Predictability and unpredictability in financial markets
Physica D - Special issue originating from the 18th Annual International Conference of the Center for Nonlinear Studies, Los Alamos, NM, May 11&mdash ;15, 1998
Theory and Applications of Fractional Differential Equations, Volume 204 (North-Holland Mathematics Studies)
On linear stability of predictor-corrector algorithms for fractional differential equations
International Journal of Computer Mathematics
The Grünwald-Letnikov method for fractional differential equations
Computers & Mathematics with Applications
Analysis of nonlinear dynamics and chaos in a fractional order financial system with time delay
Computers & Mathematics with Applications
Transient chaos in fractional Bloch equations
Computers & Mathematics with Applications
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In this paper, a simple parameter switching (PS) methodology is proposed for sustaining the stable dynamics of a fractional-order chaotic financial system. This is achieved by switching a controllable parameter of the system, within a chosen set of values and for relatively short periods of time. The effectiveness of the method is confirmed from a computer-aided approach, and its applications to chaos control and anti-control are demonstrated. In order to obtain a numerical solution of the fractional-order financial system, a variant of the Grunwald-Letnikov scheme is used. Extensive simulation results show that the resulting chaotic attractor well represents a numerical approximation of the underlying chaotic attractor, which is obtained by applying the average of the switched values. Moreover, it is illustrated that this approach is also applicable to the integer-order financial system.