Metaheuristics for Portfolio Optimization: An Introduction using MATLAB
January 2018, Wiley-ISTE
The book is a monograph in the cross disciplinary area of Computational Intelligence in Finance and elucidates a collection of practical and strategic Portfolio Optimization models in Finance, that employ Metaheuristics for their effective solutions and demonstrates the results using MATLAB implementations, over live portfolios invested across global stock universes. The book has been structured in such a way that, even novices in finance or metaheuristics should be able to comprehend and work on the hybrid models discussed in the book.
2. Heuristic Portfolio Selection.
3. Risk Budgeted Portfolio Optimization.
4. Heuristic Optimization of Equity Market Neutral Portfolios.
5. Metaheuristic 130-30 Portfolio Construction.
6. Metaheuristic Portfolio Rebalancing with Transaction Costs.