We review the recent approach of correlation based networks of financial equities. We investigate portfolio of stocks at different time horizons, financial indices and volatility time series and we show that meaningful economic information can be extracted from noise dressed correlation matrices. We show that the method can be used to falsify widespread market models by directly comparing the topological properties of networks of real and artificial markets.
|Numero di pagine||9|
|Rivista||THE EUROPEAN PHYSICAL JOURNAL. B, CONDENSED MATTER PHYSICS|
|Stato di pubblicazione||Published - 2004|
All Science Journal Classification (ASJC) codes
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics