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Risk And Asset Allocation (Hardcover, 1st ed. 2005. Corr. 3rd printing 2007): Attilio Meucci Risk And Asset Allocation (Hardcover, 1st ed. 2005. Corr. 3rd printing 2007)
Attilio Meucci
R3,573 Discovery Miles 35 730 Ships in 10 - 15 working days

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.

At symmys.com the reader will find freely downloadable complementary materials: the Exercise Book; a set of thoroughly documented MATLAB(r) applications; and the Technical Appendices with all the proofs. More materials and complete reviews can also be found at symmys.com.

Risk and Asset Allocation (Paperback, 1st ed. 2005. Corr. 3rd printing 2009): Attilio Meucci Risk and Asset Allocation (Paperback, 1st ed. 2005. Corr. 3rd printing 2009)
Attilio Meucci
R2,196 Discovery Miles 21 960 Ships in 12 - 17 working days

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.

At symmys.com the reader will find freely downloadable complementary materials: the Exercise Book; a set of thoroughly documented MATLAB(r) applications; and the Technical Appendices with all the proofs. More materials and complete reviews can also be found at symmys.com.

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