optimization techniques. All the statistical and mathematical tools, such as copulas, location-dispersion ellipsoids, matrix-variate distributions, cone programming, are introduced from the basics. Comprehension is supported by a large number of figures and examples, as well as real trading and asset management case studies."--Jacket.

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