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RANDOM MATRIX THEORY AND FINANCIAL CORRELATIONS

International Journal of Theoretical and Applied Finance, 2000
We show that results from the theory of random matrices are potentially of great interest when trying to understand the statistical structure of the empirical correlation matrices appearing in the study of multivariate financial time series. We find a remarkable agreement between the theoretical prediction (based on the assumption that the correlation
Laloux, Laurent   +3 more
openaire   +2 more sources

Random Matrix Theory

2004
In this chapter, we will work not with \(\mathrm{GL}(n, \mathbb{C})\) but with its compact subgroup U(n). As in the previous chapters, we will consider elements of \(\mathcal{R}_{k}\) as generalized characters on S k . If \(\mathbf{f} \in \mathcal{R}_{k}\), then \(f ={ \mathrm{ch}}^{(n)}(\mathbf{f}) \in \varLambda _{k}^{(n)}\) is a symmetric polynomial
openaire   +1 more source

Test of the Eigenstate Thermalization Hypothesis Based on Local Random Matrix Theory

Physical Review Letters, 2021
Shoki Sugimoto   +2 more
exaly  

Eigenstate Thermalization Hypothesis and Its Deviations from Random-Matrix Theory beyond the Thermalization Time

Physical Review Letters, 2022
Jiaozi Wang   +2 more
exaly  

Cleaning large correlation matrices: Tools from Random Matrix Theory

Physics Reports, 2017
Joël Bun   +2 more
exaly  

Random-matrix theory of Majorana fermions and topological superconductors

Reviews of Modern Physics, 2015
Carlo Beenakker
exaly  

Random matrix theory and symmetric spaces

Physics Reports, 2004
Michele Caselle
exaly  

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