UNSUPERVISED LEARNING II: NETWORK THEORY

2026

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AI-generated summary

1) This document explores how network theory can be applied to financial markets to better understand complex interdependencies, systemic risk, and inform investment strategies.
2) * Explains the fundamental concepts of network theory, including nodes, edges, and different types of network structures.
* Details various centrality measures (degree, betweenness, closeness, eigenvector) and community detection algorithms for analyzing financial networks.
* Discusses applications of network theory in portfolio construction, market prediction, and systemic risk assessment.
3) Network Theory, Financial Markets, Systemic Risk, Portfolio Construction, Centrality Measures

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