Extent: | Online-Ressource (xvi, 128 p) |
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Series: | |
Type of publication: | Book / Working Paper |
Language: | English |
Notes: | Includes bibliographical references (p. ) and index Contents; 1 Introduction; Markowitz Efficiency; An Asset Management Tool; Traditional Objections; The Most Important Limitations; Resolving the Limitations of Mean-Variance Optimization; Illustrating the Techniques; 2 Classic Mean-Variance Optimization; Portfolio Risk and Return; Defining Markowitz Efficiency; Optimization Constraints; The Residual Risk-Return Efficient Frontier; Computer Algorithms; Asset Allocation Versus Equity Portfolio Optimization; A Global Asset Allocation Example; Reference Portfolios and Portfolio Analysis; Return Premium Efficient Frontiers Appendix: Mathematical Formulation of MV Efficiency3 Traditional Criticisms and Alternatives; Alternative Measures of Risk; Utility Function Optimization; Multiperiod Investment Horizons; Asset-Liability Financial Planning Studies; Linear Programming Optimization; 4 Unbounded MV Portfolio Efficiency; Unbounded MV Optimization; The Fundamental Limitations of Unbounded MV Efficiency; Repeating Jobson and Korkie; Implications of Jobson and Korkie Analysis; Statistical MV Efficiency and Implications; 5 Linear Constrained MV Efficiency; Linear Constraints; Efficient Frontier Variance Rank-Associated Efficient PortfoliosHow Practical an Investment Tool?; 6 The Resampled Efficient Frontier™; Efficient Frontier Statistical Analysis; Properties of Resampled Efficient Frontier Portfolios; True and Estimated Optimization Inputs; Simulation Proofs of Resampled Efficiency Optimization; Why Does It Work; Certainty Level and RE Optimality; FC Level Applications; The REF Maximum Return Point (MRP); Implications for Asset Management; Conclusion; Appendix A: Rank- Versus λ-Associated RE Portfolios; Appendix B: Robert's Hedgehog; 7 Portfolio Rebalancing, Analysis, and Monitoring Resampled Efficiency and Distance FunctionsPortfolio Need-to-Trade Probability; Meta-Resampling Portfolio Rebalancing; Portfolio Monitoring and Analysis; Conclusion; Appendix: Confidence Region for the Sample Mean Vector; 8 Input Estimation and Stein Estimators; Admissible Estimators; Bayesian Procedures and Priors; Four Stein Estimators; James-Stein Estimator; James-Stein MV Efficiency; Out-of-Sample James-Stein Estimation; Frost-Savarino Estimator; Covariance Estimation; Stein Covariance Estimation; Utility Functions and Input Estimation; Ad Hoc Estimators; Stein Estimation Caveats ConclusionsAppendix: Ledoit Covariance Estimation; 9 Benchmark Mean-Variance Optimization; Benchmark-Relative Optimization Characteristics; Tracking Error Optimization and Constraints; Constraint Alternatives; Roll's Analysis; Index Efficiency; A Simple Benchmark-Relative Framework; Long-Short Investing; Conclusion; 10 Investment Policy and Economic Liabilities; Misusing Optimization; Economic Liability Models; Endowment Fund Investment Policy; Pension Liabilities and Benchmark Optimization; Limitations of Actuarial Liability Estimation; Current Pension Liabilities Total and Variable Pension Liabilities Electronic reproduction; Available via World Wide Web |
ISBN: | 978-0-19-533191-2 ; 978-0-19-533191-2 |
Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012674840