
Study of cross-correlation in a self-affine time series of taxi accidents
2011; Elsevier BV; Volume: 390; Issue: 9 Linguagem: Inglês
10.1016/j.physa.2010.12.038
ISSN1873-2119
AutoresGilney Figueira Zebende, Priscila Andrade da Silva, Aloísio Machado da Silva Filho,
Tópico(s)Financial Risk and Volatility Modeling
ResumoWe study in this paper the cross-correlation between self-affine time series of real variables recorded simultaneously in cases of taxi accidents. For this purpose, we apply the DCCA method and show that the cross-correlation can be divided into three distinct groups, if we look for the detrended covariance function, i.e., long-range cross-correlations, short-range cross-correlations and no cross-correlations. Finally, it will be seen that the detrended covariance function is robust, if compared with other methods, in identifying these types of cross-correlations.
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