Highly Interconnected Subsystems of the Stock Market

John Idicula ()
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John Idicula: Netz Informatics, http://individual.utoronto.ca/idicula/

No 04-17, Working Papers from NET Institute

Abstract: The stock market is a complex system that affects economic and financial activities around the world. Analysis of stock price data can improve our understanding of the past price movements of stocks. In this work, we develop a method to determine the highly interconnected subsystems of the stock market. Our method relies on a k-core decomposition scheme to analyze large networks. Our approach illustrates that the stock market is a nearly decomposable system which comprises hierarchic subsystems. This work also presents results from the analysis of a network derived from a large data set of stock prices. This network analysis technique is a new promising approach to analyze and classify stocks based on price interactions and to decompose the complex system embodied in the stock market.

Pages: 16 pages
Date: 2004-12, Revised 2004-12
New Economics Papers: this item is included in nep-cmp, nep-fmk and nep-mst
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