# Eigen-entropy measure to study phase separation in market behavior

@article{Chakraborti2019EigenentropyMT, title={Eigen-entropy measure to study phase separation in market behavior}, author={A. Chakraborti and Hrishidev and K. Sharma and Hirdesh K. Pharasi}, journal={arXiv: Statistical Finance}, year={2019} }

One of the spectacular examples of a complex system is the financial market, which displays rich correlation structures among price returns of different assets. The eigenvalue decomposition of a correlation matrix into partial correlations - market, group and random modes, enables identification of dominant stocks or "influential leaders" and sectors or "communities". The correlation-based network of leaders and communities changes with time, especially during market events like crashes… Expand

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