Multiscale behaviour of volatility autocorrelations in a financial market
| dc.creator | Pasquini, Michele | |
| dc.creator | Serva, Maurizio | |
| dc.date | 1998-10-19 | |
| dc.date.accessioned | 2026-07-07T12:07:08Z | |
| dc.date.available | 2026-07-07T12:07:08Z | |
| dc.description | We perform a scaling analysis on NYSE daily returns. We show that volatility correlations are power-laws on a time range from one day to one year and, more important, that they exhibit a multiscale behaviour. | |
| dc.description | 2 pages, RevTeX, 3 eps figures, submitted to Economics Letters | |
| dc.identifier | https://arxiv.org/abs/cond-mat/9810232 | |
| dc.identifier | http://arxiv.org/abs/cond-mat/9810232 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/208869 | |
| dc.subject | Statistical Mechanics | |
| dc.subject | Disordered Systems and Neural Networks | |
| dc.subject | Statistical Finance | |
| dc.title | Multiscale behaviour of volatility autocorrelations in a financial market | |
| dc.type | text |