GLOBAL ENERGY MARKET: DEVELOPMENT TRENDS AND RELATIONSHIPS BETWEEN ITS INDIVIDUAL SECTORS
Svitlana Stepurina
Department of Business, Trade and Logistics, National Technical University «Kharkiv Polytechnic Institute», Ukraine
Ostap Huz
Department of Business, Trade and Logistics, National Technical University «Kharkiv Polytechnic Institute», Ukraine
Samer Mehyar
Head of project and assets accounts at the Jordan Petroleum Refinery, Amman, Jordan
Keywords: Development, Interrelation, Oil, Gas, Gasoline, Fuel Oil, Energy Market, Statistical Analysis, Stock Indices
Abstract
The energy market is one of the key factors in the functioning of various business entities and economic development in general. Here it is important to take into account the conditions for the formation of such a market, the influence of various factors on its dynamics and trends in its development. For these purposes, it is advisable to consider data from the corresponding segment of the stock market on which securities of various energy market companies are traded. The dynamics of quotes for such securities helps to understand the obvious and hidden trends in the functioning of such a market. Based on this, the work examines quotes for the classical components of individual segments of the energy market. Among these components, prices for oil, gas, gasoline and fuel oil are highlighted. The work presents graphs for different data and their individual statistical characteristics. The dynamics of the relationship between individual segments of the energy market are also considered. The research results are confirmed by individual graphs and estimates, which also makes it possible to understand the overall progress of the study.
References
Hu, K., Raghutla, C., Chittedi, K. R., Zhang, R., & Koondhar, M. A. (2021). The effect of energy resources on economic growth and carbon emissions: A way forward to carbon neutrality in an emerging economy. Journal of Environmental Management, 298, 113448.
Huda, M., Koji, T., & Aziz, M. (2020). Techno economic analysis of vehicle to grid (V2G) integration as distributed energy resources in Indonesia power system. Energies, 13(5), 1162.
Bustos, O., & Pomares-Quimbaya, A. (2020). Stock market movement forecast: A systematic review. Expert Systems with Applications, 156, 113464.
Nti, I. K., Adekoya, A. F., & Weyori, B. A. (2020). A systematic review of fundamental and technical analysis of stock market predictions. Artificial Intelligence Review, 53(4), 3007-3057.
Shen, J., & Shafiq, M. O. (2020). Short-term stock market price trend prediction using a comprehensive deep learning system. Journal of big Data, 7(1), 1-33.
Kuzemin, A., & Lyashenko, V. (2008). Analysis of Spatial-temporal Dynamics in the System of Economic Security of Different Subjects of Economic Management. International Journal Information Technologies and Knowledge, 2(3), 234–238.
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.
Kuzemin, A., Lуashenko, V., Bulavina, E., & Torojev, A. (2005). Analysis of movement of financial flows of economical agents as the basis for designing the system of economical security (general conception). In Third international conference «Information research, applications, and education (pp. 27-30).
Baranova, V., Zeleniy, O., Deineko, Z., & Lyashenko, V. (2019, October). Stochastic Frontier Analysis and Wavelet Ideology in the Study of Emergence of Threats in the Financial Markets. In 2019 IEEE International Scientific-Practical Conference Problems of Infocommunications, Science and Technology (PIC S&T) (pp. 341-344). IEEE.
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.
Dobrovolskaya, I., & Lyashenko, V. (2013). Interrelations of banking sectors of European economies as reflected in separate indicators of the dynamics of their cash flows influencing the formation of the resource potential of banks. European Applied Sciences, 1-2, 114-118.
Kots, G. P., & Lyashenko, V. (2012). Banking sectors of the economies of European countries in the representation of statistical interrelation between indices that characterize their development. European Applied Sciences, 1, 461-465.
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.
Kuzemin, A., & Lyashenko, V. (2011). Microsituation Concept in GMES Decision Support Systems. In Intelligent Data Processing in Global Monitoring for Environment and Security, 217–238.
Lyashenko, V., Ahmad, M. A., Sotnik, S., Deineko, Z., & Khan, A. (2018). Defects of communication pipes from plastic in modern civil engineering. International Journal of Mechanical and Production Engineering Research and Development, 8(1), 253-262.
Sotnik, S., Matarneh, R., & Lyashenko, V. (2017). System model tooling for injection molding. International Journal of Mechanical Engineering and Technology, 8(9), 378-390.
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.
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.
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.
Uchqun o‘g‘li, B. S., Valentin, L., & Vyacheslav, L. (2023). Image Processing Techniques as a Tool for the Analysis of Liver Diseases. Journal of Universal Science Research, 1(8), 223-233.
Vyacheslav, L., Omer, I. A. M., & Asaad, M. A. B. (2020). COVID-19 wavelet coherence data for some Gulf countries. GSC Biological and Pharmaceutical Sciences, 11(2), 166-174.
Lyashenko, V., Deineko, Z., & Ahmad, A. (2015). Properties of Wavelet Coefficients of Self-Similar Time Series. International Journal of Scientific and Engineering Research, 6, 1492-1499.
Sotnik, S., & et al.. (2022). Analysis of Existing Infliences in Formation of Mobile Robots Trajectory. International Journal of Academic Information Systems Research, 6(1), 13-20.
Ahmad, M., Kots, G., & Lyashenko, 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, pp. 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.
Chuvakhina, L. G., Yarygina, I. Z., Ustinova, O. E., Mironova, V. N., & Ivanovskaya, Z. V. (2022). The impact of Covid-19 on pricing in the global oil market. International Journal of Energy Economics and Policy, 12(5), 370-377.
Coskun, M. (2023). Dynamic correlations and volatility spillovers between subsectoral clean‐energy stocks and commodity futures markets: A hedging perspective. Journal of Futures Markets, 43(12), 1727-1749.
Orlik, L. K., & Khasanova, I. F. (2020, May). Dynamics of Exchange Rates and Oil Price: Adaptive Analysis and Forecasting. In International Conference on Economics, Management and Technologies 2020 (ICEMT 2020) (pp. 229-234). Atlantis Press.
Kruyt, B., Van Vuuren, D. P., de Vries, H. J., & Groenenberg, H. (2009). Indicators for energy security. Energy policy, 37(6), 2166-2181.
Huang, R. D., Masulis, R. W., & Stoll, H. R. (1996). Energy shocks and financial markets. Journal of Futures markets, 16(1), 1-27.
Kumar, D., Sarangi, P. K., & Verma, R. (2022). A systematic review of stock market prediction using machine learning and statistical techniques. Materials Today: Proceedings, 49, 3187-3191.
Alamgir, F., & Amin, S. B. (2021). The nexus between oil price and stock market: Evidence from South Asia. Energy Reports, 7, 693-703.
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.
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.