Modeling the Dry Bulk Shipping Market using macroeconomic factors in addition to shipping market parameters via artificial neural networks
Year of publication: |
2014
|
---|---|
Authors: | Lyridis, Dimitrios V. ; Manos, Nikolaos D. ; Zacharioudakis, Panayotis G. |
Published in: |
International journal of transport economics : IJTE. - Pisa [u.a.] : Serra, ISSN 0391-8440, ZDB-ID 165281-3. - Vol. 41.2014, 2, p. 231-253
|
Subject: | Theorie | Theory | Neuronale Netze | Neural networks | Massengutschifffahrt | Dry bulk shipping | Frachtrate | Freight rate | Welt | World | Prognoseverfahren | Forecasting model | Frachtschifffahrt | Cargo shipping |
-
Dry bulk shipping flows to 2050 : delphi perceptions of early career specialists
Dinwoodie, John, (2014)
-
Sentiment-augmented supply and demand equations for the dry bulk shipping market
Michail, Nektarios, (2021)
-
Testing a speculative bubble in the dry bulk shipping market : a multi-factor approach
Cocconcelli, Luca, (2016)
- More ...
-
Liner shipping cycle cost modelling, fleet deployment optimization and what-if analysis
Zacharioudakis, Panayotis G., (2011)
-
The reasons and the policy instruments behind cabotage policies
Casaca, Ana Cristina Paixão, (2021)
-
The Dynamics of Short Sea Shipping : New Practices and Trends
Papadimitriou, Stratos, (2018)
- More ...