Кафедра "Підприємництво, торгівля і логістика"

Постійне посилання колекціїhttps://repository.kpi.kharkov.ua/handle/KhPI-Press/32369

Офіційний сайт кафедри http://web.kpi.kharkov.ua/business

Від 2021 року кафедра перейменована та має назву "Підприємництво, торгівля i логістика" (Наказ 552 ОД від 26.11.2021 року), попередня назва – "Підприємництво, торгівля та експертиза товарів", первісна – кафедра комерційної, торговельної та підприємницької діяльності.

Кафедра комерційної, торговельної та підприємницької діяльності заснована в 2017 році.

Кафедра входить до складу Навчально-наукового інституту економіки, менеджменту і міжнародного бізнесу Національного технічного університету "Харківський політехнічний інститут". Викладачі кафедри є членами Харківського осередку Українського товариства товарознавців і технологів (УТТТ), що входить до Міжнародній асоціації товарознавства, інновацій та сталого розвитку (International Association of Commodity Science, Innovation and Sustainability) IACSIS.

У складі науково-педагогічного колективу кафедри працюють: 3 доктора наук: 2 – економічних, 1 – технічних; 7 кандидатів наук: 4 –економічних, 3 – технічних; 3 співробітника мають звання професора, 6 – доцента.

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Investigation of modern investment opportunities with cryptocurrency market: optimization
(2024) Chernova, Natalia; Serhiienko, Olena; Bril, Mykhailo; Bilotserkivskyi, Oleksandr; Kochorba, Valeriia
The research aim is to study effects of cryptocurrencies inclusion into an in vestment portfolio. To achieve the aim, portfolios with different composition of traditional and crypto assets are to be formed and compared. Methodology. It is proposed to conduct the following steps of the appropriate algorithm of investigating modern opportunities with cryptocurrency market: 1) preliminary analysis of the relationships and interdependencies between traditional assets and crypto assets; 2) formation of the initial set of crypto assets that can be potentially included into portfolio; 3) efficient frontier assessment for portfolios with different initial composition of assets; 4) comparative assessment and result analysis. Findings. The algorithm was implemented for the initial set of five most common traditional assets and ten cryptocurrencies. The latter constituents list was formed according to the value of market capitalization. Than the initial set of crypto assets was reduced according to their multidimensional distances from traditional assets. The results obtained allow to conclude that there are opportunities of portfolio efficiency increase via crypto assets inclusion in its structure. The increase value varies noticeably and depends on the particular kind of crypto assets, their total share and number. Originality. This research suggests to conduct additional preliminary procedures to choose potential candidates to be included into the traditional portfolio among initial set of crypto assets. Firstly, market capitalization value and low correlations with traditional portfolio constituents are taken into account. Secondly, all assets are presented as points in two-dimensional risk-return space and crypto assets are chosen according to the multidi mensional distance measure value.
Analysis of the dynamics of Europe stock markets development
(Fintechalliance LLC, 2023) Serhiienko, Olena; Bril, Mykhailo; Baranova, Valeria; Tatar, Maryna; Bilotserkivskyi, Oleksandr
The article proposes a complex of economic and mathematical models of assessment, analysis, and forecasting of the world stock indices development state for effective management of investment flows. The modern concept and strategy of European countries’ stock market development were considered, and the existing methods of diagnosing the stock market development level were analyzed. ARIMA models were built and spectral analysis of the main world indices was carried out. The possible trends in the stock indices development for the future period were analyzed using predictive models. It makes it possible to determine directions for improving the stock market efficiency and investment strategies in modern conditions.The proposed set of models for evaluation, analysis, and forecasting of the world stock indices state can be used to test various trading strategies and to test various hypotheses in relation to the entire stock portfolio of a particular company or to one stock index. The results of the research can be used in the development of theoretical provisions and methodological tools for evaluating the global stock market effectiveness in modern conditions and development trends in local markets.
Applied aspects of proactive modeling of innovative-investment processes of complex hierarchical systems: enterprise–region–state
(Ljubljana School of Business, Slovenia, 2020) Sergienko, Olena; Tatar, Maryna; Bilotserkivskyi, Oleksandr; Baranova, Valeria
The paper proposed a proactive mechanism of innovative activity management of complex hierarchical systems (CHS), consisting of successive stages of assessment, analysis, planning, forecasting and innivative activities regulation at the levels of an enterprise - a region – the state. Specific tasks of the proposed mechanism require model support, in connection with which the author has developed a set of models for the proactive innovation management SYSTEM. The valuation models and analysis of the innovation capacity and innovation outcomes of socio-economic system of a region (SESR), which allow, in contrast to the existing models, to compare the results of innovation activities and innovation potential and to make a conclusion about the effectiveness of the existing potentia use are built. The model of evaluation of innovative projects of business-industrial structures (BIS) efficiency based on the use of fuzzy set theory and methods of multicriteria problems solution, which allow to consider the risks arising at each stage of the innovation life cycle. The set of models of economic evaluation of SESR innovative activities based on panel data, which allows to estimate the resource use efficiency in the implementation of innovative activities and to predict the consequences of managerial decisions on stimulation of innovative activities is proposed. The simulation model scenarios of stimulation of SESR innovative activity, which allowed the simulation of scenarios to stimulate and assess their performance in order to select the best scenario of innovation regional systems according to the criteria of profit maximization, maximizing the number of innovative-active BIS and maximize the gains integrated assessment of SESR innovative activity results are designed. The simulation results allowed to determine the best scenario for promoting regional systems and the state as a whole.
Diagnosis of Raider Capture to Ensure Business Entities Economic Security in the Conditions of Modern Challenges
(University of national and world economy, Sofia, Bulgaria, 2020) Sergienko, Olena; Tatar, Maryna; Bilotserkivskyi, Oleksandr; Stepurina, Svitlana
The analysis of economic entities interaction for counteraction to raiding is carried out, stages of raiding development in Ukraine and their characteristics are determine, resonant raider attacks in Ukraine during various global challenges and imbalances are analyzed. The aggregation of factors and parameters of threats to economic entities security in relation to raiding counteraction is carried out. The approaches and estimation methods of factors and parameters of raider capture threats are analyzed. The influence of threat parameters on the enterprises raider capture risk is assessed and the influence of parameters which characterize the raiding threats on the q-Tobin index, which characterizes the investment attractiveness, is determined.
Assessment Relationship Between Components of the World's Leading Stock Indices in Reflection on the World Financial Market Dynamics
(2021) Lyashenko, Vyacheslav; Sergienko, Olena A.; Bilotserkivskyi, Oleksandr
The development of the global economy presupposes the stable functioning of all its constituent parts, institutions, and markets. Among such markets of the global economy, a special place is occupied by the financial market, which is able to redistribute financial resources. However, such redistribution must be protected from various risks, unfavorable development of negative situations. To solve such problems, the concept of stock indices is used, which reflects the dynamics of price changes for different groups of securities. Knowing the dynamics of the values of stock indices, one can analyze and predict the development of the financial market as a whole. It is also necessary to take into account the relationship of stock indices and the relationship between the components of various stock indices. Based on this, the paper examines a qualitative assessment of the relationship between the components of the world's leading stock indices in reflecting the dynamics of the world financial market. It is proposed to consider such a qualitative estimate taking into account the wavelet coherence. To this end, the paper proposes a general approach to considering a qualitative assessment of the relationship between the components of the world's leading stock indices. The paper considers real data in the context of various world stock indices, presents research results, and draws general conclusions.
Multi-scale model elaboration for creditworthiness diagnostics of export production enterprises of the agricultural trade market
(Scientific Route, Estonia, 2019) Sergienko, Olena; Shapran, Olena; Bilotserkivskyi, Oleksandr; Alieksieieva, Iryna
The methodology for the agrarian enterprises’ creditworthiness diagnostic has been developed and implemented, and has allowed to solve the following objectives: conducting of observations and evaluating of financially-economic indicators, classification of enterprises by the level of creditworthiness, distinction and identification enterprises according to the level of creditworthiness and assessing the differences between classes by creditworthiness, with taking into account the sizes of enterprises. Based on the use of the complex of multidimensional analytical methods, the differences are defined under either one-dimensional evaluation system (by creditworthiness and size) or a two-level assessment of the joint cross impact of factors on creditworthiness. The proposed four-step technology for diagnosing of the agrarian enterprises creditworthiness substantially expands the components of the creditworthiness level evaluation of enterprises and, as a consequence, improves the timeliness of decision-making process about identifying and locating of weaknesses and “bottlenecks”. The coverage of a sufficient number of financial and economic indicators and the implementation of a wide range of methods and models enable to fully evaluate and analyze the existing state of creditworthiness with a view to improve and establish the effective functioning of the enterprise as a whole.
Сointegration evaluation tools for enterprises strategic development system upgrading
(Університет банківської справи, 2020) Sergienko, O.; Shapran, O.; Tatar, M.; Bilotserkivskyi, Oleksandr ; Druhova, O.
The paper proposes tools for improving the strategic management system for assessing the processes dynamics and the level of their intensity and non-stationarity by local resource components of industrial enterprise as indicators of organizational and economic development and forecasting its change, as well as determining the structure of the strategic management system of enterprise development with emphasis on its resource communication component that will improve the efficiency of information exchange in the management process in the current context of increased importance of information resources as important elements that provide business entities competitive advantages. In this paper, the complex of models of research of development dynamics of enterprise activity spheres is built, which unlike the existing ones takes into account the non-stationary character of the behavior of these processes. This complex is based on the methods of multidimensional analysis, econometric modeling, decision-making. This complex contains the following steps: formation of the information sets of the company’s indicators in the main activity spheres; research of development dynamics of enterprise activity spheres on the basis of building of local and complex integral indicator of enterprise development level; simulation of non-stationarity dynamics of activity spheres on the bases of building and analysis of ECM&VAR-models — cointegration and vector autoregressive models; simulation of the enterprise development priorities on the bases of ECM&VAR-models analysis. For improvement of the strategic development management system, a conceptual scheme of the interconnection of processes, tasks, and models was developed, which provides the solution of the following main tasks: factor study of development trends, study of the internal environment and potential for key business factors and its development dynamics and implementation of adequate management decisions for increasing systems activity effectiveness as a whole.