Risk and Asset Allocation

This encyclopedic, self-contained, detailed exposition spans all the steps of one-period allocation from the basics to the most advanced and recent developments. A variety of multivariate estimation methods are analyzed in depth, including non-parametric, maximum-likelihood under non-normal hypothes...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Meucci, Attilio (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2005.
Σειρά:Springer Finance,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 03608nam a22005415i 4500
001 978-3-540-27904-4
003 DE-He213
005 20151204145124.0
007 cr nn 008mamaa
008 100301s2005 gw | s |||| 0|eng d
020 |a 9783540279044  |9 978-3-540-27904-4 
024 7 |a 10.1007/978-3-540-27904-4  |2 doi 
040 |d GrThAP 
050 4 |a HG1-HG9999 
072 7 |a KFF  |2 bicssc 
072 7 |a BUS027000  |2 bisacsh 
082 0 4 |a 332  |2 23 
100 1 |a Meucci, Attilio.  |e author. 
245 1 0 |a Risk and Asset Allocation  |h [electronic resource] /  |c by Attilio Meucci. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2005. 
300 |a XXVI, 532 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Springer Finance,  |x 1616-0533 
505 0 |a The statistics of asset allocation -- Univariate statistics -- Multivariate statistics -- Modeling the market -- Classical asset allocation -- Estimating the distribution of the market invariants -- Evaluating allocations -- Optimizing allocations -- Accounting for estimation risk -- Estimating the distribution of the market invariants -- Evaluating allocations -- Optimizing allocations. 
520 |a This encyclopedic, self-contained, detailed exposition spans all the steps of one-period allocation from the basics to the most advanced and recent developments. A variety of multivariate estimation methods are analyzed in depth, including non-parametric, maximum-likelihood under non-normal hypotheses, shrinkage, robust, etc., in addition to very general multivariate Bayesian techniques. Evaluation methods such as stochastic dominance, expected utility, value at risk and coherent measures are thoroughly analyzed in a unified setting and applied in a variety of contexts, including total return and benchmark allocation, prospect theory, etc. Portfolio optimization is presented with emphasis on estimation risk, which is tackled by means of Bayesian, resampling and robust optimization techniques. This work is both a reference for practitioners and a textbook for students. The only prerequisites are linear algebra and multivariate calculus. All the statistical tools, such as copulas, location-dispersion ellipsoids and matrix-variate distribution theory, are introduced from the basics. The same holds for the mathematical machinery, such as computational results from cone programming and heuristic arguments from functional analysis. Comprehension is supported by a large number of practical examples, real trading and asset management case studies, figures, geometrical arguments and MATLAB® applications, which can be freely downloaded from symmys.com. 
650 0 |a Finance. 
650 0 |a Operations research. 
650 0 |a Decision making. 
650 0 |a Matrix theory. 
650 0 |a Algebra. 
650 0 |a Economics, Mathematical. 
650 0 |a Statistics. 
650 1 4 |a Finance. 
650 2 4 |a Finance, general. 
650 2 4 |a Operation Research/Decision Theory. 
650 2 4 |a Quantitative Finance. 
650 2 4 |a Linear and Multilinear Algebras, Matrix Theory. 
650 2 4 |a Statistical Theory and Methods. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783540222132 
830 0 |a Springer Finance,  |x 1616-0533 
856 4 0 |u http://dx.doi.org/10.1007/978-3-540-27904-4  |z Full Text via HEAL-Link 
912 |a ZDB-2-SMA 
950 |a Mathematics and Statistics (Springer-11649)