Reframing the S&P 500 network of stocks along the 21st century
Abstract
Based on a sample of 296 stocks from the S&P 500, the time-varying network structure within three distinct two-year periods since the beginning of the 21st century was analyzed. Logged first-differences of daily stock prices serve as input for a correlation-based distance measure between any two of the 296 stocks. The computation of a Minimal Spanning Tree then abstracts from a complete network and allows for a topological analysis of the resulting community structure. Both the Great Recession (2007-2008) and the Global Commodity Crisis (2010-2011) reveal tendencies of enhanced community formation compared to a formerly rather randomized network structure. Nevertheless, the drivers of the resulting clustering are found not to be related to industry sector affiliation.
- Publication:
-
Physica A Statistical Mechanics and its Applications
- Pub Date:
- July 2019
- DOI:
- arXiv:
- arXiv:1811.03092
- Bibcode:
- 2019PhyA..52621062A
- Keywords:
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- S&P 500;
- Network analysis;
- Minimal spanning trees;
- Industrial clusters;
- Great recession;
- Global commodity crisis;
- Community detection;
- Quantitative Finance - Statistical Finance
- E-Print:
- 21 pages, 4 figures