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2010-09-23
Part I The statistics of asset allocation
1Univariatestatistics ....................................... 3
1.1 Buildingblocks.......................................... 3
1.2 Summarystatistics ...................................... 9
1.2.1 Location ......................................... 9
1.2.2 Dispersion........................................ 11
1.2.3 Higher-order statistics ............................. 14
1.2.4 Graphicalrepresentations .......................... 15
1.3 Taxonomy of distributions . . . ............................. 16
1.3.1 Uniform distribution . . ............................. 16
1.3.2 Normaldistribution ............................... 18
1.3.3 Cauchy distribution . . ............................. 20
1.3.4 Student t distribution . ............................. 22
1.3.5 Lognormal distribution ............................. 24
1.3.6 Gammadistribution ............................... 26
1.3.7 Empirical distribution. ............................. 28
1.T Technicalappendix ......................................www
2 Multivariate statistics ..................................... 33
2.1 Buildingblocks.......................................... 34
2.2 Factorization of a distribution ............................. 38
2.2.1 Marginal distribution . ............................. 38
2.2.2 Copulas.......................................... 40
.................................www 1.E Exe rcise s .. . . ... . .. .
2.3 Dependence............................................. 45
2.4 Shapesummarystatistics................................. 48
2.4.1 Location ......................................... 48
2.4.2 Dispersion........................................ 50
2.4.3 Location-dispersionellipsoid ........................ 54
2.4.4 Higher-order statistics ............................. 57
2.5 Dependencesummarystatistics ........................... 59
2.5.1 Measuresofdependence............................ 59
2.5.2 Measuresofconcordance ........................... 64
2.5.3 Correlation....................................... 67
2.6 Taxonomy of distributions . . . ............................. 70
2.6.1 Uniform distribution . . ............................. 70
2.6.2 Normaldistribution ............................... 72
2.6.3 Student t distribution . ............................. 77
2.6.4 Cauchy distribution . . ............................. 81
2.6.5 Log-distributions . ................................. 82
2.6.6 Wishart distribution . . ............................. 84
2.6.7 Empirical distribution. ............................. 87
2.6.8 Order statistics ................................... 89
2.7 Special classes of distributions . . . ......................... 91
2.7.1 Elliptical distributions ............................. 91
2.7.2 Stable distributions . . . ............................. 96
2.7.3 In…nitely divisible distributions ..................... 98
2.T Technicalappendix ......................................www
3 Modeling the market ...................................... 101
3.1 Thequest for invariance..................................103
3.1.1 Equities,commodities, exchangerates................105
3.1.2 Fixed-incomemarket ..............................109
3.1.3 Derivatives .......................................114
3.2 Projectionof theinvariants totheinvestmenthorizon........122
3.3 Frominvariants tomarketprices ..........................126
3.3.1 Rawsecurities ....................................126
3.3.2 Derivatives .......................................129
3.4 Dimensionreduction.....................................131
3.4.1 Explicit factors....................................133
3.4.2 Hiddenfactors ....................................138
3.4.3 Explicitvs.hiddenfactors ..........................143
3.4.4 Notableexamples .................................145
3.4.5 Ausefulroutine...................................147
3.5 Casestudy:modelingtheswapmarket .....................150
3.5.1 Themarket invariants .............................150
3.5.2 Dimensionreduction...............................151
3.5.3 Theinvariantsat the investmenthorizon .............160
3.5.4 Frominvariants toprices ...........................162
.................................www Exercises .. . . ... . .. . .E 2
3.T Technicalappendix ......................................www
Part II Classical asset allocation
4 Estimating the distribution of the market invariants ....... 169
4.1 Estimators .............................................171
4.1.1 De…nition ........................................172
4.1.2 Evaluation .......................................173
4.2 Nonparametricestimators ................................178
4.2.1 Location,dispersionandhiddenfactors ..............181
4.2.2 Explicit factors....................................184
4.2.3 Kernelestimators .................................185
4.3 Maximumlikelihoodestimators ...........................186
4.3.1 Location,dispersionandhiddenfactors ..............190
4.3.2 Explicit factors....................................192
4.3.3 Thenormal case ..................................193
4.4 Shrinkageestimators.....................................200
4.4.1 Location .........................................201
4.4.2 Dispersionandhiddenfactors.......................204
4.4.3 Explicit factors....................................209
4.5 Robustness .............................................209
4.5.1 Measuresofrobustness.............................211
4.5.2 Robustnessofpreviouslyintroducedestimators........216
4.5.3 Robustestimators .................................221
4.6 Practical tips ...........................................223
4.6.1 Detectionofoutliers ...............................223
4.6.2 Missingdata......................................229
4.6.3 Weightedestimates ................................232
4.6.4 Overlappingdata..................................234
4.6.5 Zero-meaninvariants ..............................234
4.6.6 Model-impliedestimation...........................235
4.T Technicalappendix ......................................www
5 Evaluating allocations ..................................... 237
5.1 Investor’sobjectives .....................................239
5.2 Stochasticdominance ....................................243
5.3 Satisfaction.............................................249
5.4 Certainty-equivalent (expectedutility) .....................260
5.4.1 Properties........................................262
5.4.2 Buildingutilityfunctions...........................270
5.4.3 Explicitdependenceonallocation ...................274
5.4.4 Sensitivityanalysis ................................276
5.5 Quantile(valueatrisk) ..................................277
5.5.1 Properties........................................278
.................................www Exercises .. . . ... . .. . .E 3
.................................www .. . . ... . .. . Exercises 4.E
5.5.2 Explicitdependenceonallocation ...................282
5.5.3 Sensitivityanalysis ................................285
5.6 Coherent indices (expectedshortfall).......................287
5.6.1 Properties........................................288
5.6.2 Buildingcoherent indices...........................292
5.6.3 Explicitdependenceonallocation ...................296
5.6.4 Sensitivityanalysis ................................298
5.T Technicalappendix ......................................www
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2010-9-23 15:09:36
6 Optimizing allocations ..................................... 301
6.1 Thegeneralapproach ....................................302
6.1.1 Collectinginformationonthe investor................303
6.1.2 Collectinginformationonthemarket ................305
6.1.3 Computing the optimal allocation . . .................306
6.2 Constrainedoptimization.................................311
6.2.1 Positiveorthants: linearprogramming................313
6.2.2 Ice-creamcones:second-order coneprogramming ......313
6.2.3 Semide…nite cones:semide…niteprogramming .........315
6.3 Themean-varianceapproach..............................315
6.3.1 Thegeometryofallocationoptimization..............316
6.3.2 Dimensionreduction:themean-varianceframework....319
6.3.3 Settingupthemean-varianceoptimization............320
6.3.4 Mean-varianceintermsof returns ...................323
6.4 Analytical solutionsofthemean-varianceproblem...........326
6.4.1 E¢cient frontierwitha¢ne constraints...............327
6.4.2 E¢cient frontierwithlinearconstraints ..............330
6.4.3 E¤ectsofcorrelationsandotherparameters ..........332
6.4.4 E¤ectsofthemarketdimension .....................335
6.5 Pitfallsof themean-variance framework ....................336
6.5.1 MVasanapproximation...........................336
6.5.2 MVasanindexofsatisfaction ......................338
6.5.3 Quadraticprogramminganddual formulation.........340
6.5.4 MVonreturns:estimationversusoptimization........342
6.5.5 MVonreturns: investmentatdi¤erenthorizons .......343
6.6 Total-returnversusbenchmarkallocation...................347
6.7 Casestudy:allocationinstocks ...........................354
6.7.1 Collectinginformationonthe investor................355
6.7.2 Collectinginformationonthemarket ................355
6.7.3 Computing the optimal allocation . . .................357
6.T Technicalappendix ......................................www
.................................www Exercises .. . . ... . .. . .E
.................................www Exercises .. . . ... . .. . .E 6
57 Estimating the distribution of the market invariants ....... 363
7.1 Bayesianestimation......................................364
7.1.1 Bayesian posterior distribution . .....................364
7.1.2 Summarizing the posterior distribution . . . ............366
7.1.3 Computing the posterior distribution ................369
7.2 Locationanddispersionparameters........................370
7.2.1 Computing the posterior distribution ................370
7.2.2 Summarizing the posterior distribution . . . ............373
7.3 Explicit factors..........................................377
7.3.1 Computing the posterior distribution ................377
7.3.2 Summarizing the posterior distribution . . . ............380
7.4 Determiningtheprior....................................383
7.4.1 Allocation-impliedparameters ......................385
7.4.2 Likelihoodmaximization ...........................387
7.T Technicalappendix ......................................www
8 Evaluating allocations ..................................... 389
8.1 Allocationsasdecisions ..................................390
8.1.1 Opportunitycostofasub-optimalallocation..........390
8.1.2 Opportunity cost as function of the market parameters . 394
8.1.3 Opportunitycostas lossofanestimator..............397
8.1.4 Evaluationofagenericallocationdecision............401
8.2 Priorallocation .........................................403
8.2.1 De…nition ........................................403
8.2.2 Evaluation .......................................404
8.2.3 Discussion........................................406
8.3 Sample-basedallocation..................................407
8.3.1 De…nition ........................................407
8.3.2 Evaluation .......................................408
8.3.3 Discussion........................................412
8.T Technicalappendix ......................................www
9 Optimizing allocations ..................................... 417
9.1 Bayesianallocation ......................................418
9.1.1 Utilitymaximization...............................419
9.1.2 Classical-equivalentmaximization ...................421
9.1.3 Evaluation .......................................422
9.1.4 Discussion........................................425
9.2 Black-Littermanallocation ...............................426
9.2.1 Generalde…nition .................................426
9.2.2 Practicable de…nition: linear expertise on normal
markets ..........................................429
9.2.3 Evaluation .......................................433
9.2.4 Discussion........................................436
Part III Accounting for estimation risk
.................................www Exercises .. . . ... . .. . .E
.................................www Exercises .. . . ... . .. . .E 8
79.3.1 Practicablede…nition:themean-variance setting ......438
9.3.2 Generalde…nition .................................440
9.3.3 Evaluation .......................................443
9.3.4 Discussion........................................445
9.4 Robustallocation........................................445
9.4.1 Generalde…nition .................................445
9.4.2 Practicablede…nition:themean-variance setting ......450
9.4.3
9.5 RobustBayesianallocation ...............................45
9.5.1 Generalde…nition .................................455
9.5.2 Practicablede…nition:themean-variance setting ......457
9.5.3 Discussion........................................459
9.T Technicalappendix ......................................www
Part IV Appendices
A Linear algebra ............................................. 465
A.1 Vector space ............................................465
A.2 Basis ..................................................468
A.3 Linear transformations ...................................469
A.3.1 Matrixrepresentation..............................470
A.3.2 Rotations ........................................471
A.4 Invariants ..............................................472
A.4.1 Determinant......................................472
A.4.2 Trace ............................................474
A.4.3 Eigenvalues.......................................474
A.5 Spectral theorem........................................475
A.5.1 Analyticalresult ..................................475
A.5.2 Geometrical interpretation..........................478
A.6 Matrixoperations .......................................480
A.6.1 Useful identities...................................480
A.6.2 TensorsandKroneckerproduct .....................482
A.6.3 The"vec"and"vech"operators.....................483
A.6.4 Matrixcalculus ...................................485
B Functional Analysis ........................................ 487
B.1 Vector space ............................................487
B.2 Basis ..................................................490
B.3 Linearoperators.........................................493
B.3.1 Kernelrepresentations .............................494
B.3.2 Unitaryoperators .................................494
B.4 Regularization ..........................................496
B.5 Expectationoperator ....................................499
B.6 Some special functions ...................................501
9.3 Resampledallocation ....................................437
.................................www Exercises .. . . ... . .. . .E 9
Discussion........................................453
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2013-7-31 11:27:12
谢谢楼主的分享啊~
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2013-11-7 00:56:39
这是书咩?
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2014-9-22 21:14:47
下载了看看
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