arXiv · 0709.0281
Detrended Cross-Correlation Analysis: A New Method for Analyzing Two Non-stationary Time Series
Abstract
Here we propose a method, based on detrended covariance which we call detrended cross-correlation analysis (DXA), to investigate power-law cross-correlations between different simultaneously-recorded time series in the presence of non-stationarity. We illustrate the method by selected examples from physics, physiology, and finance.
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
Boris Podobnik, H. Eugene Stanley. 2007-09-03. Detrended Cross-Correlation Analysis: A New Method for Analyzing Two Non-stationary Time Series. https://doi.org/10.1103/physrevlett.100.084102
Cite the original work for its findings. Save a collection to share your selection of sources.