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MODELLING IN STRATEGIC INVESTMENT MANAGEMENT

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The article explores modern approaches to multicriteria modelling as a tool for strategic investment management. In the context of dynamic changes in market conditions and growing uncertainty, making effective investment decisions requires taking into account numerous criteria that characterize both financial and non-financial aspects of an enterprise. The authors emphasize the importance of a multicriteria approach for the formation of investment strategies aimed at ensuring long-term growth and competitiveness of companies. The article discusses the key principles of multicriteria modelling and methods of its application in the process of strategic investment management. In particular, the article analyses such methods as hierarchy analysis, linear programming methods, fuzzy logic, and integrated models that combine different approaches. Particular attention is paid to the use of financial indicators such as net present value (NPV) as one of the basic criteria for evaluating investment projects. NPV allows to determine the feasibility of a project, taking into account the time value of money and future cash flows, which makes it an indispensable element of investment analysis. The authors emphasize the importance of a comprehensive approach that combines NPV with other criteria such as ROI, payback period, internal rate of return (IRR), and risk. This approach takes into account the financial sustainability of the project, its impact on the environment, social impacts, and alignment with the strategic goals of the enterprise. The article also discusses the key challenges faced by enterprises when using multicriteria models, including the complexity of building mathematical models, the need for highly qualified personnel, and the limitations associated with access to up-to-date data. The author suggests ways to overcome these problems, including the introduction of modern software tools, automation of data processing and the use of artificial intelligence to improve the accuracy of modelling. The article is of theoretical and practical value for scientists, economists, investors, and managers involved in the development and implementation of investment strategies. It contributes to a better understanding of the possibilities of multicriteria modelling in strategic decision-making and emphasises the role of NPV in the comprehensive assessment of investment projects.
Title: MODELLING IN STRATEGIC INVESTMENT MANAGEMENT
Description:
The article explores modern approaches to multicriteria modelling as a tool for strategic investment management.
In the context of dynamic changes in market conditions and growing uncertainty, making effective investment decisions requires taking into account numerous criteria that characterize both financial and non-financial aspects of an enterprise.
The authors emphasize the importance of a multicriteria approach for the formation of investment strategies aimed at ensuring long-term growth and competitiveness of companies.
The article discusses the key principles of multicriteria modelling and methods of its application in the process of strategic investment management.
In particular, the article analyses such methods as hierarchy analysis, linear programming methods, fuzzy logic, and integrated models that combine different approaches.
Particular attention is paid to the use of financial indicators such as net present value (NPV) as one of the basic criteria for evaluating investment projects.
NPV allows to determine the feasibility of a project, taking into account the time value of money and future cash flows, which makes it an indispensable element of investment analysis.
The authors emphasize the importance of a comprehensive approach that combines NPV with other criteria such as ROI, payback period, internal rate of return (IRR), and risk.
This approach takes into account the financial sustainability of the project, its impact on the environment, social impacts, and alignment with the strategic goals of the enterprise.
The article also discusses the key challenges faced by enterprises when using multicriteria models, including the complexity of building mathematical models, the need for highly qualified personnel, and the limitations associated with access to up-to-date data.
The author suggests ways to overcome these problems, including the introduction of modern software tools, automation of data processing and the use of artificial intelligence to improve the accuracy of modelling.
The article is of theoretical and practical value for scientists, economists, investors, and managers involved in the development and implementation of investment strategies.
It contributes to a better understanding of the possibilities of multicriteria modelling in strategic decision-making and emphasises the role of NPV in the comprehensive assessment of investment projects.

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