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Transportation Letters
The International Journal of Transportation Research
Volume 10, 2018 - Issue 6
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Research Paper

Long memory and scaling behavior study of bulk freight rate volatility with structural breaks

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Anoop K P & Vinay V. Panicker. (2022) Multimodal transportation planning with freight consolidation and volume discount on rail freight rate. Transportation Letters 14:3, pages 227-244.
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Articles from other publishers (6)

Naima Saeed, Su Nguyen, Kevin Cullinane, Victor Gekara & Prem Chhetri. (2023) Forecasting container freight rates using the Prophet forecasting method. Transport Policy 133, pages 86-107.
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Christos Katris & Manolis G. Kavussanos. (2021) Time series forecasting methods for the Baltic dry index. Journal of Forecasting 40:8, pages 1540-1565.
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Xiwen Bai. (2021) Tanker freight rates and economic policy uncertainty: A wavelet-based copula approach. Energy 235, pages 121383.
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Wei Xiao, Chuan Xu, Hongling Liu & Xiaobo Liu. (2021) A Hybrid LSTM-Based Ensemble Learning Approach for China Coastal Bulk Coal Freight Index Prediction. Journal of Advanced Transportation 2021, pages 1-23.
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Wei Xiao, Mi Gan, Hongling Liu & Xiaobo Liu. (2020) Modeling and Prediction of the Volatility of the Freight Rate in the Roadway Freight Market of China. Mathematical Problems in Engineering 2020, pages 1-15.
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Junlin Liu & Feier Chen. (2018) Asymmetric volatility varies in different dry bulk freight rate markets under structure breaks. Physica A: Statistical Mechanics and its Applications 505, pages 316-327.
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