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November Edition 2017

International Journal of Applied Information Systems solicits high quality original research papers for the November 2017 Edition of the journal. The last date of research paper submission is October 16, 2017.

Computer Simulation of Chaotic Systems

T. K. Genger, T. J. Anande, S. Al-Shehri. Published in Information Systems

International Journal of Applied Information Systems
Year of Publication: 2017
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors: T. K. Genger, T. J. Anande, S. Al-Shehri
10.5120/ijais2017451605
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  1. T K Genger, T J Anande and S Al-Shehri. Computer Simulation of Chaotic Systems. International Journal of Applied Information Systems 12(1):1-8, April 2017. URL, DOI BibTeX

    @article{10.5120/ijais2017451605,
    	author = "T. K. Genger and T. J. Anande and S. Al-Shehri",
    	title = "Computer Simulation of Chaotic Systems",
    	journal = "International Journal of Applied Information Systems",
    	issue_date = "April 2017",
    	volume = 12,
    	number = 1,
    	month = "Apr",
    	year = 2017,
    	issn = "2249-0868",
    	pages = "1-8",
    	url = "http://www.ijais.org/archives/volume12/number1/978-2017451605",
    	doi = "10.5120/ijais2017451605",
    	publisher = "Foundation of Computer Science (FCS), NY, USA",
    	address = "New York, USA"
    }
    

Abstract

This paper is about the implementation of a software tool to aid the study of chaos theory in the the context of the financial or commodities markets. The main focus of this paper is simulating the movement of oil prices in an attempt to identity chaos when it exists. Models implemented represent certain economically realistic aspects of the oil market. Tests for chaos (Lyapunov exponent test) will be conducted on these models, an attempt will be made to test for chaos in the movement of the price of oil dated from 2006 to 2016. The models implemented here are nonlinear models with the potential of exhibiting chaos for certain parameter values. Shocks will be introduced into the models and their effect on the models will be noted and visualized through the use of a time series or graphs. An Object oriented programming language (Java) was used in building this application, MYSQL database was used to save the data generated by the models and the spiral software development life-cycle was used in structuring, planning and controlling the process of building this application.

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Keywords

Shocks, Demand & Supply, Mean Reversion, logistic Map, Nonlinear