On the cusp of the 20 th and 21 st centuries it is extraordinary difficult to provide the stability of national economies due to globalisation effects. In fact, globalisation causes major interdependence between economies of different countries, therefore, their economic relations influence the world economic climate.Countries develop strong business ties with their counterparts; national economies are integrated due to such factors as division of labour, internationalisation of monetary funds, scientific and technological progress, increasing degree of national economies openness and free trade. As a result, economies of different countries integrate into the worldwide reproduction process. International economic integration indicates a high development level of global economy.However, since single countries become exposed and highly susceptible to changes in economies of other states, the external environment is implied to present a significant uncertainty for commercial operations in single countries. Hence, in order to provide a stable functioning of both individual businesses and national economies it is necessary to analyse macro-and microeconomic parameters carefully, identify consistent patterns and make relevant predictions aimed at preventive management. The present article will discuss these challenges.
The article views main approaches to economic risks management. The article offers the algorithm of active management of aggregate economic risk, based on the use of complex of formalized and non-formalized calculation and analytical methods of reduction of uncertainty during decision making and aimed at reduction of probability of negative result of business risk situations by means of reasoned actions for timely adaptation to changing economic conditions. In the conducted research, the authors analyzed positive aspects and difficulties of practical use of the above methods under the conditions of modern stage of development of Russian agrarian business. The results of this analysis were the basis for formation and development of methodological provision of calculation and analytical components of active management of economic risks.
The paper is devoted to a critical analysis of the current state and development prospects of the transport infrastructure of the Russian Federation in the context of transport and logistics services. The share of through haulage in the total volume of export-import transactions has been estimated. At the same time, the right choice of methods of scientific research directly affects the success of solving the scientific problem, where the main feature of the modern economy is the transition from managing objects to managing flows. The main objective is to identify the problems of functioning of transport and transport infrastructure in the context of the largest "players" in the investment market of Russia, in the development of a competitive transport and logistics system of the state and its regions based on integration and innovative logistics technologies of the main participants in the supply chain operating in the Russian regions as well as corridors passing through the territory of Russia. These trends can be traced both in theoretical studies and in the practice of carrying out entrepreneurial activities. We use empirical methods of comparison, measurement, description, interpretation; theoretical methods of formal and dialectical logic. Working in difficult conditions, Russia should become a basic transport and logistics center. It needs to improve its logistics infrastructure and technologies for logistics organization, reducing costs within supply chains by optimizing customs clearance processes and eliminating legislative barriers. Conclusions: transport development should be developed not as a set of individual elements in the form of transport, transport infrastructure, and transport corridors, but as a single transport and logistics network.
The study substantiates the need to develop a model for determining a strategic targeted structure of financial resources in limited liability companies (LLCs) based on Monte Carlo extrapolation and stochastic modeling methods, applying the author's software that is used to establishing strategic indicators of absolute value for the company's own financial resources and a modified ratio financial independence, which is a distinctive feature of the risk-oriented predictions, determination of the optimal interval boundaries in accordance with the phases of the economic cycle. The figure and tables will serve as a basis for development of methodological tools for stress testing of the financial resource base of the LLC via creation of alternative scenarios at various stages of the business cycle, as well as the improvement of forecasting tools, business planning, risk-based regulation of financial resources in the management system, that will provide in perspective sufficient financial stability for LLCs.
Any economic system, no matter what its internal configuration is or what kind of external impact it is exposed to, needs investment for rational development. The volume and structure of investment, as well as the efficiency of the way it is used, may influence the development of both the country as a whole and its specific regions in particular. The management of economic systems will not be thoroughgoing without the management of investment. Economic reproduction is characterized based on the rate of investment activity. Some discouraging figures posted in this context in the Russian Federation (RF), namely 8.4%, which is the share of organizations engaged in technological, organizational, and marketing innovation (Rosstat, 2017), are a clear testimony to the topicalness of the issue in question. This paper presents an assessment of investment activity in Russia, as well as across its regions. The authors have developed a methodology for forecasting the investment-based development of regions based on the calculation of the share of investment in the gross regional product (GRP) and the use of an integral indicator which factors in the effect of various factors on investment activity in a region. A separate stage in these assessments is the calculation of an integral coefficient which reflects the impact of factors impeding investment activity. The study's primary purpose is to assess investment activity in Russia's regions and forecast the share of investment in the GRP of the RF constituent entities based on a multi-factor model.
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