Abstract
Modelling and forecasting port traffic are of major importance for the shipping industry. Existence of chaos implies that while long term forecasting is vain, reliable short-term forecasting would be possible. The objective of this research is to uncover the nonlinear dynamics and chaotic behavior of the liquid bulk cargo shipping, using monthly data from January 1992 to March 2013 for the Spanish seaports. For this purpose, in first instance we remove any linear dependence by means of the Box-Jenkins approach. Afterwards we analyzed the existence of nonlinearity and chaotic behavior by applying the BDS and the Lyapunov test respectively. Our findings suggest that although there has been found a dominant nonlinear structure underlying the dynamics of the liquid bulk traffic, determinism cannot be assumed and hence chaos cannot be inferred. These results are especially relevant for modeling and forecasting of maritime traffic, specifically for liquid bulk cargo, and for the design and evaluation of public policies related to the investment planning and management of port system.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
