Random matrix theory and nested clustered portfolios on Mexican markets
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- Ledoit, Olivier & Wolf, Michael, 2004.
"A well-conditioned estimator for large-dimensional covariance matrices,"
Journal of Multivariate Analysis, Elsevier, vol. 88(2), pages 365-411, February.
- Ledoit, Olivier & Wolf, Michael, 2000. "A well conditioned estimator for large dimensional covariance matrices," DES - Working Papers. Statistics and Econometrics. WS 10087, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Roncalli, Thierry, 2013.
"Introduction to Risk Parity and Budgeting,"
MPRA Paper
47679, University Library of Munich, Germany.
- Thierry Roncalli, 2014. "Introduction to Risk Parity and Budgeting," Papers 1403.1889, arXiv.org.
- Joël Bun & Jean-Philippe Bouchaud & Marc Potters, 2017. "Cleaning large correlation matrices: tools from random matrix theory," Post-Print hal-01491304, HAL.
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- Candelon, B. & Hurlin, C. & Tokpavi, S., 2012.
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