The structure of world-stock-market network resembles geographical ties

In a recent paper, we studied 40 stock markets from top GDP countries to analyse the correlations and connections between them. As expected, we did observe strong correlations between ups and downs of these markets at the global level. However, when using Random Matrix Theory we detected the sub-communities of this global network, we realisedContinue reading “The structure of world-stock-market network resembles geographical ties”