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1. Introduction
2. Mean-variance analysis and modern portfolio
theory
3. Transaction and trading costs
4. Applying the portfolio selection framework in
practice
5. Incorporating higher moments and extreme risk
measures
6. Mathematical and numerical optimization
7. Equity price models
8. Forecasting expected return and risk
9. Robust frameworks for estimation and
portfolio allocation
10. Feedback and predictors in stock markets
11. Individual price processes : univariate
models
12. Multivariate models
13. Model selection and its pitfalls
14. Estimation of regression models
15. Estimation of linear dynamic models
16. Estimation of hidden variable models
17. Model risk and its mitigation
App. A. Difference equations
App. B. Correlations, regressions, and copulas |