Modeling the Ningbo Container Freight Index Through Deep Learning: Toward Sustainable Shipping and Regional Economic Resilience
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Ahmed, Abdullahi D. & Huo, Rui, 2021. "Volatility transmissions across international oil market, commodity futures and stock markets: Empirical evidence from China," Energy Economics, Elsevier, vol. 93(C).
- 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.
- Cheng-Wen Chang & Ming-Hsien Hsueh & Chia-Nan Wang & Cheng-Chun Huang, 2023. "Exploring the Factors Influencing the Impact of the COVID-19 Pandemic on Global Shipping: A Case Study of the Baltic Dry Index," Sustainability, MDPI, vol. 15(14), pages 1-17, July.
- Tang, Zhaopei & Wang, Liehui, 2025. "Shipping decarbonization and public emergencies: How does COVID-19 impact container shipping carbon emissions?," Journal of Transport Geography, Elsevier, vol. 123(C).
- Borggreve, Richard & Wilmsmeier, Gordon, 2025. "Container alliance strategies, market concentration and equality: A dynamic time warping clustering approach," Journal of Transport Geography, Elsevier, vol. 126(C).
- Cartwright, Phillip A. & Riabko, Natalija, 2015. "Measuring the effect of oil prices on wheat futures prices," Research in International Business and Finance, Elsevier, vol. 33(C), pages 355-369.
- John J Liu & Ziping Wang & Dong-Qing Yao & Xiaohang Yue, 2016. "Transaction cost analysis of supply chain logistics services: firm-based versus port-focal," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 67(2), pages 176-186, February.
- Yanhui Chen & Ailing Feng & Shun Chen & Jackson Jinhong Mi, 2024. "Forecasting the containerized freight index with AIS data: A novel information combination method based on gray incidence analysis," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(3), pages 802-815, April.
- Bosch, David & Pradkhan, Elina, 2015. "The impact of speculation on precious metals futures markets," Resources Policy, Elsevier, vol. 44(C), pages 118-134.
- del Rosal, Ignacio & Moura, Ticiana Grecco Zanon, 2022. "The effect of shipping connectivity on seaborne containerised export flows," Transport Policy, Elsevier, vol. 118(C), pages 143-151.
- Deng, Ping & Song, Lian & Xiao, Ruiqi & Huang, Chengfeng, 2022. "Evaluation of logistics and port connectivity in the Yangtze River Economic Belt of China," Transport Policy, Elsevier, vol. 126(C), pages 249-267.
- Martínez-Moya, Julián & Feo-Valero, María, 2022. "Do shippers’ characteristics influence port choice criteria? Capturing heterogeneity by using latent class models," Transport Policy, Elsevier, vol. 116(C), pages 96-105.
- Chen, Liang & Liu, Jiankun & Pei, Rongyu & Su, Zhenqing & Liu, Ziyang, 2024. "Shanghai Containerised Freight Index Forecasting Based on Deep Learning Methods: Evidence from Chinese Futures Markets," East Asian Economic Review, Korea Institute for International Economic Policy, vol. 28(3), pages 359-388, September.
- Guerrero, David & Letrouit, Lucie & Pais-Montes, Carlos, 2022. "The container transport system during Covid-19: An analysis through the prism of complex networks," Transport Policy, Elsevier, vol. 115(C), pages 113-125.
- Jian Yang & Zheng Li & Tao Wang, 2021. "Price discovery in chinese agricultural futures markets: A comprehensive look," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(4), pages 536-555, April.
- 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.
- 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.
- Li, Miao & Xiong, Tao, 2021. "Dynamic price discovery in Chinese agricultural futures markets," Journal of Asian Economics, Elsevier, vol. 76(C).
- 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.
- Ziaul Haque Munim & Hans-Joachim Schramm, 2021. "Forecasting container freight rates for major trade routes: a comparison of artificial neural networks and conventional models," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 23(2), pages 310-327, June.
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.- 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.
- Chen, Bin-xia & Sun, Yan-lin, 2022. "The impact of VIX on China’s financial market: A new perspective based on high-dimensional and time-varying methods," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
- Bingzi Jin & Xiaojie Xu, 2025. "Machine learning price index forecasts of flat steel products," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 38(1), pages 97-117, March.
- César Ducruet, 2023. "Shipping network analysis: state-of-the-art and application to the global financial crisis," Post-Print halshs-04588340, HAL.
- Dai, Yun-Shi & Huynh, Ngoc Quang Anh & Zheng, Qing-Huan & Zhou, Wei-Xing, 2022.
"Correlation structure analysis of the global agricultural futures market,"
Research in International Business and Finance, Elsevier, vol. 61(C).
- Yun-Shi Dai & Ngoc Quang Anh Huynh & Qing-Huan Zheng & Wei-Xing Zhou, 2023. "Correlation structure analysis of the global agricultural futures market," Papers 2310.16849, arXiv.org.
- Qianqian Mao & Jens-Peter Loy & Thomas Glauben & Yanjun Ren, 2023.
"Are futures markets functioning well for agricultural perishables? Evidence from China's apple futures market,"
Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 69(12), pages 471-484.
- Mao, Qianqian & Loy, Jens-Peter & Glauben, Thomas & Ren, Yanjun, 2023. "Are futures markets functioning well for agricultural perishables? Evidence from China's apple futures market," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 69(12), pages 471-484.
- Xiaojie Xu & Yun Zhang, 2022. "Commodity price forecasting via neural networks for coffee, corn, cotton, oats, soybeans, soybean oil, sugar, and wheat," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 29(3), pages 169-181, July.
- David K. Ding & Wui Boon Lim, 2024. "Lessons from the Demise of the Brent Crude Oil Futures Contract on the Singapore Exchange," JRFM, MDPI, vol. 17(6), pages 1-22, June.
- Xiaojie Xu & Yun Zhang, 2022. "Forecasting the total market value of a shares traded in the Shenzhen stock exchange via the neural network," Economics Bulletin, AccessEcon, vol. 42(3), pages 1266-1279.
- Nguyen, Phong-Nha & Kim, Hwayoung, 2024. "The effects of the COVID-19 pandemic on connectivity, operational efficiency, and resilience of major container ports in Southeast Asia," Journal of Transport Geography, Elsevier, vol. 116(C).
- Qianqian Mao & Jens-Peter Loy & Thomas Glauben & Yanjun Ren, . "Are futures markets functioning well for agricultural perishables? Evidence from China's apple futures market," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 0.
- Lu, Xinjie & Su, Yuandong & Huang, Dengshi, 2023. "Chinese agricultural futures volatility: New insights from potential domestic and global predictors," International Review of Financial Analysis, Elsevier, vol. 89(C).
- Fang, Ming & Lin, Yizhou & Chang, Chiu-Lan, 2023. "Positive and negative price bubbles of Chinese agricultural commodity futures," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 456-471.
- Ziliang Yu & Jian Yang & Robert I. Webb, 2023. "Price discovery in China's crude oil futures markets: An emerging Asian benchmark?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(3), pages 297-324, March.
- Zunxin Zheng & Gaiyan Zhang & Yingzhao Ni, 2024. "Financial regulatory arbitrage and the financialization of commodities," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(5), pages 826-853, May.
- Ruwei Zhao & Xiong Xiong & Junjun Ma & Yuzhao Zhang & Yongjie Zhang, 2025. "Baidu News and the return volatility of Chinese commodity futures: evidence for the sequential information arrival hypothesis," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-24, December.
- Bingzi Jin & Xiaojie Xu, 2025. "Forecasts of coking coal futures price indices through Gaussian process regressions," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 38(1), pages 203-217, March.
- Yamamoto, Shuhei & Janzen, Joseph P. & Serra, Teresa, 2024. "Autopsy of a futures market failure: Japan’s Dojima rice futures in the early 21st century," Food Policy, Elsevier, vol. 128(C).
- Mensi, Walid & El Khoury, Rim & Al-Kharusi, Sami & Kang, Sang Hoon, 2024. "Extreme dynamic connectedness and hedging strategy across commodity, bond, currency, and stock markets: Evidence from Asian Pacific, Canada, Mexico, and US countries," International Review of Economics & Finance, Elsevier, vol. 96(PA).
- Xiaojie Xu & Yun Zhang, 2023. "Steel price index forecasting through neural networks: the composite index, long products, flat products, and rolled products," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 36(4), pages 563-582, December.
More about this item
Keywords
NCFI; futures market; sustainable shipping; RNN–GRU; machine learning;All these keywords.
Statistics
Access and download statisticsCorrections
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:17:y:2025:i:10:p:4655-:d:1659101. 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.