한국항해항만학회지 (Journal of Navigation and Port Research)

  • 제42권5호
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  • Pages.341-346
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  • 2018
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  • 1598-5725(pISSN)
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  • 2093-8470(eISSN)
한국항해항만학회 (Korean Institute of Navigation and Port Research)
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Supramax Bulk Carrier Market Forecasting with Technical Indicators and Neural Networks

  • Lim, Sang-Seop (Division of Shipping Management, Korea Maritime and Ocean University) ;
  • Yun, Hee-Sung (Centre for Shipping Big Data Analytics, Korea Maritime Institute)
  • 투고 : 2018.09.11
  • 심사 : 2018.09.10
  • 발행 : 2018.10.31
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초록

Supramax bulk carriers cover a wide range of ocean transportation requirements, from major to minor bulk cargoes. Market forecasting for this segment has posed a challenge to researchers, due to complexity involved, on the demand side of the forecasting model. This paper addresses this issue by using technical indicators as input features, instead of complicated supply-demand variables. Artificial neural networks (ANN), one of the most popular machine-learning tools, were used to replace classical time-series models. Results revealed that ANN outperformed the benchmark binomial logistic regression model, and predicted direction of the spot market with more than 70% accuracy. Results obtained in this paper, can enable chartering desks to make better short-term chartering decisions.

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참고문헌

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