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Повний запис метаданих
Поле DC | Значення | Мова |
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dc.contributor.author | Бєлінський, Андрій Олександрович | - |
dc.contributor.author | Соловйов, Володимир Миколайович | - |
dc.contributor.author | Матвійчук, Андрій Вікторович | - |
dc.contributor.author | Соловйова, Вікторія Володимирівна | - |
dc.contributor.author | Кмитюк, Тетяна Леонідівна | - |
dc.contributor.author | Великоіваненко, Галина Іванівна | - |
dc.date.accessioned | 2024-08-12T04:58:26Z | - |
dc.date.available | 2024-08-12T04:58:26Z | - |
dc.date.issued | 2024-05 | - |
dc.identifier.citation | Бєлінський А. О. The States of Irreversibility in the Energy-Related Markets and their Identification [Електронний ресурс] / А. О. Бєлінський, В. М. Соловйов, А. В. Матвійчук, В. В. Соловйова, Т. Л. Кмитюк, Г. І. Великоіваненко // Інформаційні технології в освіті, науці і техніці (ІТОНТ-2024) : матеріали VІІ Міжнародної науково-практичної конференції, Черкаси, 23–24 трав. 2024 р. – Черкаси, 2024. – С. 349. – Режим доступу: https://knsa.chdtu.edu.ua/itont-2024 (дата звернення: 11.08.2024). | uk |
dc.identifier.uri | http://elibrary.kdpu.edu.ua/xmlui/handle/123456789/10509 | - |
dc.description | 1. Vandyck T. Wójtowicz K. Economic exposure to oil price shocks and the fragility of Oil-Exporting countries / T. Vandyck, A. Kitous, B. Saveyn, K. Keramidas, L.R.L. Santos // Energies, 2018. №11(4). P. 827. https://doi.org/10.3390/en11040827 2. Bandt C. Permutation entropy: a natural complexity measure for time series / C. Bandt, B. Pompe // Phys. Rev. Lett., 2002. №88. P. 174102. https://doi.org/10.1103/PhysRevLett.88.174102 3. Grosse I. Analysis of symbolic sequences using the Jensen-Shannon divergence / I. Grosse, P. Bernaola-Galván, P. Carpena, R. Román-Roldán, J. Oliver, H.E. Stanley // Phys. Rev. E., 2002. №65(4 Pt 1). P. 041905. https://doi.org/10.1103/PhysRevE.65.041905 4. Lacasa L. Time series irreversibility: a visibility graph approach / L. Lacasa, A. Nuñez, É. Roldán // Eur. Phys. J. B, 2012. №85. P. 217. https://doi.org/10.1140/epjb/e2012-20809-8 5. Bielinskyi A. Econophysics of cryptocurrency crashes: a systematic review / A.O. Bielinskyi, O.A. Serdyuk, S.O. Semerikov, V.N. Soloviev // Machine Learning for Prediction of Emergent Economy Dynamics, 2021. vol. 3048. ISSN 1613-0073. p. 31-133. 6. Bielinskyi A. Irreversibility of financial time series: a case of crisis / A.O. Bielinskyi, S.V. Hushko, A.V. Matviychuk, O.A. Serdyuk, S.O. Semerikov, V.N. Soloviev // Machine Learning for Prediction of Emergent Economy Dynamics, 2021. vol. 3048. ISSN 1613-0073. p. 134-150. 7. Bielinskyi, A., Soloviev, V., Solovieva, V., Matviychuk, A., Hushko, S., Velykoivanenko, H. (2023). Stock Market Crashes as PhaseTransitions. In: Antoniou, G., et al. Information and Communication Technologies in Education, Research, and Industrial Applications. ICTERI 2023. Communications in Computer and Information Science, vol 1980. Springer, Cham. https://doi.org/10.1007/978-3-031-48325-7_15 | uk |
dc.description.abstract | The energy sector plays a crucial role in a nation's economic development by addressing imbalances between production and consumption of energy resources. Numerous factors can influence the prices of oil, and fluctuations in one commodity can trigger short-term, medium-term, or long-term fluctuations in another. Interconnectedness among the commodities of the energy sector forms a highly complex, multi-parametric system characterized by simultaneously operating trends that are both contrary to previous dynamics and more predictable periods. Regimes of unpredictability exemplify the irreversibility of the studied system, and a loss of irreversibility may indicate destructive processes. Consequently, this study presents indicators-precursors of crisis events, characterized by a decrease in irreversibility as they occur. Using the example of daily West Texas Intermediate (WTI) spot prices (US$/BBL) from January 2, 1986 to March 18, 2024, we provide an indicator that precedes crisis states in the oil market. The construction of such an indicator is based on the algorithm of permutation patterns. This study demonstrates that the irreversibility of the system can serve as a precursor to financial crises. | uk |
dc.description.abstract | This work is a part of the applied research “Monitoring, Forecasting, and Prevention of Crisis Phenomena in Complex Socio-Economic Systems”, which is funded by the Ministry of Education and Science of Ukraine (project No. 0122U001694). The authors would also like to thank the Armed Forces of Ukraine for providing security to perform this work. This work has become possible only because of the resilience and courage of the Ukrainian Army. | - |
dc.language.iso | en | uk |
dc.publisher | ЧДТУ | uk |
dc.subject | irreversibility | uk |
dc.subject | oil market | uk |
dc.subject | complex systems | uk |
dc.subject | indicator-precursor | uk |
dc.title | The States of Irreversibility in the Energy-Related Markets and their Identification | uk |
dc.type | Book chapter | uk |
dc.type | Other | uk |
Розташовується у зібраннях: | Кафедра інформатики та прикладної математики |
Файли цього матеріалу:
Файл | Опис | Розмір | Формат | |
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itest-2024-irrevers.pdf | 1.41 MB | Adobe PDF | Переглянути/Відкрити |
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