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Thinking outside the container : a machine learning approach to forecasting trade flows
Stamer, Vincent - 2021
Global container ship movements may reliably predict global trade flows. Aggregating both movements at sea and port call events produces a wealth of explanatory variables. The machine learning algorithm partial least squares can map these explanatory time series to unilateral imports and...
Persistent link: https://www.econbiz.de/10012422743
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Looking into the future ten years later : big full containerships and their arrival to South American ports
Sánchez, Ricardo J.; Perrotti, Daniel E.; Paz Fort, … - In: Journal of shipping and trade 6 (2021), pp. 1-20
Since 2006, when the Emma Maersk broke into the world of shipping, the growth in containership size has remained a continuous trend.For the last 14 years, since 2006, the enlargement of fullcontainerships size has remained a continuous trend since Emma Maersk broke into the world of shipping....
Persistent link: https://www.econbiz.de/10012544202
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The public value of improving a weather forecasting system in Korea : a choice experiment study
Park, Sun-Young; Yoo, Seung-hoon - In: Applied economics 50 (2018) 14, pp. 1644-1658
Persistent link: https://www.econbiz.de/10011848830
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Forecasting container shipping freight rates for Far East - Northern Europe trade lines
Munim, Ziaul Haque; Schramm, Hans-Joachim - In: Maritime economics & logistics : a quarterly scientific … 19 (2017) 1, pp. 106-125
Persistent link: https://www.econbiz.de/10011731675
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Forecasting COVID-19 impact on RWI/ISL container throughput index by using SARIMA models
Koyuncu, Kaan; Tavacioğlu, Leyla; Gökmen, Neslihan; … - In: Maritime policy & management 48 (2021) 8, pp. 1096-1108
Persistent link: https://www.econbiz.de/10012804327
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Long-term container throughput forecast and equipment planning : the case of Bangkok Port
Veerachai Gosasang; Yip, Tsz Leung; Watcharavee … - In: Maritime business review 3 (2018) 1, pp. 53-69
Persistent link: https://www.econbiz.de/10012255783
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Forecasting seasonal container throughput at international ports using SARIMA models
Farhan, Javed; Ong, Ghim Ping - In: Maritime economics & logistics : a quarterly scientific … 20 (2018) 1, pp. 131-148
Persistent link: https://www.econbiz.de/10011880271
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Failure prediction in the Russian bank sector with logit and trait recognition models
Lanine, Gleb (contributor); Vander Vennet, Rudi (contributor) - 2005
Persistent link: https://www.econbiz.de/10003150981
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Modelling and forecasting national introduction times for successive generations of mobile telephony
Meade, Nigel; Islam, Towhidul - In: Telecommunications policy : the international journal … 45 (2021) 3, pp. 1-16
Persistent link: https://www.econbiz.de/10012614758
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Transportation infrastructure and analyst earnings forecasts : evidence from high-speed rails in china
Gong, Manning; Luo, Jin-hui - In: Emerging markets, finance & trade : a journal of the … 58 (2022) 4, pp. 1125-1136
Persistent link: https://www.econbiz.de/10013167071