Financial Applications of Random Matrix Theory: Old Laces and New Pieces

dc.creatorPotters, M.
dc.creatorBouchaud, J. P.
dc.creatorLaloux, L.
dc.date2005-07-14
dc.date.accessioned2026-07-07T12:07:36Z
dc.date.available2026-07-07T12:07:36Z
dc.descriptionThis contribution to the proceedings of the Cracow meeting on `Applications of Random Matrix Theory' summarizes a series of studies, some old and others more recent on financial applications of Random Matrix Theory (RMT). We first review some early results in that field, with particular emphasis on the applications of correlation cleaning to portfolio optimisation, and discuss the extension of the Marcenko-Pastur (MP) distribution to a non trivial `true' underlying correlation matrix. We then present new results concerning different problems that arise in a financial context: (a) the generalisation of the MP result to the case of an empirical correlation matrix (ECM) constructed using exponential moving averages, for which we give a new elegant derivation (b) the specific dynamics of the `market' eigenvalue and its associated eigenvector, which defines an interesting Ornstein-Uhlenbeck process on the unit sphere and (c) the problem of the dependence of ECM's on the observation frequency of the returns and its interpretation in terms of lagged cross-influences.
dc.descriptionProceedings of the Cracow conference on `Applications of Random Matrix Theory to Economy and Other Complex Systems'
dc.identifierhttps://arxiv.org/abs/physics/0507111
dc.identifierhttp://arxiv.org/abs/physics/0507111
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/209025
dc.subjectData Analysis, Statistics and Probability
dc.subjectDisordered Systems and Neural Networks
dc.subjectStatistical Finance
dc.titleFinancial Applications of Random Matrix Theory: Old Laces and New Pieces
dc.typetext

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