Factors on Demand

Version 1.6.0.0 (4,08 Mo) par Attilio Meucci
Proper implementation of factor models: bottom-up estimation, top-down attribution
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Mise à jour 9 mai 2011

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Three case studies: random matrix theory for estimation vs. cross-sectional model for attribution; hedging based on full-repricing instead of Black-Scholes deltas; heuristcs for best K attribution/hedging factors out N

To walk through the code and for a thorough description, see
Meucci A., "Factors on Demand",

Latest version of article and code available at http://symmys.com/node/164

Citation pour cette source

Attilio Meucci (2026). Factors on Demand (https://fr.mathworks.com/matlabcentral/fileexchange/26853-factors-on-demand), MATLAB Central File Exchange. Extrait(e) le .

Compatibilité avec les versions de MATLAB
Créé avec R2009a
Compatible avec toutes les versions
Plateformes compatibles
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FactorsOnDemand/NoGreekHedging/

FactorsOnDemand/SelectionHeuristics/

FactorsOnDemand/StatisticalVsCrossSectional/

Version Publié le Notes de version
1.6.0.0

updated references
1.5.0.0

Added case study

1.1.0.0

Added one case study, also detailed in the above article
1.0.0.0