Chaos theory: forecasting the freight rate of an oil tanker

Eleftherios I. Thalassinos, Mike P. Hanias, Panayiotis G. Curtis and Yannis E. Thalassinos
Authors registered in the RePEc Author Service: El I. Thalassinos ()

International Journal of Computational Economics and Econometrics, 2009, vol. 1, issue 1, 76-88

Abstract: The main aim of this paper is to predict the Aframax tanker charter rate index by using methods from non-linear analysis especially from chaos theory as is the method of false nearest neighbours (FNN). This is the result of the new emerging field of econo-physics which mainly consists of autonomous physico-mathematical models that have been already applied to the financial markets and now in particular aspects of the complex non-linear dynamics of several maritime indices such as the time charter rate of an Aframax tanker.

Keywords: chaos theory; strange attractors; shipping indices prediction; freight rates; oil tankers; Aframax tanker charter rate index; false nearest neighbours; FNN. (search for similar items in EconPapers)
Date: 2009
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Citations: View citations in EconPapers (22)

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Persistent link: https://EconPapers.repec.org/RePEc:ids:ijcome:v:1:y:2009:i:1:p:76-88

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