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 - 20232

Налаштування

Автор: search.filters.author.Stepurina, SvitlanaКлючові слова: search.filters.subject.dynamics

Результати пошуку

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  • Ескіз
    Публікація
    On the Ratio of Futures Prices in the World Markets for Grain Commodities
    (2023) Bilotserkivskyi, Oleksandr; Stepurina, Svitlana; Lyashenko, Vyacheslav
    Grain products play an important role as a factor in stable economic development. These goods provide food security, security of life support and activities of people. At the same time, the market for grain products is subject to the influence of various destabilizing factors, which affects the price of such products. Generalization of prices for any goods is the price dynamics for the corresponding futures goods. Thus, in order to analyze changes in the market of grain products, it is advisable to study the dynamics of prices for futures for these products. This allows you to understand the dynamics of the formation of a parity price between supply and demand. Such dynamics is formed under the influence of market factors, the impact of destabilizing factors, the conditions for the development of the relevant market segment and the actions of investors. For the corresponding analysis, we use descriptive statistics, which allows us to analyze current trends, identify peaks in changing price dynamics. To conduct a comparative analysis of price dynamics for various grain products, we use the wavelet ideology. Such an ideology makes it possible to obtain wavelet coherence estimates. These estimates contribute to the study of the grain market, the consideration of various investment strategies. The paper presents various graphs and schemes that allow you to repeat experiments and evaluate the results.
  • Ескіз
    Публікація
    Wavelet Analysis Methodology as a Tool for Predicting Cryptocurrency Price Dynamics
    (2021) Lyashenko, Vyacheslav; Sergienko, Olena; Stepurina, Svitlana
    The stock market allows you to attract free investment resources, redistribute free financial resources between various spheres of the economy, business entities. For this, various tools and mechanisms for raising funds are used. Cryptocurrency is one of the tools of the modern stock market. The attractiveness of cryptocurrency, sharp and rapid changes in cryptocurrency prices necessitate various studies. At the same time, it is important to consider not only the dynamics of prices for cryptocurrencies, but also the mutual dynamics of prices between different types of cryptocurrencies. This is important in the aspect when choosing and building various forecasting models, assessing the mutual dynamics of cryptocurrency prices. To solve such a problem, it is necessary to carry out a complex and comprehensive analysis of the data. At the same time, it is important to obtain additional information that will be useful in the corresponding analysis. For this, it is proposed to use the wavelet ideology. We consider wavelet coherence as a data analysis tool. This choice is justified, and also the feasibility of its use on various datasets is confirmed. The paper deals with the mutual dynamics of prices for various types of cryptocurrencies. For this purpose, the corresponding estimates of the wavelet coherence are considered in the work. These estimates are based on real data. These estimates allow a number of conclusions to be drawn about cryptocurrency price prediction. In the work, information is presented in the form of various graphs and diagrams. This allows us to repeat and check the obtained estimates of the wavelet coherence, to evaluate the results that have been obtained.