We investigate the time series of the degree of minimum spanning trees (MSTs) obtained by using a correlation-based clustering procedure which starts from (i) asset return and (ii) volatility time series. The MST is obtained at different times by computing correlation among time series over a time window of fixed length T. We find that the MST of asset return is characterized by stock degree values, which are more stable in time than the ones obtained by analyzing a MST computed starting from volatility time series. Our analysis also shows that the degree of stocks has a very slow dynamics with a time scale of several years in both cases. © 2003 Elsevier Science B.V. All rights reserved.
Miccichè, S., Bonanno, G., Lillo, F., Mantegna, R. (2003). Degree stability of a minimum spanning tree of price return and volatility. PHYSICA. A, 324(1-2), 66-73 [10.1016/S0378-4371(03)00002-5].
Degree stability of a minimum spanning tree of price return and volatility
MICCICHE', Salvatore;BONANNO, Giovanni;LILLO, Fabrizio;MANTEGNA, Rosario Nunzio
2003-01-01
Abstract
We investigate the time series of the degree of minimum spanning trees (MSTs) obtained by using a correlation-based clustering procedure which starts from (i) asset return and (ii) volatility time series. The MST is obtained at different times by computing correlation among time series over a time window of fixed length T. We find that the MST of asset return is characterized by stock degree values, which are more stable in time than the ones obtained by analyzing a MST computed starting from volatility time series. Our analysis also shows that the degree of stocks has a very slow dynamics with a time scale of several years in both cases. © 2003 Elsevier Science B.V. All rights reserved.File | Dimensione | Formato | |
---|---|---|---|
PAPERPA5.pdf
Solo gestori archvio
Dimensione
146.04 kB
Formato
Adobe PDF
|
146.04 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.