We analyzed six stock exchange markets through the nonlinear dynamics concept. We used daily data from the Toronto Stock Exchange, NYSE, London Stock Exchange, Hong Kong Stock Market, Tokyo Stock Exchange, and the Singapore Stock Exchange. The period studied is from January 1, 1988 to June 30,...

Advances in Physics and Mathematics have proven that our complex world does not obey anymore the standard linear modelling systems rules. This paradigm seems to take over much of the scientific research in all sciences. Psychologists, no matter what their orientation is, are striving to create...

This paper applies non linear methods to analyze and predict the daily open S&P index which is one of the most important stock index in the world .The aim of the analysis is to quantitatively show if the corresponding time series is a deterministic chaotic one and if one or more days ahead...

We have a very strong intuition and a very strong feeling that we, as human beings, generally have freedom of the will and freedom of the action. It seems that in most situations we can do this or that; namely, we can do action A or we can refrain from doing action A under the same conditions....

This article validates the chaotic behavior in the Argentinean, Brazilian, Canadian, Chilean, American, Peruvian and Mexican Stock Markets using the Merval, Bovespa, S&P TSX Composite, IPSA, IGPA, S&P 500, Dow Jones Industrials, Nasdaq, IGBVL and IPC Stock Indexes respectively. The results of...

The article gives an account of a recent attempt to rebuild economics along the lines of increasing returns. The current orthodoxy is criticised for overemphasizing the role of decreasing returns. For the sake of analytical rigor economists sacrifice a correct picture of the modern world, say...

The article approaches the modelling and simulation of risks in the training of the human resources, as well as the forecast of the degree of human resources training impacted by risks by applying the mathematical tools offered by the Chaos Theory and mathematical statistics. We will highlight...

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...

A unique technique based on chaos theory and artificial neural networks (ANN) is developed to analyse and forecast chaotic time series. An embedding theorem is used to determine the embedding parameters. Accordingly the chaotic time series is reconstructed into phase space points. Based on chaos...