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 - 20233

Налаштування

Автор: search.filters.author.Serhiienko, OlenaКлючові слова: search.filters.subject.analysis

Результати пошуку

Зараз показуємо 1 - 3 з 3
  • Ескіз
    Публікація
    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.
  • Ескіз
    Публікація
    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.
  • 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.