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

2022 - 20232

Налаштування

Автор: search.filters.author.Lyashenko, VyacheslavКлючові слова: search.filters.subject.model

Результати пошуку

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  • Ескіз
    Публікація
    Model for Predictive Analysis of International Trade Based on the Dynamics of Stock Indices (Example of Data from the USA, Canada and UK)
    (2022) Rudenko, Diana; Serhiienko, Olena; Zeleniy, Oleksandr; Lyashenko, Vyacheslav
    Forecasting is one of the tools for assessing the functioning and development of processes, phenomena, objects. This tool has found its application in all areas of research. Among these areas of research, one should single out the direction that is associated with the economy. This is important because such studies help to assess the level of economic development, the welfare of mankind, to find ways for the further functioning and development of various processes, phenomena, objects. To solve the tasks set, various models are used that help to implement a certain forecast scheme. At the same time, the construction of such models involves the implementation of the corresponding stages of modeling. Such modeling steps help determine the type of the final model and implement the required predictive model. Therefore, we pay special attention to the individual stages of predictive modeling. The efficiency of building a predictive model is also determined by the applied problem that needs to be solved in the modeling process. In this paper, we consider the elements of a predictive model for the analysis of international trade. To do this, we use data on the dynamics of stock indices. In particular, we use the dynamics of stock indices, which describe the activities of banking institutions. To build individual elements of the predictive model, we use the apparatus of wavelet theory. Among the tools of wavelet theory, we use wavelet coherence. We also propose an approach for comparing different estimates of wavelet coherence. This approach is based on comparing the corresponding wavelet coherence estimates and visualizing the results. This allows you to better understand the mutual dynamics of stock indices and evaluate the dynamics of international trade. The paper presents various graphs and diagrams that help to understand the logic of the study and the results obtained.
  • Ескіз
    Публікація
    Model of the Relationship Between ETFs of Individual European Countries: Austria, Belgium, Denmark, Croatia, Hungary
    (2023) Prokopovych, Svitlana; Sosnov, Ihor; Lyashenko, Vyacheslav
    The development of the economy is associated with the continuity of the investment process on an ongoing basis. Raising funds is possible through bank lending or through the securities market. We consider investments that are received in the stock market. For these purposes, as a rule, ETF funds are used. This allows you to diversify the source of borrowing and reduce risks. But at the same time, one should pay attention to the markets where such funds operate. Each regional market has its own specifics, factors that determine the characteristics of securities trading. You should also take into account the relationship between such structural units of the overall investment process. For the analysis, we use descriptive statistics that help to understand the current trends for investing in the market. We also use wavelet coherence, which is the basis for modeling relationships. This is necessary in order to assess the impact of different segments of the ETF market. The paper considers such countries as Austria, Belgium, Denmark, Croatia, Hungary. The results obtained allow: to evaluate investment decisions, choosing an effective strategy. Many figures and diagrams are presented in the work to understand the results.