Have a personal or library account? Click to login
Time Time Series Forecasting of Stock Price for Maritime Shipping Company in COVID-19 Period Using Multi-Step Long Short-Term Memory (LSTM) Networks Cover

Time Time Series Forecasting of Stock Price for Maritime Shipping Company in COVID-19 Period Using Multi-Step Long Short-Term Memory (LSTM) Networks

By: Ahmad Ghareeb  
Open Access
|Jul 2023

References

  1. Abdul Quadir Md, Sanjit Kapoor, Chris Junni A.V., Arun Kumar Sivaraman, Kong Fah Tee, Sabireen H., Janakiraman N. (2022). Novel optimization approach for stock price forecasting using multi-layered sequential LSTM. Applied Soft Computing, Volume 134, https://doi.org/10.1016/j.asoc.2022.109830.
  2. Bernard Njindan Iyke, M.M.J.D. Maheepala. (2022). Conventional monetary policy, COVID-19, and stock markets in emerging economies. Pacific-Basin Finance Journal, Volume 76, https://doi.org/10.1016/j.pacfin.2022.101883.
  3. David Guerrero, Lucie Letrouit, Carlos Pais-Montes. (2022). The container transport system during Covid-19: An analysis through the prism of complex networks, Transport Policy, Volume 115, pp. 113-125, https://doi.org/10.1016/j.tranpol.2021.10.021.
  4. Dimitris Gavalas, Theodoros Syriopoulos, Michael Tsatsaronis. (2022). COVID–19 impact on the shipping industry: An event study approach. Transport Policy, Volume 116, 2022, pp. 157-164, https://doi.org/10.1016/j.tranpol.2021.11.016.
  5. Hakan Yilmazkuday. (2022). Coronavirus disease 2019 and the global economy. Transport Policy, Volume 120, pp. 40-46, https://doi.org/10.1016/j.tranpol.2022.03.003.
  6. Hideaki Sakawa, Naoki Watanabel. (2023). The impact of the COVID-19 outbreak on Japanese shipping industry: An event study approach. Transport Policy, Volume 130, pp. 130-140, https://doi.org/10.1016/j.tranpol.2022.11.002.
  7. Hong-Mei Zhao, Hong-Di He, Kai-Fa Lu, Xiao-Long Han, Yi Ding, Zhong-Ren Peng. (2022). Measuring the impact of an exogenous factor: An exponential smoothing model of the response of shipping to COVID-19. Transport Policy, Volume 118, pp. 91-100, https://doi.org/10.1016/j.tranpol.2022.01.015.
  8. Hossein Abbasimehr, Mostafa Shabani, Mohsen Yousefi. (2020). An optimized model using LSTM network for demand forecasting. Computers & Industrial Engineering, Volume 143, https://doi.org/10.1016/j.cie.2020.106435.
  9. Masha Menhat, Izyan Munirah Mohd Zaideen, Yahaya Yusuf, Nurul Haqimin Mohd Salleh, Meor Azry Zamri, Jagan Jeevan. (2021). The impact of Covid-19 pandemic: A review on maritime sectors in Malaysia. Ocean & Coastal Management, Volume 209, https://doi.org/10.1016/j.ocecoaman.2021.105638.
  10. Meihui Zhong, Mingwei Lin. (2022). Bibliometric analysis for economy in COVID-19 pandemic. Heliyon, Volume 8, Issue 9, https://doi.org/10.1016/j.heliyon.2022.e10757.
  11. Mei-Ping Chen, Chien-Chiang Lee, Yu-Hui Lin & Wen-Yi Chen. (2018). Did the S.A.R.S. epidemic weaken the integration of Asian stock markets? Evidence from smooth time-varying cointegration analysis. Economic Research-Ekonomska Istraživanja, 31:1, 908-926, DOI: 10.1080/1331677X.2018.1456354.
  12. Prathvi Thumbe Narasimha, Pradyot Ranjan Jena, Ritanjali Majhi. (2021). Impact of COVID-19 on the Indian seaport transportation and maritime supply chain. Transport Policy, Volume 110, pp. 191-203, https://doi.org/10.1016/j.tranpol.2021.05.011.
  13. Yigit Kazancoglu, Esra Ekinci, Sachin Kumar Mangla, Muruvvet Deniz Sezer, Melisa Ozbiltekin-Pala. (2023). Impact of epidemic outbreaks (COVID-19) on global supply chains: A case of trade between Turkey and China. Socio-Economic Planning Sciences, Volume 85, https://doi.org/10.1016/j.seps.2022.101494.
  14. *** UNCTAD. (April 2021). Shipping during COVID-19: Why container freight rates have surged. from https://unctad.org/news/shipping-during-covid-19-why-container-freight-rates-have-surged. Time access: November 2022.
  15. *** UNCTAD. (March 2021). COVID-19 and Maritime Transport Impact and Responses. https://unctad.org/system/files/official-document/dtltlb2021d1_en.pdf. Time access: November 2022.
  16. *** UNCTAD. (June 2022). COVID-19 and Maritime Transport: Navigating the Crisis and Lessons Learned. https://unctad.org/system/files/official-document/tcsdtlinf2022d1_en.pdf. Time access: December 2022.
  17. *** UNCTAD. (November 2021). Freight rates, maritime transport costs and their impact on prices. https://unctad.org/system/files/official-document/rmt2021ch3_en.pdf. Time access: November 2022.
Language: English
Page range: 1728 - 1747
Published on: Jul 14, 2023
Published by: Bucharest University of Economic Studies
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2023 Ahmad Ghareeb, published by Bucharest University of Economic Studies
This work is licensed under the Creative Commons Attribution 4.0 License.