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 mater… Show more
“…When determining the range of high-tech products for the export potential of the region, we proceed from the need to achieve the following development benchmarks in the regional economy in the short and medium term [19,20]:…”
Change in the structure of global commodity markets' demand for high-tech science-intensive digital technologies influence the existing structure of economies of raw material regions and form new requirements for the product portfolio of exports. One of the main trends of export regional potential is becoming the expansion of assortment due to high-tech products with a high share of added value in the economy of a region. However, the existing methodological approaches to the assessment of external demand of a region are not focused on achieving structural transformations of regional economy; the existing mechanisms of state support are mainly aimed at the interests of local businesses in the short-term period of development. The purpose of the article is to propose methods for the formation of export potential of regional economy on the basis of development of high-tech fields, new sectors and markets. A system-structure approach to research, which was developed by the authors, includes clarifying the concept of export potential, identifying the stages of its formation and development, determining the performance metrics of choosing marketable products to form a regional export potential, highlighting the direction of the development of the latter. Based on the comparative analysis of approaches to the assessment and development of a regional export potential, the authors formulated a basic premise to model its structure and level assessment: the requirement to distinguish between ways of revealing and assessing priority and long-range types of export products. A step-by-step methodology to form a regional export potential, which is aimed at selecting both priority types of existing export products and new types of promising high-tech products for the growth in regional exports on the global market, is proposed. As methods for selecting priority types of export products the authors used a structural dynamic analysis, a grouping method based on the XYZ-analysis and variation coefficients, a positioning method. To substantiate the choice of new types of promising products for the growth in regional exports on the global market, the following methods were used: intersection of sets, evaluation of the potential of global commodity markets and of a potential share of commodity position in regional exports, evaluation of comparative advantage of countries based on the Balassa index. Approbation of methods for forming a regional export potential is presented using the example of the Krasnoyarsk Territory.
“…When determining the range of high-tech products for the export potential of the region, we proceed from the need to achieve the following development benchmarks in the regional economy in the short and medium term [19,20]:…”
Change in the structure of global commodity markets' demand for high-tech science-intensive digital technologies influence the existing structure of economies of raw material regions and form new requirements for the product portfolio of exports. One of the main trends of export regional potential is becoming the expansion of assortment due to high-tech products with a high share of added value in the economy of a region. However, the existing methodological approaches to the assessment of external demand of a region are not focused on achieving structural transformations of regional economy; the existing mechanisms of state support are mainly aimed at the interests of local businesses in the short-term period of development. The purpose of the article is to propose methods for the formation of export potential of regional economy on the basis of development of high-tech fields, new sectors and markets. A system-structure approach to research, which was developed by the authors, includes clarifying the concept of export potential, identifying the stages of its formation and development, determining the performance metrics of choosing marketable products to form a regional export potential, highlighting the direction of the development of the latter. Based on the comparative analysis of approaches to the assessment and development of a regional export potential, the authors formulated a basic premise to model its structure and level assessment: the requirement to distinguish between ways of revealing and assessing priority and long-range types of export products. A step-by-step methodology to form a regional export potential, which is aimed at selecting both priority types of existing export products and new types of promising high-tech products for the growth in regional exports on the global market, is proposed. As methods for selecting priority types of export products the authors used a structural dynamic analysis, a grouping method based on the XYZ-analysis and variation coefficients, a positioning method. To substantiate the choice of new types of promising products for the growth in regional exports on the global market, the following methods were used: intersection of sets, evaluation of the potential of global commodity markets and of a potential share of commodity position in regional exports, evaluation of comparative advantage of countries based on the Balassa index. Approbation of methods for forming a regional export potential is presented using the example of the Krasnoyarsk Territory.
“…In [47], analytical experiments were performed for the company PJSC ROSSETI. The "Rosseti" experiments provided real data; the aim of investigation was the development of a system for the formation of spline forecasting in the last segment of the analysis using the Minimax approach.…”
In this article, the problem of modeling a time series using the Minimax method is considered. The expediency of using Minimax to identify points of change in trends and the range of changes in the graphical figures of technical analysis is justified. Spline approximation of the dynamic process with range constraints was performed to improve the quality of the model. Investors are advised to refrain from making hasty decisions in favor of holding reliable shares (such as PJSC Novatek shares), rather than selling them. The purchase of new shares should be carefully analyzed. Through an approximation of the dynamic number of the applicable optimization problem of minimizing the maximum Hausdorff distances between the ranges of the dynamic series and the values of the approximating function, the applied approach can provide reliable justification for signals to buy shares. Energy policy occupies the highest place in the list of progress ratings according to news analytics of businesses related to the energy sector of the economy. At the same time, statistical indicators and technologies of expert developments in this field, including intellectual analysis, can become an important basis for the development of a robotic knowledge program in the field under study, an organic addition to which is the authors’ methodology of development in energy economics as in energy policy. This paper examines the model of approximation of the multivalued time series of PJSC Novatek, represented as a series of ranges of numerical values of the indicators of financial markets, with constraints on the approximating function. The authors consider it advisable for promising companies to apply this approach for successful long-term investment.
“…In the real estate market, Gupta P, Mehlawat M K, and Inuiguchi M studied the optimal investment portfolio in the real estate market [8]. Borodin A, Tvaronaviien M, Vygodchikova I researched the structure of investment portfolio of high-tech companies [9]. Furthermore, Hashimoto H, Takayama T studied the investment analysis of the minerals and metals industry [10].…”
A good investment portfolio can make the investment get more returns, which requires investors to adopt appropriate methods to optimize the investment portfolio. A portfolio is not just a simple sum of assets, it requires the use of suitable models to analyze optimal asset allocation. This paper analyzes the asset allocation of firefighters, and uses three methods of mean variance analysis, CAPM model and FF3F model to optimize the pension investment ratio of firefighters. At the same time, this paper analyzes multiple stocks from four industries including retail, technology, manufacturing, and food, and strives to find the investment portfolio with the most potential pension. The results show that in CAPM, the largest weights of both maximum sharp ratio portfolio and the minimum portfolio belong to the possession of ‘NSRGY’, while in the FF3F model, the greatest weight of the maximum sharp ratio portfolio belongs to ‘TM’ possession and the greatest weight of the minimum variance portfolio belongs to ‘NSRGY’. This research could help retirees on the same pension type better allocate their pension assets and optimize their investment portfolios. At the same time, this paper also analyzes the investment performance of stocks in different industries under the same fixed proportion of pension.
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