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.