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The implications of chaos theory on Bucharest stock exchange

Author

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  • Felicia Ramona BIRAU

    (UNIVERSITY OF CRAIOVA FACULTY OF ECONOMICS AND BUSINESS ADMINISTRATION, CRAIOVA, ROMANIA)

Abstract

Chaos theory has generated a conceptual revolution regarding the analysis of capital markets. In general, capital market is an exciting and suitable field to apply chaos theory. Through its fundamental characteristics, an emerging capital market such as Bucharest Stock Exchange is even more appropriate. A chaotic system, as it is an emerging capital market presents certain characteristics such as : unpredictability, instability, disorder, noise and multiple vulnerabilities. By its very complex structure, an emerging capital market is a chaotic system. Chaos represents a state of complex, unpredictable, nonlinear dynamics. A chaotic system appears to be random when in fact is an evolved form of order. Chaos theory provides an explanation for the fact that complex and unpredictable results occur in dynamic systems behaviour due to seemingly insignificant changes in initial conditions.

Suggested Citation

  • Felicia Ramona BIRAU, 2012. "The implications of chaos theory on Bucharest stock exchange," Anale. Seria Stiinte Economice. Timisoara, Faculty of Economics, Tibiscus University in Timisoara, vol. 0, pages 36-41, May.
  • Handle: RePEc:tdt:annals:v:xviii:y:2012:p:36-41
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    File URL: http://fse.tibiscus.ro/RePEc/tdt/annals/pdf/004.pdf
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    References listed on IDEAS

    as
    1. Jonathan Blackledge & Kieran Murphy, 2011. "Currency Trading Using the Fractal Market Hypothesis," Chapters, in: Giancarlo Nota (ed.), Risk Management Trends, IntechOpen.
    2. Linda P. Beckerman, 2000. "Application of complex systems science to systems engineering," Systems Engineering, John Wiley & Sons, vol. 3(2), pages 96-102.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    chaos theory; random; determinism; initial conditions; chaotic time series; emerging capital markets;
    All these keywords.

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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