Topological Properties of Stock Networks Based on Random Matrix Theory in Financial Time Series

Details Topological Properties of Stock Networks Based on Random Matrix Theory in Financial Time Series Topological Properties of Stock Networks Based on Random Matrix Theory in Financial Time Series

2007-09-14

arxiv.org/abs/0709.2209v1

Economy

Quantitative Finance

Statistical Finance

8 pages, 1 figure

Scientific paper

We investigated the topological properties of stock networks through a comparison of the original stock network with the estimated stock network from the correlation matrix created by the random matrix theory (RMT). We used individual stocks traded on the market indices of Korea, Japan, Canada, the USA, Italy, and the UK. The results are as follows. As the correlation matrix reflects the more eigenvalue property, the estimated stock network from the correlation matrix gradually increases the degree of consistency with the original stock network. Each stock with a different number of links to other stocks in the original stock network shows a different response. In particular, the largest eigenvalue is a significant deterministic factor in terms of the formation of a stock network.

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