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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Фільтри

2021 - 20223

Налаштування

Автор: search.filters.author.Lyashenko, VyacheslavORCID: search.filters.orcid.https://orcid.org/0000-0003-4707-7964

Результати пошуку

Зараз показуємо 1 - 3 з 3
  • Ескіз
    Публікація
    Mutual Dynamics of Certain Types of Bitcoin: Data from Wavelet Coherence
    (International Association of Educators, Scientist, Technologist, and Engineers (IA-ESTE), Indonesia, 2021) Lyashenko, Vyacheslav; Bilotserkivskyi, Oleksandr; Pyvavar, Iryna; Kots, Hryhorii
    Unconventional methods of analysis are a good tool for studying new trends and phenomena. One of these objects of research is the cryptocurrency market. The paper shows the possibility and feasibility of applying the ideology of wavelets to analyze the dynamics of prices for cryptocurrencies. For this, the methodology of wavelet coherence is used. This methodology has been applied to various cryptocurrency pairs. The calculation results for real data are presented. It is shown that the results obtained agree with the theoretical conclusions and research results of other authors.
  • Ескіз
    Публікація
    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.
  • Ескіз
    Публікація
    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.