We review a correlation based clustering procedure applied to a portfolio of assets synchronously traded in a financial market. The portfolio considered consists of the set of 500 highly capitalized stocks traded at the New York Stock Exchange during the time period 1987-1998. We show that meaningful economic information can be extracted from correlation matrices.

S MICCICHE', F LILLO, RN MANTEGNA (2005). Correlation based hierarchical clustering in financial time series. In 31st Workshop of the International-School-of-Solid-State-Physics (pp.327-335) [10.1142/9789812701558_0037].

Correlation based hierarchical clustering in financial time series

MICCICHE', Salvatore;LILLO, Fabrizio;MANTEGNA, Rosario Nunzio
2005-01-01

Abstract

We review a correlation based clustering procedure applied to a portfolio of assets synchronously traded in a financial market. The portfolio considered consists of the set of 500 highly capitalized stocks traded at the New York Stock Exchange during the time period 1987-1998. We show that meaningful economic information can be extracted from correlation matrices.
31 Workshop of the ISSSP: Complexity, Metastability and Nonextensivity
20-26 July 2004
2005
9
Editors: C Beck, G Benedeck, A Rapisarda, C Tsallis. Publisher: World Scientific.
S MICCICHE', F LILLO, RN MANTEGNA (2005). Correlation based hierarchical clustering in financial time series. In 31st Workshop of the International-School-of-Solid-State-Physics (pp.327-335) [10.1142/9789812701558_0037].
Proceedings (atti dei congressi)
S MICCICHE'; F LILLO; RN MANTEGNA
File in questo prodotto:
File Dimensione Formato  
PAPERPA10_copertina.pdf

Solo gestori archvio

Dimensione 2.1 MB
Formato Adobe PDF
2.1 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/30476
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? 4
social impact