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Advanced stochastic models, risk assessment, and portfolio optimization [[electronic resource] ] : the ideal risk, uncertainty, and performance measures / / by Svetlozar T. Rachev, Stoyan V. Stoyanov, Frank J. Fabozzi
| Advanced stochastic models, risk assessment, and portfolio optimization [[electronic resource] ] : the ideal risk, uncertainty, and performance measures / / by Svetlozar T. Rachev, Stoyan V. Stoyanov, Frank J. Fabozzi |
| Autore | Rachev S. T (Svetlozar Todorov) |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley |
| Descrizione fisica | 1 online resource (39 p.) |
| Disciplina | 332 |
| Altri autori (Persone) |
StoyanovStoyan V
FabozziFrank J |
| Collana | The Frank J. Fabozzi series |
| Soggetto topico |
Stochastic processes
Mathematical optimization Risk assessment - Mathematical models Portfolio management - Mathematical models |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-281-21730-1
0-470-25360-6 9786611217303 1-283-27295-4 9786613272959 1-118-08614-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Advanced Stochastic Models, Risk Assessment, and Portfolio Optimization; Contents; Preface; Acknowledgments; About the Authors; Chapter 1 Concepts of Probability; 1.1 INTRODUCTION; 1.2 BASIC CONCEPTS; 1.3 DISCRETE PROBABILITY DISTRIBUTIONS; 1.4 CONTINUOUS PROBABILITY DISTRIBUTIONS; 1.5 STATISTICAL MOMENTS AND QUANTILES; 1.6 JOINT PROBABILITY DISTRIBUTIONS; 1.7 PROBABILISTIC INEQUALITIES; 1.8 SUMMARY; BIBLIOGRAPHY; Chapter 2 Optimization; 2.1 INTRODUCTION; 2.2 UNCONSTRAINED OPTIMIZATION; 2.3 CONSTRAINED OPTIMIZATION; 2.4 SUMMARY; BIBLIOGRAPHY; Chapter 3 Probability Metrics; 3.1 INTRODUCTION
3.2 MEASURING DISTANCES: THE DISCRETE CASE3.3 PRIMARY, SIMPLE, AND COMPOUND METRICS; 3.4 SUMMARY; 3.5 TECHNICAL APPENDIX; BIBLIOGRAPHY; Chapter 4 Ideal Probability Metrics; 4.1 INTRODUCTION; 4.2 THE CLASSICAL CENTRAL LIMIT THEOREM; 4.3 THE GENERALIZED CENTRAL LIMIT THEOREM; 4.4 CONSTRUCTION OF IDEAL PROBABILITY METRICS; 4.5 SUMMARY; 4.6 TECHNICAL APPENDIX; BIBLIOGRAPHY; Chapter 5 Choice under Uncertainty; 5.1 INTRODUCTION; 5.2 EXPECTED UTILITY THEORY; 5.3 STOCHASTIC DOMINANCE; 5.4 PROBABILITY METRICS AND STOCHASTIC DOMINANCE; 5.5 SUMMARY; 5.6 TECHNICAL APPENDIX; BIBLIOGRAPHY Chapter 6 Risk and Uncertainty6.1 INTRODUCTION; 6.2 MEASURES OF DISPERSION; 6.3 PROBABILITY METRICS AND DISPERSION MEASURES; 6.4 MEASURES OF RISK; 6.5 RISK MEASURES AND DISPERSION MEASURES; 6.6 RISK MEASURES AND STOCHASTIC ORDERS; 6.7 SUMMARY; 6.8 TECHNICAL APPENDIX; BIBLIOGRAPHY; Chapter 7 Average Value-at-Risk; 7.1 INTRODUCTION; 7.2 AVERAGE VALUE-AT-RISK; 7.3 AVaR ESTIMATION FROM A SAMPLE; 7.4 COMPUTING PORTFOLIO AVaR IN PRACTICE; 7.5 BACKTESTING OF AVaR; 7.6 SPECTRAL RISK MEASURES; 7.7 RISK MEASURES AND PROBABILITY METRICS; 7.8 SUMMARY; 7.9 TECHNICAL APPENDIX; BIBLIOGRAPHY Chapter 8 Optimal Portfolios8.1 INTRODUCTION; 8.2 MEAN-VARIANCE ANALYSIS; 8.3 MEAN-RISK ANALYSIS; 8.4 SUMMARY; 8.5 TECHNICAL APPENDIX; BIBLIOGRAPHY; Chapter 9 Benchmark Tracking Problems; 9.1 INTRODUCTION; 9.2 THE TRACKING ERROR PROBLEM; 9.3 RELATION TO PROBABILITY METRICS; 9.4 EXAMPLES OF r.d. METRICS; 9.5 NUMERICAL EXAMPLE; 9.6 SUMMARY; 9.7 TECHNICAL APPENDIX; BIBLIOGRAPHY; Chapter 10 Performance Measures; 10.1 INTRODUCTION; 10.2 REWARD-TO-RISK RATIOS; 10.3 REWARD-TO-VARIABILITY RATIOS; 10.4 SUMMARY; 10.5 TECHNICAL APPENDIX; BIBLIOGRAPHY; Index |
| Record Nr. | UNINA-9910461561503321 |
Rachev S. T (Svetlozar Todorov)
|
||
| Hoboken, N.J., : Wiley | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced stochastic models, risk assessment, and portfolio optimization [[electronic resource] ] : the ideal risk, uncertainty, and performance measures / / by Svetlozar T. Rachev, Stoyan V. Stoyanov, Frank J. Fabozzi
| Advanced stochastic models, risk assessment, and portfolio optimization [[electronic resource] ] : the ideal risk, uncertainty, and performance measures / / by Svetlozar T. Rachev, Stoyan V. Stoyanov, Frank J. Fabozzi |
| Autore | Rachev S. T (Svetlozar Todorov) |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley |
| Descrizione fisica | 1 online resource (39 p.) |
| Disciplina | 332 |
| Altri autori (Persone) |
StoyanovStoyan V
FabozziFrank J |
| Collana | The Frank J. Fabozzi series |
| Soggetto topico |
Stochastic processes
Mathematical optimization Risk assessment - Mathematical models Portfolio management - Mathematical models |
| ISBN |
1-281-21730-1
0-470-25360-6 9786611217303 1-283-27295-4 9786613272959 1-118-08614-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Advanced Stochastic Models, Risk Assessment, and Portfolio Optimization; Contents; Preface; Acknowledgments; About the Authors; Chapter 1 Concepts of Probability; 1.1 INTRODUCTION; 1.2 BASIC CONCEPTS; 1.3 DISCRETE PROBABILITY DISTRIBUTIONS; 1.4 CONTINUOUS PROBABILITY DISTRIBUTIONS; 1.5 STATISTICAL MOMENTS AND QUANTILES; 1.6 JOINT PROBABILITY DISTRIBUTIONS; 1.7 PROBABILISTIC INEQUALITIES; 1.8 SUMMARY; BIBLIOGRAPHY; Chapter 2 Optimization; 2.1 INTRODUCTION; 2.2 UNCONSTRAINED OPTIMIZATION; 2.3 CONSTRAINED OPTIMIZATION; 2.4 SUMMARY; BIBLIOGRAPHY; Chapter 3 Probability Metrics; 3.1 INTRODUCTION
3.2 MEASURING DISTANCES: THE DISCRETE CASE3.3 PRIMARY, SIMPLE, AND COMPOUND METRICS; 3.4 SUMMARY; 3.5 TECHNICAL APPENDIX; BIBLIOGRAPHY; Chapter 4 Ideal Probability Metrics; 4.1 INTRODUCTION; 4.2 THE CLASSICAL CENTRAL LIMIT THEOREM; 4.3 THE GENERALIZED CENTRAL LIMIT THEOREM; 4.4 CONSTRUCTION OF IDEAL PROBABILITY METRICS; 4.5 SUMMARY; 4.6 TECHNICAL APPENDIX; BIBLIOGRAPHY; Chapter 5 Choice under Uncertainty; 5.1 INTRODUCTION; 5.2 EXPECTED UTILITY THEORY; 5.3 STOCHASTIC DOMINANCE; 5.4 PROBABILITY METRICS AND STOCHASTIC DOMINANCE; 5.5 SUMMARY; 5.6 TECHNICAL APPENDIX; BIBLIOGRAPHY Chapter 6 Risk and Uncertainty6.1 INTRODUCTION; 6.2 MEASURES OF DISPERSION; 6.3 PROBABILITY METRICS AND DISPERSION MEASURES; 6.4 MEASURES OF RISK; 6.5 RISK MEASURES AND DISPERSION MEASURES; 6.6 RISK MEASURES AND STOCHASTIC ORDERS; 6.7 SUMMARY; 6.8 TECHNICAL APPENDIX; BIBLIOGRAPHY; Chapter 7 Average Value-at-Risk; 7.1 INTRODUCTION; 7.2 AVERAGE VALUE-AT-RISK; 7.3 AVaR ESTIMATION FROM A SAMPLE; 7.4 COMPUTING PORTFOLIO AVaR IN PRACTICE; 7.5 BACKTESTING OF AVaR; 7.6 SPECTRAL RISK MEASURES; 7.7 RISK MEASURES AND PROBABILITY METRICS; 7.8 SUMMARY; 7.9 TECHNICAL APPENDIX; BIBLIOGRAPHY Chapter 8 Optimal Portfolios8.1 INTRODUCTION; 8.2 MEAN-VARIANCE ANALYSIS; 8.3 MEAN-RISK ANALYSIS; 8.4 SUMMARY; 8.5 TECHNICAL APPENDIX; BIBLIOGRAPHY; Chapter 9 Benchmark Tracking Problems; 9.1 INTRODUCTION; 9.2 THE TRACKING ERROR PROBLEM; 9.3 RELATION TO PROBABILITY METRICS; 9.4 EXAMPLES OF r.d. METRICS; 9.5 NUMERICAL EXAMPLE; 9.6 SUMMARY; 9.7 TECHNICAL APPENDIX; BIBLIOGRAPHY; Chapter 10 Performance Measures; 10.1 INTRODUCTION; 10.2 REWARD-TO-RISK RATIOS; 10.3 REWARD-TO-VARIABILITY RATIOS; 10.4 SUMMARY; 10.5 TECHNICAL APPENDIX; BIBLIOGRAPHY; Index |
| Record Nr. | UNINA-9910789716503321 |
|
Rachev S. T (Svetlozar Todorov)
|
||
| Hoboken, N.J., : Wiley | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced stochastic models, risk assessment, and portfolio optimization : the ideal risk, uncertainty, and performance measures / / by Svetlozar T. Rachev, Stoyan V. Stoyanov, Frank J. Fabozzi
| Advanced stochastic models, risk assessment, and portfolio optimization : the ideal risk, uncertainty, and performance measures / / by Svetlozar T. Rachev, Stoyan V. Stoyanov, Frank J. Fabozzi |
| Autore | Rachev S. T (Svetlozar Todorov) |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley |
| Descrizione fisica | 1 online resource (39 p.) |
| Disciplina | 332 |
| Altri autori (Persone) |
StoyanovStoyan V
FabozziFrank J |
| Collana | The Frank J. Fabozzi series |
| Soggetto topico |
Stochastic processes
Mathematical optimization Risk assessment - Mathematical models Portfolio management - Mathematical models |
| ISBN |
9786611217303
9786613272959 9781281217301 1281217301 9780470253601 0470253606 9781283272957 1283272954 9781118086148 1118086147 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Advanced Stochastic Models, Risk Assessment, and Portfolio Optimization; Contents; Preface; Acknowledgments; About the Authors; Chapter 1 Concepts of Probability; 1.1 INTRODUCTION; 1.2 BASIC CONCEPTS; 1.3 DISCRETE PROBABILITY DISTRIBUTIONS; 1.4 CONTINUOUS PROBABILITY DISTRIBUTIONS; 1.5 STATISTICAL MOMENTS AND QUANTILES; 1.6 JOINT PROBABILITY DISTRIBUTIONS; 1.7 PROBABILISTIC INEQUALITIES; 1.8 SUMMARY; BIBLIOGRAPHY; Chapter 2 Optimization; 2.1 INTRODUCTION; 2.2 UNCONSTRAINED OPTIMIZATION; 2.3 CONSTRAINED OPTIMIZATION; 2.4 SUMMARY; BIBLIOGRAPHY; Chapter 3 Probability Metrics; 3.1 INTRODUCTION
3.2 MEASURING DISTANCES: THE DISCRETE CASE3.3 PRIMARY, SIMPLE, AND COMPOUND METRICS; 3.4 SUMMARY; 3.5 TECHNICAL APPENDIX; BIBLIOGRAPHY; Chapter 4 Ideal Probability Metrics; 4.1 INTRODUCTION; 4.2 THE CLASSICAL CENTRAL LIMIT THEOREM; 4.3 THE GENERALIZED CENTRAL LIMIT THEOREM; 4.4 CONSTRUCTION OF IDEAL PROBABILITY METRICS; 4.5 SUMMARY; 4.6 TECHNICAL APPENDIX; BIBLIOGRAPHY; Chapter 5 Choice under Uncertainty; 5.1 INTRODUCTION; 5.2 EXPECTED UTILITY THEORY; 5.3 STOCHASTIC DOMINANCE; 5.4 PROBABILITY METRICS AND STOCHASTIC DOMINANCE; 5.5 SUMMARY; 5.6 TECHNICAL APPENDIX; BIBLIOGRAPHY Chapter 6 Risk and Uncertainty6.1 INTRODUCTION; 6.2 MEASURES OF DISPERSION; 6.3 PROBABILITY METRICS AND DISPERSION MEASURES; 6.4 MEASURES OF RISK; 6.5 RISK MEASURES AND DISPERSION MEASURES; 6.6 RISK MEASURES AND STOCHASTIC ORDERS; 6.7 SUMMARY; 6.8 TECHNICAL APPENDIX; BIBLIOGRAPHY; Chapter 7 Average Value-at-Risk; 7.1 INTRODUCTION; 7.2 AVERAGE VALUE-AT-RISK; 7.3 AVaR ESTIMATION FROM A SAMPLE; 7.4 COMPUTING PORTFOLIO AVaR IN PRACTICE; 7.5 BACKTESTING OF AVaR; 7.6 SPECTRAL RISK MEASURES; 7.7 RISK MEASURES AND PROBABILITY METRICS; 7.8 SUMMARY; 7.9 TECHNICAL APPENDIX; BIBLIOGRAPHY Chapter 8 Optimal Portfolios8.1 INTRODUCTION; 8.2 MEAN-VARIANCE ANALYSIS; 8.3 MEAN-RISK ANALYSIS; 8.4 SUMMARY; 8.5 TECHNICAL APPENDIX; BIBLIOGRAPHY; Chapter 9 Benchmark Tracking Problems; 9.1 INTRODUCTION; 9.2 THE TRACKING ERROR PROBLEM; 9.3 RELATION TO PROBABILITY METRICS; 9.4 EXAMPLES OF r.d. METRICS; 9.5 NUMERICAL EXAMPLE; 9.6 SUMMARY; 9.7 TECHNICAL APPENDIX; BIBLIOGRAPHY; Chapter 10 Performance Measures; 10.1 INTRODUCTION; 10.2 REWARD-TO-RISK RATIOS; 10.3 REWARD-TO-VARIABILITY RATIOS; 10.4 SUMMARY; 10.5 TECHNICAL APPENDIX; BIBLIOGRAPHY; Index |
| Record Nr. | UNINA-9910964166703321 |
|
Rachev S. T (Svetlozar Todorov)
|
||
| Hoboken, N.J., : Wiley | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in portfolio construction and implementation [[electronic resource] /] / edited by Stephen Satchell, Alan Scowcroft
| Advances in portfolio construction and implementation [[electronic resource] /] / edited by Stephen Satchell, Alan Scowcroft |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Amsterdam ; ; Oxford, : Butterworth-Heinemann, 2003 |
| Descrizione fisica | 1 online resource (384 p.) |
| Disciplina | 332.6 |
| Altri autori (Persone) |
SatchellS (Stephen)
ScowcroftAlan |
| Collana | Butterworth-Heinemann finance |
| Soggetto topico |
Portfolio management
Portfolio management - Mathematical models Investments |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-280-96633-5
9786610966332 1-4175-0763-2 0-08-047184-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Advances in Portfolio Construction and Implementation; Copyright Page; Contents; List of Contributors; Introduction; Chapter 1. A review of portfolio planning: models and systems; 1.1 Introduction and Overview; 1.2 Alternative Computational Models; 1.3 Symmetric and Asymmetric Measures of Risk; 1.4 Computational Models in Practice; 1.5 Preparation of Data: Financial Data Marts; 1.6 Solution Methods; 1.7 Computational Experience; 1.8 Discussions and Conclusions; 1.9 Appendix 1: Piecewise Linear Approximation of the Quadratic Form
1.10 Appendix 2: Comparative Computational Views of the Alternative ModelsReferences; Web References; Acknowledgements; Chapter 2. Generalized mean-variance analysis and robust portfolio diversification; 2.1 Introduction; 2.2 Generalized Mean-Variance Analysis; 2.3 The State Preference Theory Approach to Portfolio Construction; 2.4 Implementation and Simulation; 2.5 Conclusions and Suggested Further Work; References; Chapter 3. Portfolio construction from mandate to stock weight: a practitioner's perspective; 3.1 Introduction; 3.2 Allocating Tracking Error for Multiple Portfolio Funds 3.3 Tracking Errors for Arbitrary Portfolios3.4 Active CAPM, or How Far Should a Bet be Taken?; 3.5 Implementing Ideas in Real Stock Portfolios; 3.6 Conclusions; References; Chapter 4. Enhanced indexation; 4.1 Introduction; 4.2 Constructing a Consistent View; 4.3 Enhanced Indexing; 4.4 An Illustrative Example: Top-down or Bottom-up?; 4.5 Conclusions; 4.6 Appendix 1: Derivation of the Theil-Goldberger Mixed Estimator; 4.7 Appendix 2: Optimization; References; Notes; Chapter 5. Portfolio management under taxes; 5.1 Introduction; 5.2 Do Taxes Really Matter to Investors and Managers? 5.3 The Core Problems5.4 The State of the Art; 5.5 The Multi-Period Aspect; 5.6 Loss Harvesting; 5.7 After-Tax Benchmarks; 5.8 Conclusions; References; Chapter 6. Using genetic algorithms to construct portfolios; 6.1 Limitations of Traditional Mean-Variance Portfolio Optimization; 6.2 Selecting a Method to Limit the Number of Securities in the Final Portfolio; 6.3 Practical Construction of a Genetic Algorithm-Based Optimizer; 6.4 Performance of Genetic Algorithm; 6.5 Conclusions; References; Chapter 7. Near-uniformly distributed, stochastically generated portfolios 7.1 Introduction - A Tractable N-Dimensional Experimental Control7.2 Applications; 7.3 Dynamic Constraints; 7.4 Results from the Dynamic Constraints Algorithm; 7.5 Problems and Limitations with Dynamic Constraints Algorithm; 7.6 Improvements to the Distribution; 7.7 Results of the Dynamic Constraints with Local Density Control; 7.8 Conclusions; 7.9 Further Work; 7.10 Appendix 1: Review of Holding Distribution in Low Dimensions with Minimal Constraints; 7.11 Appendix 2: Probability Distribution of Holding Weight in Monte Carlo Portfolios in N Dimensions with Minimal Constraints 7.12 Appendix 3: The Effects of Simple Holding Constraints on Expected Distribution of Asset Holding Weights |
| Record Nr. | UNINA-9910456029303321 |
| Amsterdam ; ; Oxford, : Butterworth-Heinemann, 2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in portfolio construction and implementation [[electronic resource] /] / edited by Stephen Satchell, Alan Scowcroft
| Advances in portfolio construction and implementation [[electronic resource] /] / edited by Stephen Satchell, Alan Scowcroft |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Amsterdam ; ; Oxford, : Butterworth-Heinemann, 2003 |
| Descrizione fisica | 1 online resource (384 p.) |
| Disciplina | 332.6 |
| Altri autori (Persone) |
SatchellStephen <1949->
ScowcroftAlan |
| Collana | Butterworth-Heinemann finance |
| Soggetto topico |
Portfolio management
Portfolio management - Mathematical models Investments |
| ISBN |
1-280-96633-5
9786610966332 1-4175-0763-2 0-08-047184-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Advances in Portfolio Construction and Implementation; Copyright Page; Contents; List of Contributors; Introduction; Chapter 1. A review of portfolio planning: models and systems; 1.1 Introduction and Overview; 1.2 Alternative Computational Models; 1.3 Symmetric and Asymmetric Measures of Risk; 1.4 Computational Models in Practice; 1.5 Preparation of Data: Financial Data Marts; 1.6 Solution Methods; 1.7 Computational Experience; 1.8 Discussions and Conclusions; 1.9 Appendix 1: Piecewise Linear Approximation of the Quadratic Form
1.10 Appendix 2: Comparative Computational Views of the Alternative ModelsReferences; Web References; Acknowledgements; Chapter 2. Generalized mean-variance analysis and robust portfolio diversification; 2.1 Introduction; 2.2 Generalized Mean-Variance Analysis; 2.3 The State Preference Theory Approach to Portfolio Construction; 2.4 Implementation and Simulation; 2.5 Conclusions and Suggested Further Work; References; Chapter 3. Portfolio construction from mandate to stock weight: a practitioner's perspective; 3.1 Introduction; 3.2 Allocating Tracking Error for Multiple Portfolio Funds 3.3 Tracking Errors for Arbitrary Portfolios3.4 Active CAPM, or How Far Should a Bet be Taken?; 3.5 Implementing Ideas in Real Stock Portfolios; 3.6 Conclusions; References; Chapter 4. Enhanced indexation; 4.1 Introduction; 4.2 Constructing a Consistent View; 4.3 Enhanced Indexing; 4.4 An Illustrative Example: Top-down or Bottom-up?; 4.5 Conclusions; 4.6 Appendix 1: Derivation of the Theil-Goldberger Mixed Estimator; 4.7 Appendix 2: Optimization; References; Notes; Chapter 5. Portfolio management under taxes; 5.1 Introduction; 5.2 Do Taxes Really Matter to Investors and Managers? 5.3 The Core Problems5.4 The State of the Art; 5.5 The Multi-Period Aspect; 5.6 Loss Harvesting; 5.7 After-Tax Benchmarks; 5.8 Conclusions; References; Chapter 6. Using genetic algorithms to construct portfolios; 6.1 Limitations of Traditional Mean-Variance Portfolio Optimization; 6.2 Selecting a Method to Limit the Number of Securities in the Final Portfolio; 6.3 Practical Construction of a Genetic Algorithm-Based Optimizer; 6.4 Performance of Genetic Algorithm; 6.5 Conclusions; References; Chapter 7. Near-uniformly distributed, stochastically generated portfolios 7.1 Introduction - A Tractable N-Dimensional Experimental Control7.2 Applications; 7.3 Dynamic Constraints; 7.4 Results from the Dynamic Constraints Algorithm; 7.5 Problems and Limitations with Dynamic Constraints Algorithm; 7.6 Improvements to the Distribution; 7.7 Results of the Dynamic Constraints with Local Density Control; 7.8 Conclusions; 7.9 Further Work; 7.10 Appendix 1: Review of Holding Distribution in Low Dimensions with Minimal Constraints; 7.11 Appendix 2: Probability Distribution of Holding Weight in Monte Carlo Portfolios in N Dimensions with Minimal Constraints 7.12 Appendix 3: The Effects of Simple Holding Constraints on Expected Distribution of Asset Holding Weights |
| Record Nr. | UNINA-9910780446603321 |
| Amsterdam ; ; Oxford, : Butterworth-Heinemann, 2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in portfolio construction and implementation / / edited by Stephen Satchell, Alan Scowcroft
| Advances in portfolio construction and implementation / / edited by Stephen Satchell, Alan Scowcroft |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Amsterdam ; ; Oxford, : Butterworth-Heinemann, 2003 |
| Descrizione fisica | 1 online resource (384 p.) |
| Disciplina | 332.6 |
| Altri autori (Persone) |
SatchellS (Stephen)
ScowcroftAlan |
| Collana | Butterworth-Heinemann finance |
| Soggetto topico |
Portfolio management
Portfolio management - Mathematical models Investments |
| ISBN |
9786610966332
9781280966330 1280966335 9781417507634 1417507632 9780080471846 0080471846 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Advances in Portfolio Construction and Implementation; Copyright Page; Contents; List of Contributors; Introduction; Chapter 1. A review of portfolio planning: models and systems; 1.1 Introduction and Overview; 1.2 Alternative Computational Models; 1.3 Symmetric and Asymmetric Measures of Risk; 1.4 Computational Models in Practice; 1.5 Preparation of Data: Financial Data Marts; 1.6 Solution Methods; 1.7 Computational Experience; 1.8 Discussions and Conclusions; 1.9 Appendix 1: Piecewise Linear Approximation of the Quadratic Form
1.10 Appendix 2: Comparative Computational Views of the Alternative ModelsReferences; Web References; Acknowledgements; Chapter 2. Generalized mean-variance analysis and robust portfolio diversification; 2.1 Introduction; 2.2 Generalized Mean-Variance Analysis; 2.3 The State Preference Theory Approach to Portfolio Construction; 2.4 Implementation and Simulation; 2.5 Conclusions and Suggested Further Work; References; Chapter 3. Portfolio construction from mandate to stock weight: a practitioner's perspective; 3.1 Introduction; 3.2 Allocating Tracking Error for Multiple Portfolio Funds 3.3 Tracking Errors for Arbitrary Portfolios3.4 Active CAPM, or How Far Should a Bet be Taken?; 3.5 Implementing Ideas in Real Stock Portfolios; 3.6 Conclusions; References; Chapter 4. Enhanced indexation; 4.1 Introduction; 4.2 Constructing a Consistent View; 4.3 Enhanced Indexing; 4.4 An Illustrative Example: Top-down or Bottom-up?; 4.5 Conclusions; 4.6 Appendix 1: Derivation of the Theil-Goldberger Mixed Estimator; 4.7 Appendix 2: Optimization; References; Notes; Chapter 5. Portfolio management under taxes; 5.1 Introduction; 5.2 Do Taxes Really Matter to Investors and Managers? 5.3 The Core Problems5.4 The State of the Art; 5.5 The Multi-Period Aspect; 5.6 Loss Harvesting; 5.7 After-Tax Benchmarks; 5.8 Conclusions; References; Chapter 6. Using genetic algorithms to construct portfolios; 6.1 Limitations of Traditional Mean-Variance Portfolio Optimization; 6.2 Selecting a Method to Limit the Number of Securities in the Final Portfolio; 6.3 Practical Construction of a Genetic Algorithm-Based Optimizer; 6.4 Performance of Genetic Algorithm; 6.5 Conclusions; References; Chapter 7. Near-uniformly distributed, stochastically generated portfolios 7.1 Introduction - A Tractable N-Dimensional Experimental Control7.2 Applications; 7.3 Dynamic Constraints; 7.4 Results from the Dynamic Constraints Algorithm; 7.5 Problems and Limitations with Dynamic Constraints Algorithm; 7.6 Improvements to the Distribution; 7.7 Results of the Dynamic Constraints with Local Density Control; 7.8 Conclusions; 7.9 Further Work; 7.10 Appendix 1: Review of Holding Distribution in Low Dimensions with Minimal Constraints; 7.11 Appendix 2: Probability Distribution of Holding Weight in Monte Carlo Portfolios in N Dimensions with Minimal Constraints 7.12 Appendix 3: The Effects of Simple Holding Constraints on Expected Distribution of Asset Holding Weights |
| Record Nr. | UNINA-9910975416003321 |
| Amsterdam ; ; Oxford, : Butterworth-Heinemann, 2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Efficient asset management: a practical guide to stock portfolio optimization and asset allocation [[electronic resource] /] / Richard O. Michaud and Robert O. Michaud
| Efficient asset management: a practical guide to stock portfolio optimization and asset allocation [[electronic resource] /] / Richard O. Michaud and Robert O. Michaud |
| Autore | Michaud Richard O. <1941-> |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | New York, : Oxford University Press, 2008 |
| Descrizione fisica | 1 online resource (145 p.) |
| Disciplina | 332.6 |
| Altri autori (Persone) | MichaudRobert O |
| Collana | Financial management association survey and synthesis series |
| Soggetto topico |
Investment analysis - Mathematical models
Portfolio management - Mathematical models |
| Soggetto genere / forma | Electronic books. |
| ISBN |
0-19-988719-5
1-281-16231-0 9786611162313 0-19-971579-3 1-4356-3890-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
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 FrontierTM; 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 |
| Record Nr. | UNINA-9910451508403321 |
|
Michaud Richard O. <1941->
|
||
| New York, : Oxford University Press, 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Efficient asset management: a practical guide to stock portfolio optimization and asset allocation [[electronic resource] /] / Richard O. Michaud and Robert O. Michaud
| Efficient asset management: a practical guide to stock portfolio optimization and asset allocation [[electronic resource] /] / Richard O. Michaud and Robert O. Michaud |
| Autore | Michaud Richard O. <1941-> |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | New York, : Oxford University Press, 2008 |
| Descrizione fisica | 1 online resource (145 p.) |
| Disciplina | 332.6 |
| Altri autori (Persone) | MichaudRobert O |
| Collana | Financial management association survey and synthesis series |
| Soggetto topico |
Investment analysis - Mathematical models
Portfolio management - Mathematical models |
| ISBN |
0-19-770283-X
0-19-988719-5 1-281-16231-0 9786611162313 0-19-971579-3 1-4356-3890-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
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 FrontierTM; 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 |
| Record Nr. | UNINA-9910778237603321 |
|
Michaud Richard O. <1941->
|
||
| New York, : Oxford University Press, 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Equity valuation [[electronic resource] ] : models from leading investment banks / / edited by Jan Viebig, Thorsten Poddig and Armin Varmaz
| Equity valuation [[electronic resource] ] : models from leading investment banks / / edited by Jan Viebig, Thorsten Poddig and Armin Varmaz |
| Autore | Viebig Jan |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Chichester, England ; ; Hoboken, NJ, : John Wiley & Sons, c2008 |
| Descrizione fisica | 1 online resource (439 p.) |
| Disciplina | 332.63221 |
| Altri autori (Persone) |
ViebigJan <1969->
VarmazArmin PoddigThorsten |
| Collana | Wiley finance series |
| Soggetto topico |
Stocks - Mathematical models
Portfolio management - Mathematical models Valuation - Mathematical models Investment analysis - Mathematical models |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-119-20875-0
1-282-34963-5 9786612349638 0-470-75880-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Equity Valuation; Contents; Foreword; Preface; Acknowledgments; Abbreviations; Part I Discounted Cash Flow (DCF) Models; Part II Monte Carlo Free Cash Flow to the Firm (MC-FCFF) Models (Deutsche Bank/DWS); Part III Beyond Earnings: A User's Guide to Excess Return Models and the HOLT CFROI® Framework; Part IV Morgan Stanley ModelWare's Approach to Intrinsic Value: Focusing on Risk-Reward Trade-offs; Part V UBS VCAM and EGQ Regression-based Valuation; Part VI Leverage Buyout (LBO) Models; Part VII Valuation 101: Approaches and Alternatives; Part VIII Final Thoughts on Valuation; Index |
| Record Nr. | UNINA-9910146110403321 |
|
Viebig Jan
|
||
| Chichester, England ; ; Hoboken, NJ, : John Wiley & Sons, c2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Equity valuation [[electronic resource] ] : models from leading investment banks / / edited by Jan Viebig, Thorsten Poddig and Armin Varmaz
| Equity valuation [[electronic resource] ] : models from leading investment banks / / edited by Jan Viebig, Thorsten Poddig and Armin Varmaz |
| Autore | Viebig Jan |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Chichester, England ; ; Hoboken, NJ, : John Wiley & Sons, c2008 |
| Descrizione fisica | 1 online resource (439 p.) |
| Disciplina | 332.63221 |
| Altri autori (Persone) |
ViebigJan <1969->
VarmazArmin PoddigThorsten |
| Collana | Wiley finance series |
| Soggetto topico |
Stocks - Mathematical models
Portfolio management - Mathematical models Valuation - Mathematical models Investment analysis - Mathematical models |
| ISBN |
1-119-20875-0
1-282-34963-5 9786612349638 0-470-75880-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Equity Valuation; Contents; Foreword; Preface; Acknowledgments; Abbreviations; Part I Discounted Cash Flow (DCF) Models; Part II Monte Carlo Free Cash Flow to the Firm (MC-FCFF) Models (Deutsche Bank/DWS); Part III Beyond Earnings: A User's Guide to Excess Return Models and the HOLT CFROI® Framework; Part IV Morgan Stanley ModelWare's Approach to Intrinsic Value: Focusing on Risk-Reward Trade-offs; Part V UBS VCAM and EGQ Regression-based Valuation; Part VI Leverage Buyout (LBO) Models; Part VII Valuation 101: Approaches and Alternatives; Part VIII Final Thoughts on Valuation; Index |
| Record Nr. | UNINA-9910830537203321 |
|
Viebig Jan
|
||
| Chichester, England ; ; Hoboken, NJ, : John Wiley & Sons, c2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
