IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i22p9853-d1519157.html
   My bibliography  Save this article

Forecasting Maritime and Financial Market Trends: Leveraging CNN-LSTM Models for Sustainable Shipping and China’s Financial Market Integration

Author

Listed:
  • Zihui Han

    (The Graduate School of Global Business, Sejong University, Seoul-si 03773, Republic of Korea)

  • Xiangcheng Zhu

    (Department of Pedagogy, Bashkir State Pedagogical University n.a. M. Akmulla, Ufa 450008, Russia)

  • Zhenqing Su

    (The Graduate School of Global Business, Kyonggi University, Suwon-si 16227, Republic of Korea)

Abstract

With the acceleration of economic globalization, China’s financial market has emerged as a vital force in the global financial system. The Baltic Dry Index (BDI) and China Container Freight Index (CCFI) serve as key indicators of the shipping sector’s health, reflecting their sensitivity to shifts in China’s financial landscape. This study utilizes an innovative CNN-LSTM deep learning model to forecast the BDI and CCFI, using 25,974 daily data points from the Chinese financial market between 5 May 2015 and 30 November 2022. The model achieves high predictive accuracy across diverse samples, frequencies, and structural variations, with an R 2 of 97.2%, showcasing its robustness. Beyond its predictive strength, this research underscores the critical role of China’s financial market in advancing sustainable practices within the global shipping industry. By merging advanced analytics with sustainable shipping strategies, the findings offer stakeholders valuable tools for optimizing operations and investments, reducing emissions, and promoting long-term environmental sustainability in both sectors. Additionally, this study enhances the resilience and stability of financial and shipping ecosystems, laying the groundwork for an eco-friendly, efficient, and sustainable global logistics network in the digital era.

Suggested Citation

  • Zihui Han & Xiangcheng Zhu & Zhenqing Su, 2024. "Forecasting Maritime and Financial Market Trends: Leveraging CNN-LSTM Models for Sustainable Shipping and China’s Financial Market Integration," Sustainability, MDPI, vol. 16(22), pages 1-24, November.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:22:p:9853-:d:1519157
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/22/9853/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/22/9853/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Qianqian Han & Bo Yan & Guobao Ning & B. Yu, 2014. "Forecasting Dry Bulk Freight Index with Improved SVM," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-12, June.
    2. Marcel Prokopczuk, 2011. "Pricing and hedging in the freight futures market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 31(5), pages 440-464, May.
    3. Arunava Bandyopadhyay & Prabina Rajib, 2023. "The asymmetric relationship between Baltic Dry Index and commodity spot prices: evidence from nonparametric causality-in-quantiles test," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 36(2), pages 217-237, June.
    4. Gerald Schernewski & Gabriela Escobar Sánchez & Stefanie Felsing & Margaux Gatel Rebours & Mirco Haseler & Rahel Hauk & Xaver Lange & Sarah Piehl, 2024. "Emission, Transport and Retention of Floating Marine Macro-Litter (Plastics): The Role of Baltic Harbor and Sailing Festivals," Sustainability, MDPI, vol. 16(3), pages 1-22, January.
    5. Husaini Said & Evangelos Giouvris, 2019. "Oil, the Baltic Dry index, market (il)liquidity and business cycles: evidence from net oil-exporting/oil-importing countries," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 33(4), pages 349-416, December.
    6. Longjin Yu & Man Ji & Fazli Haleem & Yilong Gong & Yang Shen & Shaolong Zeng, 2024. "A Case Study on the Innovative Development of Digital Supply Chain Finance Based on MYbank in China," Sustainability, MDPI, vol. 16(17), pages 1-22, August.
    7. Junheng Cheng & Weiyi Hong & Jingya Cheng, 2023. "Optimal Green Input Level for a Capital-Constrained Supply Chain Considering Disruption Risk," Sustainability, MDPI, vol. 15(15), pages 1-21, August.
    8. Kang, Sang Hoon & Yoon, Seong-Min, 2019. "Financial crises and dynamic spillovers among Chinese stock and commodity futures markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 531(C).
    9. Saeed, Naima & Nguyen, Su & Cullinane, Kevin & Gekara, Victor & Chhetri, Prem, 2023. "Forecasting container freight rates using the Prophet forecasting method," Transport Policy, Elsevier, vol. 133(C), pages 86-107.
    10. Javier Martínez-Falcó & Bartolomé Marco-Lajara & Eduardo Sánchez-García & Luis A. Millan-Tudela, 2023. "Sustainable Development Goals in the Business Sphere: A Bibliometric Review," Sustainability, MDPI, vol. 15(6), pages 1-20, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Miao Su & Keun Sik Park & Sung Hoon Bae, 2024. "A new exploration in Baltic Dry Index forecasting learning: application of a deep ensemble model," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 26(1), pages 21-43, March.
    2. Yu, Fangping & Xiang, Zhiyuan & Wang, Xuanhe & Yang, Mo & Kuang, Haibo, 2023. "An innovative tool for cost control under fragmented scenarios: The container freight index microinsurance," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 169(C).
    3. Fadaki, Masih & Asadikia, Atie, 2024. "Augmenting Monte Carlo Tree Search for managing service level agreements," International Journal of Production Economics, Elsevier, vol. 271(C).
    4. Taleb S. T. Taleb & Norashidah Hashim & Norria Zakaria, 2023. "Entrepreneurial Leadership and Entrepreneurial Success: The Mediating Role of Entrepreneurial Opportunity Recognition and Innovation Capability," Sustainability, MDPI, vol. 15(7), pages 1-17, March.
    5. Farid, Saqib & Kayani, Ghulam Mujtaba & Naeem, Muhammad Abubakr & Shahzad, Syed Jawad Hussain, 2021. "Intraday volatility transmission among precious metals, energy and stocks during the COVID-19 pandemic," Resources Policy, Elsevier, vol. 72(C).
    6. Umar, Zaghum & Aziz, Saqib & Tawil, Dima, 2021. "The impact of COVID-19 induced panic on the return and volatility of precious metals," Journal of Behavioral and Experimental Finance, Elsevier, vol. 31(C).
    7. Niu, Hongli & Hu, Ziang, 2021. "Information transmission and entropy-based network between Chinese stock market and commodity futures market," Resources Policy, Elsevier, vol. 74(C).
    8. Gong, Yuting & Li, Kevin X. & Chen, Shu-Ling & Shi, Wenming, 2020. "Contagion risk between the shipping freight and stock markets: Evidence from the recent US-China trade war," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).
    9. Ngo Thai Hung, 2021. "Directional Spillover Effects Between BRICS Stock Markets and Economic Policy Uncertainty," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 28(3), pages 429-448, September.
    10. Lourdes Gómez-Valle & Miguel Angel López-Marcos & Julia Martínez-Rodríguez, 2020. "Two New Strategies for Pricing Freight Options by Means of a Valuation PDE and by Functional Bounds," Mathematics, MDPI, vol. 8(4), pages 1-12, April.
    11. Lourdes Gómez‐Valle & Ioannis Kyriakou & Julia Martínez‐Rodríguez & Nikos K. Nomikos, 2021. "Estimating risk‐neutral freight rate dynamics: A nonparametric approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(11), pages 1824-1842, November.
    12. Qi, Haozhi & Wu, Tiantian & Chen, Hao & Lu, Xiuling, 2023. "Time-frequency connectedness and cross-quantile dependence between carbon emission trading and commodity markets: Evidence from China," Resources Policy, Elsevier, vol. 82(C).
    13. Wen, Fenghua & Liu, Zhen & Dai, Zhifeng & He, Shaoyi & Liu, Wenhua, 2022. "Multi-scale risk contagion among international oil market, Chinese commodity market and Chinese stock market: A MODWT-Vine quantile regression approach," Energy Economics, Elsevier, vol. 109(C).
    14. Wei, Zhengyuan & He, Qingxia & Zhou, Qili & Wang, Ge, 2023. "Measuring dependence structure and extreme risk spillovers in stock markets: An APARCH-EVT-DMC approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 632(P1).
    15. Raghu Raman & Walter Leal Filho & Hector Martin & Suparna Ray & Dayana Das & Prema Nedungadi, 2024. "Exploring Sustainable Development Goal Research Trajectories in Small Island Developing States," Sustainability, MDPI, vol. 16(17), pages 1-25, August.
    16. Alexander Chupin & Dmitry Morkovkin & Marina Bolsunovskaya & Anna Boyko & Alexander Leksashov, 2024. "Techno-Economic Sustainability Potential of Large-Scale Systems: Forecasting Intermodal Freight Transportation Volumes," Sustainability, MDPI, vol. 16(3), pages 1-17, February.
    17. Cui, Jinxin & Maghyereh, Aktham, 2023. "Higher-order moment risk connectedness and optimal investment strategies between international oil and commodity futures markets: Insights from the COVID-19 pandemic and Russia-Ukraine conflict," International Review of Financial Analysis, Elsevier, vol. 86(C).
    18. Sel, Burakhan & Minner, Stefan, 2022. "A hedging policy for seaborne forward freight markets based on probabilistic forecasts," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 166(C).
    19. Billah, Mabruk & Karim, Sitara & Naeem, Muhammad Abubakr & Vigne, Samuel A., 2022. "Return and volatility spillovers between energy and BRIC markets: Evidence from quantile connectedness," Research in International Business and Finance, Elsevier, vol. 62(C).
    20. Rehman, Mobeen Ur & Vo, Xuan Vinh & Ko, Hee-Un & Ahmad, Nasir & Kang, Sang Hoon, 2023. "Quantile connectedness between Chinese stock and commodity futures markets," Research in International Business and Finance, Elsevier, vol. 64(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:16:y:2024:i:22:p:9853-:d:1519157. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.