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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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.
Development of the Energy Sector in the Display of Key Exchange Indices
(2023) Petrukhnov, O. V.; Negliad, A. V.; Lyashenko, Vyacheslav
Economic development makes it necessary to provide a sufficient amount of resources and sources of their receipt. Among such objects, a special place is occupied by those that allow you to receive energy. This type of resource is important for the implementation of all types of activities and the functioning of any types of business entities, households. Obtaining this resource is associated with the use of minerals or the possibility of using renewable sources. In the first case, it is important to know the availability of minerals, which is generally determined by the dynamics of the respective prices. These prices are formed as a result of trading on the stock exchange and are determined by the dynamics of the respective stock indices. We consider various exchange indicators. The dynamics of the relationship of such indices is also considered. The paper presents a series of graphs and charts that allow you to understand the progress of the study. The results obtained make it possible to assess the dynamics of the development of the global energy sector.
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.
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.
Assessment Dynamics the Development of Financial Markets in the UK and Japan in the Context of COVID-19 Pandemic
(2022) Lyashenko, Vyacheslav; Bitner, Irina; Bilotserkivskyi, Oleksandr
The negative dynamics of the spread of the COVID-19 pandemic affects all areas of daily and economic activity. At the same time, the degree of such influence is largely determined by the continuity of the movement of various financial flows, the possibility of their rapid renewal in cases of emergency slowdown or interruption of movement. For the analysis of the movement of financial flows, it is important to study the development of financial markets. It is important to carry out such an analysis from the point of view of different segments of the financial market. At the same time, it is also necessary to take into account the general trend in the development of the financial market, the relationship of its individual segments. This can be done based on the analysis of the relevant stock indexes. The paper considers the dynamics of the real values of stock indices, which reflect the dynamics of the development of individual sectors of the financial market. The paper also takes into account the aspects of conducting a comparative analysis, which allows us to identify common patterns. To do this, we consider the values of the UK and Japan stock indices. To conduct a comparative analysis, we use the methodology for constructing wavelet coherence estimates. The paper presents many graphs and charts for specific real data. This allows you to understand the logic of the study and the results obtained.
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.
Analysis of the Dynamics of Prices for Shares of Leading IT Companies: IBM, Intel, Apple, Microsoft, Casio Computer Co.
(2023) Samorodov, Borys; Zastola, Yevhen; Lyashenko, Vyacheslav
Analysis and comparison are research tools that allow you to consider various trends and make the necessary informed decisions. Currently, much attention is paid to IT technologies that contribute to the development of business entities, the introduction of new processes, and the formation of an innovative paradigm. This allows us to talk about the importance of IT companies in the formation of sustainable economic development, relationships between contractors and partners. Most of these companies are listed on the stock market where their securities are located. The display of such an appeal is the dynamics of prices for the relevant shares. The paper considers quotes for shares of leading high-tech companies. To do this, we use standard statistical methods, a quantitative comparison procedure, and wavelet theory. As a result of the analysis, we obtained various dependencies and data estimates, which are presented in the form of stock prices. The findings allow us to understand the dynamics that exist in the IT companies market. We can also develop approaches to the choice of investment strategies when implementing innovative solutions. The article contains many figures and diagrams. This helps to understand the progress of the research.
Price Environment for Gold and Silver in the Context of the Development of COVID-19
(2020) Baranova, Valeria; Sergienko, Olena; Stepurina, Svitlana; Lyashenko, Vyacheslav
The precious metals market is an integral part of the overall financial market. This part of the financial market plays an important role in the redistribution of financial flows. The precious metals market is currently under the influence of factors related to the spread of the COVID-19 pandemic. We investigated the dynamics of gold and silver prices in the context of the current pandemic development. For this analysis, we use the wavelet ideology. The results can be used in exchange trading in precious metals, investing in gold and silver.
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.
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.