THE BEHAVIOR OF A THRESHOLD MODEL OF MARKET PRICE IN STOCK EXCHANGE
Abstract
We analyze the behavior of deterministic threshold dynamics in a model of stock market. We observe global trends in the virtual market prices and find a kind of phase transition. At the critical region, the macroscopic variable of stock market price shows seemingly stochastic fluctuation with f-2 power spectrum consistent with real economic fluctuations. The maximum Lyapunov exponent is estimated to be slightly positive in short time steps (5 or 10 steps) and, as the observation time becomes longer, it converges to zero. This result indicates that the system is at the edge of chaos.
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