This book gives a comprehensive account of financial optimization models used to support decision-making for financial engineers. It starts with the classical static mean-variance analysis and portfolio immunization, moves on to scenario-based models, and builds towards multi-period dynamic portfolio optimization. As the story unfolds the relationships between classes of models are revealed. Once the foundations are laid with several building blocks, and the broad landscape of financial optimization is charted, the book moves on to analyze several real-world applications. In this way the…mehr
This book gives a comprehensive account of financial optimization models used to support decision-making for financial engineers. It starts with the classical static mean-variance analysis and portfolio immunization, moves on to scenario-based models, and builds towards multi-period dynamic portfolio optimization. As the story unfolds the relationships between classes of models are revealed. Once the foundations are laid with several building blocks, and the broad landscape of financial optimization is charted, the book moves on to analyze several real-world applications. In this way the reader acquires not only solid knowledge of the foundations of financial optimization, but also a taste for the large-scale models that can be grounded on these foundations. The math prerequisites are optimization with ODEs/matrix algebra.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Stavros Zenios is Professor of Business and Public Administration at the University of Cyprus, Director of the HERMES European Center of Excellence on Computational Finance and Economics, and Senior Fellow at the Wharton Financial Institutions Center of the University of Pennsylvania. His previous books include Financial Optimization (1996); Parellel Optimization: Theory Algorithms, and Applications (1997); and Performance of Financial Institutions: Efficiency, Innovation, Regulation (2000).
Inhaltsangabe
Foreword. Preface. Acknowledgements. List of Models. Notation. I. Introduction. 1. An Optimization View of Financial Engineering. 2. Basics of Risk Management. II. Portfolio Optimization Models. 3. Mean-Variance Analysis. 4. Portfolio Models for Fixed Income. 5. Scenario Optimization. 6. Dynamic Portfolio Optimization with Stochastic Programming. 7. Index Funds. 8. Designing Financial Products. 9. Scenario Generation. III. Applications. 10. Application I: International Asset Allocation. 11. Application II: Corporate Bond Portfolios. 12. Application III: Insurance Policies with Guarantees. 13. Application IV: Personal Financial Planning. IV. Library of Financial Optimization Models. 14. FINLIB: A Library of Financial Optimization Models A. Basics of Optimization. B. Basics of Probability Theory. C. Stochastic Processes. Bibliography. Index.
Foreword. Preface. Acknowledgements. List of Models. Notation. I. Introduction. 1. An Optimization View of Financial Engineering. 2. Basics of Risk Management. II. Portfolio Optimization Models. 3. Mean-Variance Analysis. 4. Portfolio Models for Fixed Income. 5. Scenario Optimization. 6. Dynamic Portfolio Optimization with Stochastic Programming. 7. Index Funds. 8. Designing Financial Products. 9. Scenario Generation. III. Applications. 10. Application I: International Asset Allocation. 11. Application II: Corporate Bond Portfolios. 12. Application III: Insurance Policies with Guarantees. 13. Application IV: Personal Financial Planning. IV. Library of Financial Optimization Models. 14. FINLIB: A Library of Financial Optimization Models A. Basics of Optimization. B. Basics of Probability Theory. C. Stochastic Processes. Bibliography. Index.
Es gelten unsere Allgemeinen Geschäftsbedingungen: www.buecher.de/agb
Impressum
www.buecher.de ist ein Internetauftritt der buecher.de internetstores GmbH
Geschäftsführung: Monica Sawhney | Roland Kölbl | Günter Hilger
Sitz der Gesellschaft: Batheyer Straße 115 - 117, 58099 Hagen
Postanschrift: Bürgermeister-Wegele-Str. 12, 86167 Augsburg
Amtsgericht Hagen HRB 13257
Steuernummer: 321/5800/1497
USt-IdNr: DE450055826