Spectral density of the correlation matrix of factor models: A random matrix theory approach

F. Lillo and R. N. Mantegna
Phys. Rev. E 72, 016219 – Published 28 July 2005

Abstract

We studied the eigenvalue spectral density of the correlation matrix of factor models of multivariate time series. By making use of the random matrix theory, we analytically quantified the effect of statistical uncertainty on the spectral density due to the finiteness of the sample. We considered a broad range of models, ranging from one-factor models to hierarchical multifactor models.

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  • Received 10 September 2003

DOI:https://doi.org/10.1103/PhysRevE.72.016219

©2005 American Physical Society

Authors & Affiliations

F. Lillo1,2,3 and R. N. Mantegna2,3

  • 1Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, New Mexico 87501, USA
  • 2INFM Unità di Palermo and Dipartimento di Fisica e Tecnologie Relative, Università di Palermo, Viale delle Scienze, I-90128 Palermo, Italy
  • 3Istituto Nazionale di Fisica Nucleare, Sezione di Catania, Catania, Italy

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Vol. 72, Iss. 1 — July 2005

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