Old ideas may still be new: a system identification approach to tanker freight modelling

Dikos, George; Marcus, Henry S.; Papadatos, Martsin Panagiotis

doi:10.1002/sres.787

Cited by 3 publications

(1 citation statement)

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“…Price changes affect trading volume. Dikos et al [60], based on Dikos' doctoral thesis, tried to model a structural relationship of supply and demand type. They examined tanker rates, 1980-2002, by using GARCH and EGARCH.…”

Section: A M Goulielmosmentioning

confidence: 99%

Maritime Economic Modeling: A Survey, 2006-2016

Γουλιέλμος¹

2018

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We surveyed quite a number of papers (~60), where one third of them belonged to maritime economic dynamic systems, meaning multi variable models. The emphasis we placed was on works published the last 11 years or so (2006-2016). In addition, we provided a general picture of maritime economic research from 1973 to 2013. The survey had to be combined with advances in General Econometrics. As a result and despite long delays maritime economists (Glen et al. [1] applied the VAR-vector autoregressive (1987-1988) model due to Sims [2]. But this was not the only one as co-integration [3] [4] dominated the scene given that SEM-simultaneous equations model had defects in relation to exogenous variables. Moreover, VEC-the vector error correction model and a representation of VAR appeared based on Granger's representation theorem. The models for 2006-2016 were 36 including 5 for maritime futures after 2003 and 7 on forecasting (2003-2016). A description of a shipping cycle has been given with the presence of time.

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Section: A M Goulielmosmentioning

confidence: 99%