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Risk and Asset Allocation

(Pocket)

469 kr
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Leveringstid: 5-15 arbeidsdager

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® applications; and the Technical Appendices with all the proofs. More materials and complete reviews can also be found at symmys.com. TOC:Preface.- One-dimensional Random Variables.- Multi-dimensional Random Variables.- Modelling the Market.- Estimating the Invariants Distribution.- Evaluating Allocations.- Optimizing Allocations.- Estimation and Optimization together.- Appendices: Linear Algebra.- Functional Analysis.- References.- Index.

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Forlag: Springer  Kategori: Matematikk & Statistikk, Regnskap & Revisjon 
Leveringstid: 5-15 arbeidsdager  Innbinding: Pocket 
ISBN: 9783642009648  Antall sider: 532 
Språk: Engelsk     
Tittel: Risk and Asset Allocation  Forfatter: Attilio Meucci  
Redaktør:   Høytleser:  
Oversetter:   Utgivelsesdato: 2009-05-22 
Utgave:   ISBN 10: 3642009646 
Serie: Springer Finance     

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