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Planning resource allocation for husbandry management by portfolio optimization.

Todor Stoilov1, Krasimira Stoilova1, Stanislav Dimitrov1

  • 1Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Bulgaria.

Heliyon
|October 17, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a new approach to husbandry management by incorporating both standard deviation and value-at-risk for risk assessment. This dual-risk formalization enhances economic risk minimization in portfolio optimization for sustainable business practices.

Keywords:
Decision makingPortfolio optimizationResource allocationRisk management

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Area of Science:

  • Agricultural Economics
  • Financial Risk Management
  • Operations Research

Background:

  • Husbandry management traditionally relies on economic results for business metrics.
  • Sustainable management aims to minimize risk and maximize returns.
  • Existing risk quantification in portfolio problems often uses standard deviation of return.

Purpose of the Study:

  • To introduce a novel portfolio optimization method for husbandry management.
  • To simultaneously include standard deviation and value-at-risk (VaR) for risk formalization.
  • To analyze the impact of dual risk formalization on resource allocation and risk reduction.

Main Methods:

  • Definition of portfolio problems incorporating probability of losses (VaR) as a goal function or constraint.
  • Analysis of peculiarities and optimal solutions for these defined problems.
  • Numerical experiments using real animal husbandry data from Bulgarian National Statistics.

Main Results:

  • The inclusion of both standard deviation and VaR leads to additional portfolio risk decrease compared to classical methods.
  • Optimal solutions quantify resource allocation across different business activities.
  • Empirical data validates the benefits of applying both risk formalizations.

Conclusions:

  • The proposed dual-risk formalization offers enhanced risk reduction in husbandry management.
  • This approach provides a more comprehensive framework for sustainable agricultural business planning.
  • The findings support improved resource allocation strategies for minimizing economic losses.