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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20223

Налаштування

Автор: search.filters.author.Serhiienko, OlenaКлючові слова: search.filters.subject.wavelet coherence

Результати пошуку

Зараз показуємо 1 - 3 з 3
  • 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
    New Data from Wavelet Analysis on the Dynamics of Changes in the International Currency Market
    (2022) Lyashenko, Vyacheslav; Serhiienko, Olena; Bilotserkivskyi, Oleksandr
    The foreign exchange market is one of the important segments of the financial market. Such attention to the foreign exchange market is due to the fact that it provides stable economic and organizational relationships in the implementation of transactions for the purchase or sale of foreign currency. This, in turn, has a significant impact on the development of international economic relations. Thus, the analysis of the foreign exchange market plays an important role in the evaluation of various economic processes. To analyze the situation in the foreign exchange market, it is necessary to have primary data. As a source of primary data for the foreign exchange market are empirical data on the dynamics of the exchange rate. At the same time, it is necessary to know the dynamics of the exchange rate from the point of view of different countries. This increases the reliability of the results that can be obtained from the corresponding analysis. We can also evaluate the mutual influence on the dynamics of exchange rates from the point of view of individual countries. For such an analysis, we use the ideology of wavelets. This ideology allows the analysis of data presented as a time series. Among the methods of wavelet ideology, we consider wavelet coherence. This approach allows us to evaluate the mutual dynamics of exchange rates for different countries. The paper presents the results for real data. The paper presents many graphs and diagrams that allow you to better understand the progress of our study, interpret the results.
  • 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.