Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12258/18058
Title: Optimization of the structure of the investment portfolio of high‐tech companies based on the minimax criterion
Authors: Panaedova, G. I.
Панаедова, Г. И.
Keywords: Software testing;Structural optimization;Computer aided design;Decision support systems;Financial markets;Investments;Risk assessment;Economics
Issue Date: 2021
Publisher: MDPI AG
Citation: Borodin A., Tvaronavičienė M., Vygodchikova I., Panaedova G., Kulikov, A. Optimization of the structure of the investment portfolio of high‐tech companies based on the minimax criterion // Energies. - 2021. - Том 14. - Выпуск 151. - Номер статьи 4647
Series/Report no.: Energies
Abstract: A model has been developed for the optimization of the share structure of an investment portfolio in high‐tech projects supported by the leaders of the leading industry companies in Russia. Several indicators (financial leverage, integrated rating of companies, industry rating) were applied in the decision support system for the shared distribution of investments. High‐tech production is based on innovative technologies for saving resources, the resiliency of systems for transporting and transferring raw materials and finished products within Russia, so the main income will remain within the country. It is possible to export high‐tech products, rather than raw materials, which will increase export revenues. Investors will invest in high‐tech projects of Russian companies, taking into account the targeting of investment development. The guarantee is the stable financial position of the companies and the competi-tiveness rating. Methods: The authors propose a new approach that does not contradict modern rating scales, based on a hierarchical rating procedure and fuzzy logical rules that allow you to build an integral rating in the form of portfolio shares from the whole. A higher share shows an indicator of the higher investment attractiveness of companies. The industry rating is obtained based on the principle of the company’s first affiliation to the highest rating indicator. The final minimax portfolio is based on the initial ratings in a circular convolution and is then adjusted by industry. A software package has been compiled that allows the testing of the method of capital allocation between investment projects for the largest companies’ leaders of high‐tech industries in Russia. This software uses the author’s method of multi‐stage analysis, the evaluation of financial coefficients, the integral ranking and the correction of the solution taking into account the industry attributes. Results: The results are presented with computer-aided design (CAD) in the form of an algorithmized decision support system (DSS). The CAD system is based on a hierarchical algorithm, based on the use of a multi‐level redistribution of investment shares of high‐tech companies, taking into account the adaptation to the requirements of the return on investment portfolio. When compiling the portfolio, the minimax optimality criterion is applied, which allows the stabilization of the risk by purposefully redistributing funds between the companies involved in the analysis. The authors of the article have compiled an algorithm for the software implementation of the model. Features of the rating approach: the use of the author’s mathematical apparatus, which includes a hierarchical analysis of the ranked indicators of the financial and economic activity of companies, taking into account their priority, and the use of a minimax approach to obtain a rating assessment of compa-nies, taking into account the industry attributes. Development: The proposed approach should be used for targeted financing of large industry companies engaged in the implementation of high‐tech projects
URI: http://hdl.handle.net/20.500.12258/18058
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