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.
Application of Cost-Effective Acoustic Intelligence to Protect Critical Facilities from Drone Attacks
(Institute of Electrical and Electronics Engineers, 2022) Pohasii, Serhii; Baranova, Valeria; Bilotserkivskyi, Oleksandr; Haponenko, Olha; Serhiienko, Olena; Vorobiov, Bohdan
Unauthorized use of unmanned aerial vehicles (UA Vs) for surveillance of important objects, carrying out terrorist attacks and sabotage, throwing prohibited objects (weapons, drugs) has updated the search for cost-effective and technically feasible solutions to counter UA Vs. An analysis of materials on this topic showed that the effectiveness of defeating all types of UA Vs by existing means of air defense and electronic warfare is quite high. However, the problem of countering small UA Vs, based on the experience of the war in Ukraine, is not resolved. The purpose of the article is to analyze the UA V, as an object of detection and countermeasures, using acoustic means of airspace control with minimal economic costs. The article presents the results of the analysis of the UAVas an object of detection and the issuance of target designations by means of acoustic observation.
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.
Problem-Oriented Model in Technical Specialized Applications of Transport Systems Management
(2022) Sosnov, Ihor; Serhiienko, Olena; Shapran, Yevhen; Bilotserkivskyi, Oleksandr; Ippolitova, Inna
Dynamics of Changes in Commodity Indices for Commodities: Wheat, Corn, Soybeans, Sugar, Cocoa
(2022) Lyashenko, Vyacheslav; Serhiienko, Olena; Bilotserkivskyi, Oleksandr
Commodity indices determine the weighted price of various groups of goods. At the same time, the dynamics of such indices reflects the dynamics of prices for the corresponding goods. In turn, commodity indices are interconnected with the dynamics of indices, both the securities market and the general world market. An analysis of this relationship helps to understand the dynamics of the functioning and development of individual market segments, the economy as a whole, and various business entities. An important aspect of this analysis is the assessment of relationships, primarily between groups of goods that are placed on the commodity market. Based on this, the paper considers the main aspects of the analysis of the dynamics of commodity indices, presents graphs of commodity indices for individual groups of goods, and considers the main statistical characteristics of such data. To assess the mutual analysis of the dynamics of changes in commodity indices, the wavelet coherence methodology was used. This methodology makes it possible to evaluate the mutual dynamics of commodity indices over different time horizons. We can better understand the dynamics of the relevant relationship, which is important for making investment decisions. Such assessments are also important for making decisions about interaction in different segments of the world market or the stock market. Some results of assessments of such a methodology are presented. The paper presents a lot of factual material, which helps to understand the logic of the study.