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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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.
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.
Comparative Analysis of the Dynamics of Futures for the Dow Jones, S&P 500 and Nasdaq
(2023) Serhiienko, Olena; Novikova, Tetyana; Lyashenko, Vyacheslav
The stock market plays an important role in the functioning of individual business entities and the development of the financial market as a whole. To understand such dynamics, an important aspect is to study quotes for futures, indices and stocks. Based on this, the paper examines various aspects of conducting a comparative analysis of data on futures for the Dow Jones, S&P 500 and Nasdaq indices. We consider simple aspects of statistical analysis, as well as the mutual dynamics of such indicators. For these purposes, the methodology for estimating wavelet coherence is used. The paper presents graphical estimates of such characteristics. This helps to understand the results obtained.
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.
Analysis Dynamics of the Market Development of Funds for Investment: on the Example of Major ETF
(2023) Serhiienko, Olena; Bril, Mykhailo; Lyashenko, Vyacheslav
The sustainable functioning and development of both the economy as whole and individual business entities requires constant investment. Such an investment is possible both with the help of bank lending and on the basis of investment. Each of the approaches has its own advantages and disadvantages. In this paper, we consider investment. Investing comes in various types and forms. One of the types of investment is raising the necessary funds through investment funds. For these purposes, stock market instruments are used. We are considering an ETF fund. We examine the dynamics of the fund's main ETF instruments. For this analysis, we use descriptive statistics and wavelet analysis tools. The paper presents many graphs and charts that allow you to understand the course of the study and evaluate the results.
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.