Free Lévy matrices and financial correlations

Zdzisław Burda, Jerzy Jurkiewicz, Maciej A. Nowak, Gabor Papp and Ismail Zahed

Physica A: Statistical Mechanics and its Applications, 2004, vol. 343, issue C, 694-700

Abstract: We consider a covariance matrix composed of asymmetric and free random Lévy matrices. We use the results of free random variables to derive an algebraic equation for the resolvent and solve it to extract the spectral density. For an appropriate choice of asymmetry and Lévy index α/2=34 the free eigenvalue spectrum is in remarkable agreement with the one obtained from the covariance matrix of the SP500 financial market. Our results are of interest to a number of stochastic systems with power law noise.

Keywords: Random matrix theory; Correlation matrix; Eigenvalue spectrum (search for similar items in EconPapers)
Date: 2004
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:343:y:2004:i:c:p:694-700

DOI: 10.1016/j.physa.2004.05.049

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