dorsal/arxiv
View SchemaSpectrum, Intensity and Coherence in Weighted Networks of a Financial Market
| Authors | G. Tibely, J. -P. Onnela, J. Saramaki, K. Kaski, J. Kertesz |
|---|---|
| Categories | |
| ArXiv ID | physics/0603196 |
| URL | https://arxiv.org/abs/physics/0603196 |
| DOI | 10.1016/j.physa.2006.04.042 |
| Journal | Physica A 370 145-150 (2006) |
Abstract
We construct a correlation matrix based financial network for a set of New York Stock Exchange (NYSE) traded stocks with stocks corresponding to nodes and the links between them added one after the other, according to the strength of the correlation between the nodes. The eigenvalue spectrum of the correlation matrix reflects the structure of the market, which also shows in the cluster structure of the emergent network. The stronger and more compact a cluster is, the earlier the eigenvalue representing the corresponding business sector occurs in the spectrum. On the other hand, if groups of stocks belonging to a given business sector are considered as a fully connected subgraph of the final network, their intensity and coherence can be monitored as a function of time. This approach indicates to what extent the business sector classifications are visible in market prices, which in turn enables us to gauge the extent of group-behaviour exhibited by stocks belonging to a given business sector.
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"abstract": "We construct a correlation matrix based financial network for a set of New\nYork Stock Exchange (NYSE) traded stocks with stocks corresponding to nodes and\nthe links between them added one after the other, according to the strength of\nthe correlation between the nodes. The eigenvalue spectrum of the correlation\nmatrix reflects the structure of the market, which also shows in the cluster\nstructure of the emergent network. The stronger and more compact a cluster is,\nthe earlier the eigenvalue representing the corresponding business sector\noccurs in the spectrum. On the other hand, if groups of stocks belonging to a\ngiven business sector are considered as a fully connected subgraph of the final\nnetwork, their intensity and coherence can be monitored as a function of time.\nThis approach indicates to what extent the business sector classifications are\nvisible in market prices, which in turn enables us to gauge the extent of\ngroup-behaviour exhibited by stocks belonging to a given business sector.",
"arxiv_id": "physics/0603196",
"authors": [
"G. Tibely",
"J. -P. Onnela",
"J. Saramaki",
"K. Kaski",
"J. Kertesz"
],
"categories": [
"physics.soc-ph"
],
"doi": "10.1016/j.physa.2006.04.042",
"journal_ref": "Physica A 370 145-150 (2006)",
"title": "Spectrum, Intensity and Coherence in Weighted Networks of a Financial Market",
"url": "https://arxiv.org/abs/physics/0603196"
},
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