Reconstructing the Emergent Organization of Information Flows in International Stock Markets: A Computational Complex Systems Approach

In this paper we study the interdependences between the dynamics of the stock market indexes of 30 different stock markets across 29 different countries to analyze the nonlinear dynamics of their information flows. We find that the system exhibits complex dynamic properties that go beyond what has been generally found in the previous literature, suggesting that the structure of information flows is regulated by subtle homeostatic forces that cause the roles of the single markets in the whole network to evolve in unexpected ways. We present a toolkit of ANN-based methods that can be systematically deployed to analyze different aspects of such dynamics.

Automated summary

This paper studies the interdependences between stock market indexes in 30 different countries, revealing complex dynamic properties not previously found in existing literature. A toolkit of ANN-based methods is presented for analyzing various aspects of these dynamics.