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Optimizing Investment Portfolios with Bacterial Foraging and Robust Risk Management
by
Zarzycki, Hubert
in
Algorithms
/ Bacteria
/ bacterial foraging optimization (BFO)
/ Business metrics
/ Collaboration
/ constraints
/ dynamic markets
/ Financial markets
/ Foraging behavior
/ Investment analysis
/ Investment policy
/ investment strategies
/ Investment strategy
/ Methods
/ Optimization
/ Optimization techniques
/ Portfolio management
/ portfolio optimization
/ Portfolio performance
/ Risk management
/ Social investing
/ Strategic planning (Business)
/ swarm intelligence
2025
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Optimizing Investment Portfolios with Bacterial Foraging and Robust Risk Management
by
Zarzycki, Hubert
in
Algorithms
/ Bacteria
/ bacterial foraging optimization (BFO)
/ Business metrics
/ Collaboration
/ constraints
/ dynamic markets
/ Financial markets
/ Foraging behavior
/ Investment analysis
/ Investment policy
/ investment strategies
/ Investment strategy
/ Methods
/ Optimization
/ Optimization techniques
/ Portfolio management
/ portfolio optimization
/ Portfolio performance
/ Risk management
/ Social investing
/ Strategic planning (Business)
/ swarm intelligence
2025
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Do you wish to request the book?
Optimizing Investment Portfolios with Bacterial Foraging and Robust Risk Management
by
Zarzycki, Hubert
in
Algorithms
/ Bacteria
/ bacterial foraging optimization (BFO)
/ Business metrics
/ Collaboration
/ constraints
/ dynamic markets
/ Financial markets
/ Foraging behavior
/ Investment analysis
/ Investment policy
/ investment strategies
/ Investment strategy
/ Methods
/ Optimization
/ Optimization techniques
/ Portfolio management
/ portfolio optimization
/ Portfolio performance
/ Risk management
/ Social investing
/ Strategic planning (Business)
/ swarm intelligence
2025
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Optimizing Investment Portfolios with Bacterial Foraging and Robust Risk Management
Journal Article
Optimizing Investment Portfolios with Bacterial Foraging and Robust Risk Management
2025
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Overview
This study introduces a novel portfolio optimization approach that combines Bacterial Foraging Optimization (BFO) with risk management techniques and Sharpe ratio analysis. BFO, a nature-inspired algorithm, is employed to construct diversified portfolios, while risk management strategies, including stop-loss limits and transaction cost considerations, enhance risk control. The Sharpe ratio is used to evaluate the efficiency of the investment strategy by accounting for risk-adjusted returns. The experiments demonstrate that this approach effectively balances risk and return, making it a valuable tool for portfolio management in dynamic financial markets.
Publisher
MDPI AG
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