Showing 1 - 10 of 30
This paper introduces a multiscale multifractal diffusion entropy analysis (MMDEA) method to analyze long-range correlation then applies this method to stock index series. The method combines the techniques of diffusion process and Rényi entropy to focus on the scaling behaviors of stock index...
Persistent link: https://www.econbiz.de/10011117864
The celebrated Black-Scholes differential equation provides for the price of a financial derivative. The uncertainty environment of such option price can be described by the classical ‘bit’: a system with two possible states. This paper argues for the introduction of a different uncertainty...
Persistent link: https://www.econbiz.de/10011061471
Using the price change and the log return of 10 stock market indices, we examine the temporal evolution of the time scale. The 10 stock markets had similar properties. Their log-return time series had patterns and long-range correlations until the mid-1990s. In the 2000s, however, the long-range...
Persistent link: https://www.econbiz.de/10010588708
The provision of the goods and services of a modern economy is controlled by a multiplicity of financial instruments. The basic properties of these instruments are considered here.
Persistent link: https://www.econbiz.de/10010589876
We study the roles of life process in cooperation in spatial prisoner’s dilemma games. We assume each individual to have a finite lifetime which is correlated with its current fitness. The correlation is controlled by a free parameter w. Simulation results show that the dynamical changing of...
Persistent link: https://www.econbiz.de/10010591448
Self-organized criticality (SOC) has been claimed to play an important role in many natural and social systems. In the present work we empirically investigate the relevance of this theory to stock-market dynamics. Avalanches in stock-market indices are identified using a multi-scale...
Persistent link: https://www.econbiz.de/10010871560
Approximation theory suggests that series expansions and projections represent standard tools for random process applications from both numerical and statistical standpoints. Such instruments emphasize the role of both sparsity and smoothness for compression purposes, the decorrelation power...
Persistent link: https://www.econbiz.de/10010873605
structures. In a recent paper the capability of wavelets to unmask a message, in cases where a chaotic signal is just added to … with the chaotic signal, is studied here. A representative case employing Daubechies wavelets and a typical Rossler …-oscillator-based communication system is reported. Using a time scaling parameter modifies the spectrum of the mask. The results show that wavelets …
Persistent link: https://www.econbiz.de/10010874519
We present a multiscale signal analysis based on the multifractal spectrum obtained by the Wavelet Transform Modulus Maxima technique. We analyze time series from turbulent data: the first step is to obtain the PDF of the flutuations for velocities records and then to fit them by means of the...
Persistent link: https://www.econbiz.de/10011057480
This paper deals with the automatic detection of slight parameter changes from the analysis of signals generated by nonlinear biological systems. The interest is focused here on investigating particular aspects of the relation between signal analysis and systems dynamics, involving the automatic...
Persistent link: https://www.econbiz.de/10011057808