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Data-driven financial and operational risk management: Empirical evidence from the global tramp shipping industry. (2022). Bai, Xiwen ; Cheng, Liangqi ; Iris, Aatay.
In: Transportation Research Part E: Logistics and Transportation Review.
RePEc:eee:transe:v:158:y:2022:i:c:s1366554522000151.

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Cited: 11

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  2. Maritime Fuel Price Prediction of European Ports using Least Square Boosting and Facebook Prophet: Additional Insights from Explainable Artificial Intelligence. (2024). Ghosh, Indranil ; De, Arijit.
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  3. Financing a dual capital-constrained supply chain: Profit enhancement and diffusion effect of default risk. (2024). Xu, Xun ; Xie, Xiaofeng ; Chen, Xiangfeng ; Gu, Jing.
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  7. Performance Evaluation of the Efficiency of Logistics Companies with Data Envelopment Analysis Model. (2023). Lam, Weng Siew ; Lee, Pei Fun.
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  9. An innovative tool for cost control under fragmented scenarios: The container freight index microinsurance. (2023). Xiang, Zhiyuan ; Wang, Xuanhe ; Yang, MO ; Kuang, Haibo ; Yu, Fangping.
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  10. Prospects for improving shipping companies’ profit margins by quantifying operational strategies and market focus approach through AIS data. (2022). Bai, Xiwen ; Peng, Wenhao.
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  11. A hedging policy for seaborne forward freight markets based on probabilistic forecasts. (2022). Minner, Stefan ; Sel, Burakhan.
    In: Transportation Research Part E: Logistics and Transportation Review.
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