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 prerequisite is optimization with matrix algebra.
Preface.
Acknowledgments.
Notation.
List of Models.
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. International Asset Allocation.
11. Corporate Bond Portfolios.
12. Insurance Policies with Guarantees.
13. Personal Financial Planning.
IV. Library of Financial Optimization Models.
14. FINLIB: A Library of Financial Optimization Models.
Bibliography.
Index
