Dissecting Multifractal detrended cross-correlation analysis

Battle Count: 60

The proposed methods can be valuable for analyzing cross-correlations in financial time series, particularly for commodity markets like sugar and ethanol

While the authors provide source code, implementing and correctly applying these methods may require significant expertise in time series analysis and multifractal methods

Authors provide source code in C, R and Python, enhancing reproducibility