Multidisciplinary Journal of Science and Technology

ENERGY MARKET DYNAMICS AS REFLECTED IN SELECTED EUROPEAN GLOBAL INDICES

Mykhailo Bril

Department of Public Administration and Economic Policy, Simon Kuznets Kharkiv National University of Economics, Ukraine

Oleksiy Petrukhnov

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: Dynamics, Stock indices, Comparison, Analysis, Oil, Gas, Stock market, Energy market

---

Abstract

The energy market plays an important role in providing appropriate resources, both for the needs of each person and for the development of various economic agents. Such provision makes it possible for individual business entities to function normally, to develop the economy and to satisfy the basic needs of people. Energy resources include oil, gas, fuel oil, and coal. The sale of these resources is carried out through their free sale on the market using various instruments in the form of certain securities. For the purposes of energy market analysis, it is important to know the quotes of such securities, taking into account the peculiarities of the functioning of a certain market segment. Based on this, the work examines the dynamics of the energy market as reflected by individual European global indices. The article presents the dynamics of individual indicators of the corresponding indices and conducts their comparative analysis. This allows you to determine the best time to enter the market. The work presents various graphs and diagrams that allow you to understand the progress of the study and evaluate the results obtained.

---

References

Pao, H. T., & Chen, C. C. (2019). Decoupling strategies: CO2 emissions, energy resources, and economic growth in the Group of Twenty. Journal of cleaner production, 206, 907-919.

Pao, H. T., & Fu, H. C. (2013). The causal relationship between energy resources and economic growth in Brazil. Energy Policy, 61, 793-801.

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.

Zeleniy, O., Lyashenko, V., & Shapran, O. (2022). Analysis of Trade Trends in Global Non-Precious Metal Markets. International Journal of Academic Multidisciplinary Research (IJAMR), 6(10), 223-230.

Lyashenko, V., Bril, M., & Pyvavar, I. (2021) Empirical Estimates of Data on the Dynamics of Changes in the World Foreign Exchange Market. International Journal of Academic Management Science Research (IJAMSR), 5(11), 52-58.

Vasyurenko, O., & et al.. (2014). Efficiency of lending to natural persons and legal entities by banks of Ukraine: methodology of stochastic frontier analysis. Herald of the National Bank of Ukraine. 1, 5-11.

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).

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

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.

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.

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.

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

Kuzemin, A., & Lyashenko, V. (2009). Methods of comparative analysis of banks functioning: classic and new approaches. Information Theories & Applications, 16(4), 384-396.

Al-Sharo, Y. M., Abu-Jassar, A. T., Sotnik, S., & Lyashenko, V. (2021). Neural Networks As A Tool For Pattern Recognition of Fasteners. International Journal of Engineering Trends and Technology, 69(10), 151-160.

Nevliudov, I., & et al.. (2020). Method of Algorithms for Cyber-Physical Production Systems Functioning Synthesis. International Journal of Emerging Trends in Engineering Research, 8(10), 7465-7473.

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

Attar, H., Abu-Jassar, A. T., Lyashenko, V., Al-qerem, A., Sotnik, S., Alharbi, N., & Solyman, A. A. (2023). Proposed synchronous electric motor simulation with built-in permanent magnets for robotic systems. SN Applied Sciences, 5(6), 160.

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.

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

Eberlein, B. (2008). The making of the European energy market: The interplay of governance and government. Journal of Public Policy, 28(1), 73-92.

Pepermans, G. (2019). European energy market liberalization: Experiences and challenges. International Journal of Economic Policy Studies, 13(1), 3-26.

Kanellakis, M., Martinopoulos, G., & Zachariadis, T. (2013). European energy policy—A review. Energy Policy, 62, 1020-1030.

Soeiro, S., & Dias, M. F. (2020). Renewable energy community and the European energy market: Main motivations. Heliyon, 6(7).

Spelta, A., & De Giuli, M. E. (2023). Does renewable energy affect fossil fuel price? A time–frequency analysis for the Europe. Physica A: Statistical Mechanics and its Applications, 626, 129098.

Thanh, T. T., & Linh, V. M. (2022). An exploration of sources of volatility in the energy market: An application of a TVP-VAR extended joint connected approach. Sustainable Energy Technologies and Assessments, 53, 102448.

De Giuli, M. E., & Spelta, A. (2023). Wasserstein barycenter regression for estimating the joint dynamics of renewable and fossil fuel energy indices. Computational Management Science, 20(1), 1.

Mustafa, S. K., & et al.. (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.

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.

Wang, Y., Wei, M., Bashir, U., & Zhou, C. (2022). Geopolitical risk, economic policy uncertainty and global oil price volatility—an empirical study based on quantile causality nonparametric test and wavelet coherence. Energy Strategy Reviews, 41, 100851.

Adebayo, T. S. (2020). Revisiting the EKC hypothesis in an emerging market: an application of ARDL-based bounds and wavelet coherence approaches. SN Applied Sciences, 2(12), 1945.

Kirikkaleli, D., Adedoyin, F. F., & Bekun, F. V. (2021). Nuclear energy consumption and economic growth in the UK: evidence from wavelet coherence approach. Journal of Public Affairs, 21(1), e2130.