A perspective on complex networks in the stock market

Abstract

A stock market is a complex system consisting of many interacting agents. We consider recent progress with complex networks constructed from cross-correlation of financial time series in the stock market. We review some methods and discuss the challenges in generating such complex networks that have a reasonable threshold.