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.

LILLO F, RN MANTEGNA (2005). Spectral density of the correlation matrix of factor models: A random matrix theory approach. PHYSICAL REVIEW E, STATISTICAL, NONLINEAR, AND SOFT MATTER PHYSICS, 72(1), 016219-1-016219-10 [10.1103/PhysRevE.72.016219].

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

LILLO, Fabrizio;MANTEGNA, Rosario Nunzio
2005-01-01

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.
2005
LILLO F, RN MANTEGNA (2005). Spectral density of the correlation matrix of factor models: A random matrix theory approach. PHYSICAL REVIEW E, STATISTICAL, NONLINEAR, AND SOFT MATTER PHYSICS, 72(1), 016219-1-016219-10 [10.1103/PhysRevE.72.016219].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/2622
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