Abstract (may include machine translation)
We construct a weighted financial network for a subset of NYSE traded stocks,
in which the nodes correspond to stocks and edges to interactions between
them. We identify clusters of stocks in the network, based on the Forbes
business sector classification, and study their intensity and coherence. Our
approach indicates to what extent the business sector classifications are visible
in market prices, enabling us to gauge the extent of group-behaviour exhibited
by stocks belonging to a given business sector.
in which the nodes correspond to stocks and edges to interactions between
them. We identify clusters of stocks in the network, based on the Forbes
business sector classification, and study their intensity and coherence. Our
approach indicates to what extent the business sector classifications are visible
in market prices, enabling us to gauge the extent of group-behaviour exhibited
by stocks belonging to a given business sector.
| Original language | English |
|---|---|
| Title of host publication | Practical fruits of econophysics |
| Editors | Takayasu H |
| Place of Publication | Tokyo |
| Publisher | Springer Verlag |
| Pages | 302-306 |
| Number of pages | 5 |
| ISBN (Print) | 4431289143 |
| DOIs | |
| State | Published - 2006 |