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Analyzing Crude Oil Prices under the Impact of COVID-19 by Using LSTARGARCHLSTM

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Cited by:

  1. Melike Bildirici & Nilgun Guler Bayazit & Yasemen Ucan, 2021. "Modelling Oil Price with Lie Algebras and Long Short-Term Memory Networks," Mathematics, MDPI, vol. 9(14), pages 1-10, July.
  2. Bildirici, Melike E. & Sonustun, Bahri, 2021. "Chaotic behavior in gold, silver, copper and bitcoin prices," Resources Policy, Elsevier, vol. 74(C).
  3. Gustavo Carvalho Santos & Flavio Barboza & Antônio Cláudio Paschoarelli Veiga & Mateus Ferreira Silva, 2021. "Forecasting Brazilian Ethanol Spot Prices Using LSTM," Energies, MDPI, vol. 14(23), pages 1-15, November.
  4. Marcus Vinicius Santos & Fernando Morgado-Dias & Thiago C. Silva, 2023. "Oil Sector and Sentiment Analysis—A Review," Energies, MDPI, vol. 16(12), pages 1-29, June.
  5. Mohamed CHIKHI & Claude DIEBOLT, 2022. "Testing the weak form efficiency of the French ETF market with the LSTAR-ANLSTGARCH approach using a semiparametric estimation," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 13, pages 228-253, June.
  6. Özgür Ömer Ersin & Melike Bildirici, 2023. "Financial Volatility Modeling with the GARCH-MIDAS-LSTM Approach: The Effects of Economic Expectations, Geopolitical Risks and Industrial Production during COVID-19," Mathematics, MDPI, vol. 11(8), pages 1-26, April.
  7. Deng, Ming, 2022. "China economic performance and natural resources commodity prices volatility: Evidence from China in COVID-19," Resources Policy, Elsevier, vol. 75(C).
  8. Peipei, Wang & James, William, 2024. "Predicting oil price fluctuations: Integrating external indicators and advanced regression techniques," Resources Policy, Elsevier, vol. 97(C).
  9. Tayarani N., Mohammad-H., 2021. "Applications of artificial intelligence in battling against covid-19: A literature review," Chaos, Solitons & Fractals, Elsevier, vol. 142(C).
  10. Heffron, Raphael J. & Körner, Marc-Fabian & Schöpf, Michael & Wagner, Jonathan & Weibelzahl, Martin, 2021. "The role of flexibility in the light of the COVID-19 pandemic and beyond: Contributing to a sustainable and resilient energy future in Europe," Renewable and Sustainable Energy Reviews, Elsevier, vol. 140(C).
  11. Seyed Mehrzad Asaad Sajadi & Pouya Khodaee & Ehsan Hajizadeh & Sabri Farhadi & Sohaib Dastgoshade & Bo Du, 2022. "Deep Learning-Based Methods for Forecasting Brent Crude Oil Return Considering COVID-19 Pandemic Effect," Energies, MDPI, vol. 15(21), pages 1-23, October.
  12. Arfaoui, Nadia & Naeem, Muhammad Abubakr & Boubaker, Sabri & Mirza, Nawazish & Karim, Sitara, 2023. "Interdependence of clean energy and green markets with cryptocurrencies," Energy Economics, Elsevier, vol. 120(C).
  13. Xiaotao Zhang & Zihui Xia & Feng He & Jing Hao, 2025. "Forecasting crude oil prices with alternative data and a deep learning approach," Annals of Operations Research, Springer, vol. 345(2), pages 1165-1191, February.
  14. Zou, Mi & Han, Lin & Yang, Zhini, 2024. "Price discovery of the Chinese crude oil options and futures markets," Finance Research Letters, Elsevier, vol. 60(C).
  15. Lan, Jing & Wei, Yiming & Guo, Jie & Li, Qiuming & Liu, Zhen, 2023. "The effect of green finance on industrial pollution emissions: Evidence from China," Resources Policy, Elsevier, vol. 80(C).
  16. Cheng, WeiJin & Ming, Kai & Ullah, Mirzat, 2024. "Oil price volatility prediction using out-of-sample analysis – Prediction efficiency of individual models, combination methods, and machine learning based shrinkage methods," Energy, Elsevier, vol. 300(C).
  17. Kafieh, Rahele & Saeedizadeh, Narges & Arian, Roya & Amini, Zahra & Serej, Nasim Dadashi & Vaezi, Atefeh & Javanmard, Shaghayegh Haghjooy, 2020. "Isfahan and Covid-19: Deep spatiotemporal representation," Chaos, Solitons & Fractals, Elsevier, vol. 141(C).
  18. Vincenzo Candila & Denis Maximov & Alexey Mikhaylov & Nikita Moiseev & Tomonobu Senjyu & Nicole Tryndina, 2021. "On the Relationship between Oil and Exchange Rates of Oil-Exporting and Oil-Importing Countries: From the Great Recession Period to the COVID-19 Era," Energies, MDPI, vol. 14(23), pages 1-18, December.
  19. Sui, Bo & Chang, Chun-Ping & Jang, Chyi-Lu & Gong, Qiang, 2021. "Analyzing causality between epidemics and oil prices: Role of the stock market," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 148-158.
  20. Yu, Yang & Guo, SongLin & Chang, XiaoChen, 2022. "Oil prices volatility and economic performance during COVID-19 and financial crises of 2007–2008," Resources Policy, Elsevier, vol. 75(C).
  21. Weijia Xu & Aihua Li & Lu Wei, 2022. "The Impact of COVID-19 on China’s Capital Market and Major Industry Sectors," Annals of Data Science, Springer, vol. 9(5), pages 983-1007, October.
  22. Izunna Anyikwa & Andrew Phiri, 2023. "Connectedness and spillover between African equity, commodity, foreign exchange and cryptocurrency markets during the COVID-19 and Russia-Ukraine conflict," Future Business Journal, Springer, vol. 9(1), pages 1-18, December.
  23. Ali, Muhammad Kashif & Zahoor, Muhammad Khurram & Saeed, Asif & Nosheen, Safia & Thanakijsombat, Thanarerk, 2023. "Institutional and country level determinants of vertical integration: New evidence from the oil and gas industry," Resources Policy, Elsevier, vol. 84(C).
  24. Marcin Fałdziński & Piotr Fiszeder & Witold Orzeszko, 2020. "Forecasting Volatility of Energy Commodities: Comparison of GARCH Models with Support Vector Regression," Energies, MDPI, vol. 14(1), pages 1-18, December.
  25. Krzysztof Echaust & Małgorzata Just, 2021. "Tail Dependence between Crude Oil Volatility Index and WTI Oil Price Movements during the COVID-19 Pandemic," Energies, MDPI, vol. 14(14), pages 1-21, July.
  26. Zhou, Wei & Gu, Qinen & Chen, Jin, 2021. "From volatility spillover to risk spread: An empirical study focuses on renewable energy markets," Renewable Energy, Elsevier, vol. 180(C), pages 329-342.
  27. Guo, Shanwen & Wang, Qibin & Hordofa, Tolassa Temesgen & Kaur, Prabjot & Nguyen, Ngoc Quynh & Maneengam, Apichit, 2022. "Does COVID-19 pandemic cause natural resources commodity prices volatility? Empirical evidence from China," Resources Policy, Elsevier, vol. 77(C).
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