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Computer Simulation of Chaotic Systems

by T. K. Genger, T. J. Anande, S. Al-Shehri
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International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 12 - Number 1
Year of Publication: 2017
Authors: T. K. Genger, T. J. Anande, S. Al-Shehri
10.5120/ijais2017451605

T. K. Genger, T. J. Anande, S. Al-Shehri . Computer Simulation of Chaotic Systems. International Journal of Applied Information Systems. 12, 1 ( Apr 2017), 1-8. DOI=10.5120/ijais2017451605

@article{ 10.5120/ijais2017451605,
author = { T. K. Genger, T. J. Anande, S. Al-Shehri },
title = { Computer Simulation of Chaotic Systems },
journal = { International Journal of Applied Information Systems },
issue_date = { Apr 2017 },
volume = { 12 },
number = { 1 },
month = { Apr },
year = { 2017 },
issn = { 2249-0868 },
pages = { 1-8 },
numpages = {9},
url = { https://www.ijais.org/archives/volume12/number1/978-2017451605/ },
doi = { 10.5120/ijais2017451605 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T19:07:49.374632+05:30
%A T. K. Genger
%A T. J. Anande
%A S. Al-Shehri
%T Computer Simulation of Chaotic Systems
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 12
%N 1
%P 1-8
%D 2017
%I Foundation of Computer Science (FCS), NY, 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.

References
  1. The Traders’ Glossary of technical terms and topics, 2008.
  2. Bahram Adrangi, Arjun Chatrath, Kanwalroop Kathy Dhanda, and Kambiz Raffiee. Chaos in oil prices? evidence from futures markets. Energy Economics, 23(4):405 – 425, 2001.
  3. Eme Akpan. Oil Price Shocks and Nigeria’s Macro Economy. PhD thesis, University of Ibadan, Nigeria., 2006.
  4. A.Wolf, J. Swift, H. Swinney, and J. Vastano. Determining Lyapunov Exponents from a Time Series. Physica D: Nonlinear Phenomena, 16(3):285–317, jul 1985.
  5. M.P. Baker, E.S. Mayfield, and J.E. Parsons. Alternative models of uncertain commodity prices. Energy Journal, 19:115–148, January 1998.
  6. Hendrik (. Bessembinder, Jay F. Coughenour, Margaret Monroe Smoller, and Paul J. Seguin. Mean Reversion in Equilibrium Asset Prices: Evidence from the Futures Term Structure. SSRN eLibrary, 1993.
  7. Glenn Elert. Measuring chaos, 2007.
  8. James Gleick. Chaos: Making a new science. Viking, 1987.
  9. J. Orlin Grabbe. International Financial Markets. Pearson US Imports & PHIPEs, third edition, June 1995.
  10. Peter Grassberger and Itamar Procaccia. Measuring the strangeness of strange attractors. Physica D: Nonlinear Phenomena, 9(12):189 – 208, 1983.
  11. David A Hsieh. Chaos and nonlinear dynamics: application to financial markets. The journal of finance, 46(5):1839– 1877, 1991.
  12. David A Hsieh. Chaos and nonlinear dynamics: Application to financial markets. Journal of Finance, 46(5):1839– 77, December 1991.
  13. Roger Kubarych. How oil shocks affect markets. The International Economy, 2005.
  14. D.G. Laughton and H.D. Jacoby. The effects of reversion on commodity projects of different length. Real Options in Capital Investments: Models, Strategies, and Aplications, pages 185–205, 1995.
  15. Lorcan Mac Manus. Oil price cycle and sensitivity model, 2009.
  16. Masoud Mirmomeni and William Punch. Co-evolving data driven models and test data sets with the application to forecast chaotic time series. In 2011 IEEE Congress of Evolutionary Computation (CEC), pages 14–20. IEEE, 2011.
  17. OECD. Spot price, 2001.
  18. Alper O¨ zu¨n. Modeling chaotic behaviours in financial markets. 2006.
  19. T. Michael Rosenstein, J. James Collins, and J. Carlo De Luca. A practical method for calculating largest lyapunov exponents from small data sets. Phys. D, 65(1- 2):117–134, may 1993.
  20. Ziauddin Sardar and Iwona Abrams. Introducing chaos: A graphic guide. Icon Books Ltd, 2014.
  21. J. C. Sprott and G. Rowlands. Improved correlation dimension. International Journal of Bifurcation and Chaos, 11:1865–1880, 2000.
Index Terms

Computer Science
Information Sciences

Keywords

Shocks Demand & Supply Mean Reversion logistic Map Nonlinear

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