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    3. Applying Particle Swarm Optimization: New Solutions and Cases for Optimized Portfolios

    Applying Particle Swarm Optimization: New Solutions and Cases for Optimized Portfolios

    Posted By: hill0
    Date: 16 May 2021 20:03:51
    Applying Particle Swarm Optimization: New Solutions and Cases for Optimized Portfolios

    Applying Particle Swarm Optimization: New Solutions and Cases for Optimized Portfolios
    English | 2021 | ISBN: 3030702804 | 355 Pages | PDF | 9 MB

    This book explains the theoretical structure of particle swarm optimization (PSO) and focuses on the application of PSO to portfolio optimization problems. The general goal of portfolio optimization is to find a solution that provides the highest expected return at each level of portfolio risk. According to H. Markowitz’s portfolio selection theory, as new assets are added to an investment portfolio, the total risk of the portfolio’s decreases depending on the correlations of asset returns, while the expected return on the portfolio represents the weighted average of the expected returns for each asset.

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