Issue #1 (Volume 17 2019)

Non-state pension funds play an important role in the development of the economy. The development of the system of non-state pension provision, which includes non-state pension funds, complies with the main aspects of the Ukraine – 2020 Sustainable Development Strategy. The importance of selecting investment areas for non-state pension funds results in the need to further explore and find ways to improve the investment process. The purpose of the article is to develop theoretical and methodological aspects of investing assets of non-state pension funds in bonds. The study object is the investment activity of non-state pension funds. The following methods are used: vertical and horizontal analysis, SWOT analysis, regression analysis, graphical and tabular methods. It is determined that effective investment of non-state pension funds’ assets provides an increase in the value of assets, which in turn enables participants of non-state pension funds to enhance the quality of life. Involving non-state pension funds in the stock market and their interaction with other entities in this market are illustrated by the investment in bonds example. The market of bonds in Ukraine for 2013-2017 has been analyzed and the tendency towards development has been determined. The possibilities and threats of investment of non-state pension funds’ assets in bonds are substantiated. The approach to determining the impact of factors on the government bond yields, in particular, bonds of domestic state loans and bonds of enterprises has been further developed. This approach, unlike the existing ones, provides for the use of regression analysis and takes into account changes in the environment according to factors (consumer price index and household income for government bonds, the number of enterprises and the discount rate of the National Bank of Ukraine for bonds of enterprises). That is of practical importance and will make it possible to improve the investment strategy of non-state pension fund assets in bonds.

The current situation at Ukrainian enterprises is characterized by fail to meet the requirements of socially responsible nature, which is one of the economic crisis factors (lack of trust between employer and employees, transparency in conducting business processes and low level of responsibility resulted in economic disequilibrium). Therefore, a company must apply the social responsibility principles in strategic planning. The success of any enterprise depends largely on the quality and quantity of human resources. A significant competitive advantage that the company has over its competitors is the quality of talented and qualified professionals, which the company was able to attract to work. In order for recruitment to be more effective, it is necessary to apply methods of evaluating candidates that will allow to give a comprehensive conclusion about the quality and compliance with the requirements for an employee in a particular position. The issue of hiring highly qualified personnel is more relevant than ever before in Ukraine, especially in the conditions of developing social responsibility of business. The article deals with the social responsibility of enterprises, the features of socially responsible hiring of personnel and the expediency of its practical use. The main elements of socially responsible recruitment of personnel are analyzed, social responsibility directions are developed in personnel management, and elements for developing the strategy for socially responsible hiring are proposed.

Until recently, the statistical approach was the main technique in solving the prediction problem. In the framework of static models, the tasks of forecasting, the identification of hidden periodicity in data, analysis of dependencies, risk assessment in decision making, and others are solved. The general disadvantage of statistical models is the complexity of choosing the type of the model and selecting its parameters. Computing intelligence methods, among which artificial neural networks should be considered at first, can serve as alternative to statistical methods. The ability of the neural network to comprehensively process information follows from their ability to generalize and isolate hidden dependencies between input and output data. Significant advantage of neural networks is that they are capable of learning and generalizing the accumulated knowledge. The article proposes a method of neural networks training in solving the problem of prediction of the time series. Most of the predictive tasks of the time series are characterized by high levels of nonlinearity and non-stationary, noisiness, irregular trends, jumps, abnormal emissions. In these conditions, rigid statistical assumptions about the properties of the time series often limit the possibilities of classical forecasting methods. The alternative methods to statistical methods can be the methods of computational intelligence, which include artificial neural networks. The simulation results confirmed that the proposed method of training the neural network can significantly improve the prediction accuracy of the time series.

The paper proposes an approach to optimizing the functional structure of the business processes of a service IT company based on the business process management system as an active self-organized, viable system that takes into account the peculiarities of the information technology industry development. This allows to optimize the structure of business processes through adequate positioning and formal description of the whole set of complex hierarchical interconnections with the aim of transition from hierarchical to functional structure of enterprise’s business processes taking into consideration the relationships between elements. The designed business process management system is considered as a set of strategic, tactical and operational business processes that are interrelated within a single strategic goal. The graph of the functional tasks of the investigated service IT company is formed, which reflects the incidence and closeness of the links between business processes. The model of optimization of the functional structure of business processes is proposed based on the algorithm, which involves minimizing the total connections of the subsets of the vertices of the functional graph, with the help of which the optimal restructured system of business processes was constructed, which increases the efficiency of management of the investigated service IT company. The advantages and disadvantages of the restructured functional structure of the service IT company’s business processes were analyzed. It is determined that the restructuring of the business process system will be effective only with changes in the enterprise processes management based on appropriate management strategies.

Ukraine is a social and legal state and seeks to become part of the European community. Therefore, the tax system needs to be reorganized regarding the level of financing of public goods, which will ensure the formation of financial resources sufficient for the fulfillment of the assigned functions of the state and guaranteeing citizens a sufficient standard of living. All this requires harmonization of the legal norms of Ukraine in accordance with the requirements of the European Union. Formation of tax policy in post-socialist countries has features related to the restructuring of the socio-economic system and redistributive mechanisms in the context of the formation and establishment of market relations. The aim of the work is to generalize theoretical approaches and develop practical recommendations for management of tax system according to European standards. The object of the study is the process of managing the tax system in Ukraine. The subject of the study is theoretical, methodological and practical principles aimed at managing the tax system of European standards. To solve the problems set in the work, such general scientific methods and research methods were used as analysis, economic-statistical method, synthesis, graphical and tabular method, historical methods of induction and deduction, method of theoretical generalization, system method. The conceptual approaches to the development of the tax system are proposed. The determinants of tax policy formation are determined. There are four main time stages of development of interstate cooperation in the tax area, which correspond to the waves of globalization of the world economy.

The system of financial monitoring establishes specifically designated entities on the real estate market. The assessment of a client’s risk of money laundering when entering into agreements in this market is a complex task and requires the development of new tools for implementing the risk-oriented approach, which is a priority in accordance with international standards in the financial monitoring system. The purpose of the study is to develop a risk-oriented approach to assessing the client and to develop practical recommendations for determining its level of risk in financial monitoring in the real estate market. To achieve a specific goal, a system of general scientific and special research methods, expert rankings and optimization modeling are used. On the basis of Methodical materials on financial monitoring issues for business entities, which provide services in the course of real estate purchase and sale operations, the points of client’s correspondence to high risk, which corresponds to the concept of developing a risk-oriented approach based on the main criteria of client risk assessment: geographic location of the state, client type and business relations. Taking into account the complexity of such assessment and the necessity of operative decision-making, a risk assessment rating (cost) scale has been developed for an integrated automated determination of a client’s risk level and an assessment of high-risk clients in the Decision Making Helper decision-making support system software on specific examples of legislation violations concerning the financial monitoring on the real estate market. The feasibility of implementing a new risk-oriented approach to assessing high-risk clients has been proved by automating the process of determining its level to reduce the time to decide on prevention and counteraction to the legalization of incomes and money laundering.