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Control of an impartial balance between risks and returns has
become important for investors, and having a combination of
financial instruments within a portfolio is an advantage. Portfolio
management has thus become very important for reaching a resolution
in high-risk investment opportunities and addressing the
risk-reward tradeoff by maximizing returns and minimizing risks
within a given investment period for a variety of assets.
Metaheuristic Approaches to Portfolio Optimization is an essential
reference source that examines the proper selection of financial
instruments in a financial portfolio management scenario in terms
of metaheuristic approaches. It also explores common measures used
for the evaluation of risks/returns of portfolios in real-life
situations. Featuring research on topics such as closed-end funds,
asset allocation, and risk-return paradigm, this book is ideally
designed for investors, financial professionals, money managers,
accountants, students, professionals, and researchers.
Control of an impartial balance between risks and returns has
become important for investors, and having a combination of
financial instruments within a portfolio is an advantage. Portfolio
management has thus become very important for reaching a resolution
in high-risk investment opportunities and addressing the
risk-reward tradeoff by maximizing returns and minimizing risks
within a given investment period for a variety of assets.
Metaheuristic Approaches to Portfolio Optimization is an essential
reference source that examines the proper selection of financial
instruments in a financial portfolio management scenario in terms
of metaheuristic approaches. It also explores common measures used
for the evaluation of risks/returns of portfolios in real-life
situations. Featuring research on topics such as closed-end funds,
asset allocation, and risk-return paradigm, this book is ideally
designed for investors, financial professionals, money managers,
accountants, students, professionals, and researchers.
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