THE CRYPTOCURRENCY MARKET AS REFLECTED BY INDIVIDUAL US INDUSTRY STOCK INDICES AS A FACTOR IN THE DEVELOPMENT OF SMALL AND MEDIUM-SIZED ENTERPRISES

Tetiana Silichova; Vladislav Volkodav; Vyacheslav Lyashenko

THE CRYPTOCURRENCY MARKET AS REFLECTED BY INDIVIDUAL US INDUSTRY STOCK INDICES AS A FACTOR IN THE DEVELOPMENT OF SMALL AND MEDIUM-SIZED ENTERPRISES

Tetiana Silichova

Department of Mathematical Methods in Economics, V.N. Karazin Kharkiv National University, Ukrainе

Vladislav Volkodav

Department of Business, Trade and Logistics, National Technical University «Kharkiv Polytechnic Institute», Ukraine

Vyacheslav Lyashenko

Department of Media Systems and Technology, Kharkiv National University of Radio Electronics, Ukraine

##semicolon## Cryptocurrency, Stock indices, Stock market, Small and medium enterprises, Comparative analysis, Dynamics

सार

Economic development presupposes a stable connection between various sectors of the economy and individual business entities. Such a connection is possible using stock market instruments. Currently, among the stock market instruments, cryptocurrency and stock indices are distinguished. The dynamics of the corresponding quotes helps to understand the development of the market, the time of favorable entry into the market and much more. Based on this, the work examines the dynamics of individual components of the cryptocurrency market and stock indices. The results obtained are confirmed by graphs and diagrams.

##submission.citations##

Little, A. W., & Green, A. (2009). Successful globalisation, education and sustainable development. International Journal of Educational Development, 29(2), 166-174.

Holmberg, J., & Sandbrook, R. (2019). Sustainable development: what is to be done?. In Policies for a small planet (pp. 19-38). Routledge.

Boreiko, D., Ferrarini, G., & Giudici, P. (2019). Blockchain startups and prospectus regulation. European Business Organization Law Review, 20, 665-694.

Momtaz, P. P. (2022). Decentralized finance (defi) markets for startups: Search frictions, intermediation, and efficiency. Intermediation, and Efficiency (January 28, 2022).

Pyrohova, S., Gudymenko, V., & Lyashenko, V. (2024). Dynamics of commodity indices and shares of manufacturing companies as a factor in managing the assortment and inventory of an enterprise. Multidisciplinary Journal of Science and Technology, 4(3), 176-185.

Ratanapakorn, O., & Sharma, S. C. (2002). Interrelationships among regional stock indices. Review of Financial Economics, 11(2), 91-108.

Sutcliffe, C. M. (2018). Stock index futures. Routledge.

Afego, P. N. (2017). Effects of changes in stock index compositions: A literature survey. International Review of Financial Analysis, 52, 228-239.

Куштим, В. В., & Ляшенко, В. В. (2007). Динаміка розвитку банківського сегмента міжнародного фінансового ринку. Фінанси України, (12), 96-105.

Ляшенко В. В. (2007). Интерпретация и анализ статистических данных, описывающих процессы экономической динамики. Бизнес Информ, 9(2), 108-113.

Слюніна, Т. Л., Бережний, Є. Б., & Ляшенко, В. В. (2007). Розвиток вітчизняної мережі банківських установ: особливості та регіональні аспекти. Вісник ХНУ ім. В. Н. Каразіна. Економічна серія, 755. 84–88.

Lyashenko, V. (2014). Efficiency of bank crediting of real sector of economy in the context of separate banking groups: an empirical example from Ukraine. International Journal of Accounting and Economics Studies, 2(2), 74-79.

Omarov, M., Tikhaya, T., & Lyashenko, V. (2019). Internet marketing metrics visualization methodology for related search queries. International Journal of Advanced Trends in Computer Science and Engineering, 8(5), 2277-2281.

Азаренкова, Г., & Ляшенко, В. (2009). Відношення переваг у порівняльній оцінці діяльності банків. Банківська справа, 5, 65-72.

Kuzemin, A., & et al.. (2008). Analysis of Spatialtemporal Dynamics in the System of Economic Security of Different Subjects of Economic Management. International Journal Information Technologies and Knowledge, 2(3), 234–238.

Kuzemin, O., & Lyashenko, V. Microsituation Concept in GMES Decision Support Systems. Intelligent Data Processing in Global Monitoring for Environment and Security (pр. 217–238). – 2011. – Р. 217-238.

Vasiurenko, O., Lyashenko, V., Baranova, V., & Deineko, Z. (2020). Spatial-Temporal Analysis the Dynamics of Changes on the Foreign Exchange Market: an Empirical Estimates from Ukraine. Journal of Asian Multicultural Research for Economy and Management Study, 1(2), 1-6.

Mustafa, S. K., Ahmad, M. A., Baranova, V., Deineko, Z., Lyashenko, V., & Oyouni, A. A. A. (2020). Using wavelet analysis to assess the impact of COVID-19 on changes in the price of basic energy resources. International Journal of Emerging Trends in Engineering Research, 8(7), 2907-2912.

Vasiurenko, O., Lyashenko, V., Baranova, V., & Deineko, Z. (2020). Spatial-Temporal Analysis the Dynamics of Changes on the Foreign Exchange Market: an Empirical Estimates from Ukraine. Journal of Asian Multicultural Research for Economy and Management Study, 1(2), 1-6.

Mustafa, S. K., Ahmad, M. A., Baranova, V., Deineko, Z., Lyashenko, V., & Oyouni, A. A. A. (2020). Using wavelet analysis to assess the impact of COVID-19 on changes in the price of basic energy resources. International Journal of Emerging Trends in Engineering Research, 8(7), 2907-2912.

Kuzemin, A., & Lyashenko, V. (2006). Fuzzy set theory approach as the basis of analysis of financial flows in the economical security system. International Journal Information Theories & Applications, 13(1), 45–51.

Ahmad, M. A., Kots, G. P., & Lyashenko, V. V. (2015). Bank Lending Efficiency in the Real Sector of the Economy of Ukraine within the Period of 2011 to 2014 Years. Modern Economy, 6(12), 1209-1218.

Ahmad, M. A., Kots, G. P., & Lyashenko, V. V. (2016). Statistical Study of Bank Lending Efficiency in the Real Sector of the Economy of Ukraine within the Period of Years 2009 to 2012. Asian Academic Research Journal of Multidisciplinary, 3(2), pp. 104-120.

Dadkhah, M., Lyashenko, V. V., Deineko, Z. V., Shamshirband, S., & Jazi, M. D. (2019). Methodology of wavelet analysis in research of dynamics of phishing attacks. International Journal of Advanced Intelligence Paradigms, 12(3-4), 220-238.

Khan, A., Joshi, S., Ahmad, M. A., & Lyashenko, V. (2015). Some effect of Chemical treatment by Ferric Nitrate salts on the structure and morphology of Coir Fibre Composites. Advances in Materials Physics and Chemistry, 5(1), 39-45.

Lyashenko, V. V., Lyubchenko, V. A., Ahmad, M. A., Khan, A., & Kobylin, O. A. (2016). The Methodology of Image Processing in the Study of the Properties of Fiber as a Reinforcing Agent in Polymer Compositions. International Journal of Advanced Research in Computer Science, 7(1).

Matarneh, R., Tvoroshenko, I., & Lyashenko, V. (2019). Improving Fuzzy Network Models For the Analysis of Dynamic Interacting Processes in the State Space. International Journal of Recent Technology and Engineering, 8(4), 1687-1693.

Lyubchenko, V., Matarneh, R., Kobylin, O., & Lyashenko, V. (2016). Digital image processing techniques for detection and diagnosis of fish diseases. International Journal of Advanced Research in Computer Science and Software Engineering, 6(7), 79-83.

Sotnik, S., Mustafa, S. K., Ahmad, M. A., Lyashenko, V., & Zeleniy, O. (2020). Some features of route planning as the basis in a mobile robot. International Journal of Emerging Trends in Engineering Research, 8(5), 2074-2079.

Lyashenko, V., Matarneh, R., & Kobylin, O. (2016). Contrast modification as a tool to study the structure of blood components. Journal of Environmental Science, Computer Science and Engineering & Technology, 5(3), 150-160.

Lyashenko, V. V., Matarneh, R., Kobylin, O., & Putyatin, Y. P. (2016). Contour Detection and Allocation for Cytological Images Using Wavelet Analysis Methodology. International Journal, 4(1), 85-94.

Kuzomin, O., Ahmad, M. A., Kots, H., Lyashenko, V., & Tkachenko, M. (2016). Preventing of technogenic risks in the functioning of an industrial enterprise. International Journal of Civil Engineering and Technology, 7(3), 262-270.

Orobinskyi, P., & et al.. (2020). Comparative Characteristics of Filtration Methods in the Processing of Medical Images. American Journal of Engineering Research, 9(4), 20-25.

Mousavi, S. M. H., Lyashenko, V., & Prasath, S. (2019). Analysis of a robust edge detection system in different color spaces using color and depth images. Компьютерная оптика, 43(4), 632-646.

Alexander, C., & Dakos, M. (2020). A critical investigation of cryptocurrency data and analysis. Quantitative Finance, 20(2), 173-188.

Liang, J., Li, L., Chen, W., & Zeng, D. (2019, July). Towards an understanding of cryptocurrency: a comparative analysis of cryptocurrency, foreign exchange, and stock. In 2019 IEEE International Conference on Intelligence and Security Informatics (ISI) (pp. 137-139). IEEE.

Yue, Y., Li, X., Zhang, D., & Wang, S. (2021). How cryptocurrency affects economy? A network analysis using bibliometric methods. International Review of Financial Analysis, 77, 101869.

Yiying, W., & Yeze, Z. (2019, March). Cryptocurrency price analysis with artificial intelligence. In 2019 5th international conference on information management (ICIM) (pp. 97-101). IEEE.

Buyrukoğlu, S. (2021, October). Promising cryptocurrency analysis using deep learning. In 2021 5th International symposium on multidisciplinary studies and innovative technologies (ISMSIT) (pp. 372-376). IEEE.

Giudici, G., Milne, A., & Vinogradov, D. (2020). Cryptocurrencies: market analysis and perspectives. Journal of Industrial and Business Economics, 47, 1-18.

Mikhaylov, A., Danish, M. S. S., & Senjyu, T. (2021). A new stage in the evolution of cryptocurrency markets: Analysis by hurst method. In Strategic outlook in business and finance innovation: Multidimensional policies for emerging economies (pp. 35-45). Emerald Publishing Limited.

Vasiurenko, O., & Lyashenko, V. (2020). Wavelet coherence as a tool for retrospective analysis of bank activities. Economy and Forecasting, (2), 43-60.

Baranova, V., Orlenko, O., Vitiuk, A., Yakimenko-Tereschenko, N., & Lyashenko, V. (2020). Information system for decision support in the field of tourism based on the use of spatio-temporal data analysis. International Journal of Advanced Trends in Computer Science and Engineering, 9(4), 6356-6361.

Dadkhah, M., Lyashenko, V., & Jazi, M. (2015). Methodology of the Chaos Theory in research of phishing attacks. International Journal of Academic Research, 7(1), 169-175.

Orhan, A., Kirikkaleli, D., & Ayhan, F. (2019). Analysis of wavelet coherence: service sector index and economic growth in an emerging market. Sustainability, 11(23), 6684.

Kirikkaleli, D., & Gokmenoglu, K. K. (2020). Sovereign credit risk and economic risk in Turkey: empirical evidence from a wavelet coherence approach. Borsa Istanbul Review, 20(2), 144-152.

Torrence, С., & Webster, P. J. (1999). Interdecadal changes in the ENSO–monsoon system. Journal of climate, 12(8), 2679-2690.

Heil, C.E., & Walnut, D.F. (1989). Continuous and discrete wavelet transforms. SIAM review, 31(4), 628- 666.

Kingsbury, N. (1999). Image processing with complex wavelets. Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences, 357(1760), 2543-2560.