RT Journal Article SR Electronic T1 Do Stocks Stalk Other Stocks in Their Complex Network? A Complex Networks Approach to Stock Market Dynamics JF The Journal of Financial Data Science FD Institutional Investor Journals SP 35 OP 54 DO 10.3905/jfds.2019.1.2.035 VO 1 IS 2 A1 Koushik Balasubramanian A1 Harish Sundaresh A1 Diqing Wu A1 Kevin Kearns YR 2019 UL https://pm-research.com/content/1/2/35.abstract AB This article presents a complex network approach to analyze the dynamics of the US stock market. The authors first introduce a machine learning technique to learn a latent space representation of the financial instruments using a complex networks approach to analyze the dynamics of the stock market. They show that the clustering of co-moving assets and breaking of already existing clusters have interesting connections to regime changes in the market. The authors also present some preliminary ideas on incorporating the effects of news and announcements in the dynamics of the assets.TOPICS: Big data/machine learning, security analysis and valuation