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A major application of rescaled adjusted range analysis (RS analysis) is the study of price fluctuations in financial markets. There, the value of the Hurst constant, H, in a time series may be interpreted as an indicator of the irregularity of the price of a commodity, currency or similar...
Persistent link: https://www.econbiz.de/10010310063
A major application of rescaled adjusted range analysis (RS analysis) is the study of price fluctuations in financial markets. There, the value of the Hurst constant, H, in a time series may be interpreted as an indicator of the irregularity of the price of a commodity, currency or similar...
Persistent link: https://www.econbiz.de/10010983426
Persistent link: https://www.econbiz.de/10005184571
Persistent link: https://www.econbiz.de/10005184576
Persistent link: https://www.econbiz.de/10012180698
An algorithm for calculating generalized fractal dimension of a time series using the general information function is presented. The algorithm is based on a strings sort technique and requires O(Nlog2N) computations. A rough estimate for the number of points needed for the fractal dimension...
Persistent link: https://www.econbiz.de/10010873474
We demonstrate that the methods of signal (time series) analysis developed in nonlinear and symbolic dynamics when applied to financial data in Econophysics give new possibilities of interpretation of those data. Analogies with interpretation of biosignals in Medical Physics may be observed....
Persistent link: https://www.econbiz.de/10010590499
Processes with long-range dependence (LRD) have gained wide applications in many fields of science and technologies ranging from hydrology to network traffic. Two key properties of such processes are LRD that is characterized by the Hurst parameter H and self-similarity (SS) that is measured by...
Persistent link: https://www.econbiz.de/10010590734
In the paper the authors propose an alternative way of assessing fractional dimension of time series. This fractional dimension, called fractal dimension, determines how the time series fills its space. It is used, e.g., to characterise series of stock exchange data, for the sake of fray degree....
Persistent link: https://www.econbiz.de/10008777202
Complexity is one of the most important characteristic properties of the economic behaviour. The new field of knowledge called Chaotic Dynamic Economics born precisely with the objective of understanding, structuring and explaining in an endogenous way such complexity. In this paper, and after...
Persistent link: https://www.econbiz.de/10011273021