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Systematic and multifactor risk models revisited

Systematic and multifactor risk models are revisited via methods which were already successfully developed in signal processing and in automatic control. The results, which bypass the usual criticisms on those risk modeling, are illustrated by several successful computer experiments.

preprint2013arXivOpen access
Michel FliessCédric Join
q-fin.RMComputational Engineering, Finance, and Scienceq-fin.CPmath.LOMachine Learning
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Open access2 authors5 topics
Imported metadata coverageMissing code, dataset, citation and institution fields are tracked without dominating the paper.Details
Citations: 0Reviews: 0Saves: 0Code: not linkedDataset: not linkedInstitutions: 0

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Michel FliessCédric Join

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