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Power-law autocorrelated stochastic processes with long-range cross-correlations

B. Podobnik, D. F. Fu (), H. E. Stanley and P. Ch. Ivanov ()

The European Physical Journal B: Condensed Matter and Complex Systems, 2007, vol. 56, issue 1, 47-52

Abstract: We develop a stochastic process with two coupled variables where the absolute values of each variable exhibit long-range power-law autocorrelations and are also long-range cross-correlated. We investigate how the scaling exponents characterizing power-law autocorrelation and long-range cross-correlation behavior in the absolute values of the generated variables depend on the two parameters in our model. In particular, if the autocorrelation is stronger, the cross-correlation is also stronger. We test the utility of our approach by comparing the autocorrelation and cross-correlation properties of the time series generated by our model with data on daily returns over ten years for two major financial indices, the Dow Jones and the S&P500, and on daily returns of two well-known company stocks, IBM and Microsoft, over five years. Copyright EDP Sciences/Società Italiana di Fisica/Springer-Verlag 2007

Keywords: 89.90.+n Other topic in areas of applied and interdisciplinary physics; 05.45.Tp Time series analysis; 05.40.Fb Random walks and Levy flights (search for similar items in EconPapers)
Date: 2007
References: View complete reference list from CitEc
Citations: View citations in EconPapers (53)

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DOI: 10.1140/epjb/e2007-00089-3

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