Paper
11 March 2022 ARMA model based on big data is used to study China's coastal coal freight rate
Lipeng Lu, Jieshu Zhang
Author Affiliations +
Proceedings Volume 12160, International Conference on Computational Modeling, Simulation, and Data Analysis (CMSDA 2021); 121601Q (2022) https://doi.org/10.1117/12.2627958
Event: International Conference on Computational Modeling, Simulation, and Data Analysis (CMSDA 2021), 2021, Sanya, China
Abstract
Based on China's coastal coal transportation market, this paper establishes ARMA model, and carries out data analysis and prediction by using China coastal coal transport price index (CBCFI). The analysis results show that the prediction accuracy of the model is high. With the increase of time, the prediction accuracy of ARMA model is also declining. Therefore, ARMA model is suitable for short-term prediction of cbcfi, so as to provide decision-making suggestions for shipping companies and shipping operators and avoid risks.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lipeng Lu and Jieshu Zhang "ARMA model based on big data is used to study China's coastal coal freight rate", Proc. SPIE 12160, International Conference on Computational Modeling, Simulation, and Data Analysis (CMSDA 2021), 121601Q (11 March 2022); https://doi.org/10.1117/12.2627958
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KEYWORDS
Data modeling

Coastal modeling

Autoregressive models

Statistical modeling

Data analysis

Error analysis

Iron

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