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Quantifying and Modeling Long-Range Cross-Correlations in Multiple Time Series with Applications to World Stock Indices
matrix theory quantify risk international investment managers
2011/3/23
We propose a modified time lag random matrix theory in order to study time lag cross-correlations in multiple time series. We apply the method to 48 world indices, one for each of 48 different countri...
Quantifying and Modeling Long-Range Cross-Correlations in Multiple Time Series with Applications to World Stock Indices
time series quantify risk international investment managers
2011/3/23
We propose a modified time lag random matrix theory in order to study time lag cross-correlations in multiple time series. We apply the method to 48 world indices, one for each of 48 different countri...