Description

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.

Metaheuristics for Portfolio Optimization: An Introduction using MATLAB

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£138.95

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Hardback by G. A. Vijayalakshmi Pai

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The book is a monograph in the cross disciplinary area of Computational Intelligence in Finance and elucidates a collection of... Read more

    Publisher: ISTE Ltd and John Wiley & Sons Inc
    Publication Date: 09/01/2018
    ISBN13: 9781786302816, 978-1786302816
    ISBN10: 1786302810

    Number of Pages: 320

    Non Fiction , Computing

    Description

    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.

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