Systematic and multifactor risk models revisited

Michel Fliess and C\'edric Join
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Michel Fliess: LIX, AL.I.E.N.
C\'edric Join: AL.I.E.N., CRAN, INRIA Lille - Nord Europe

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Abstract: 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.

Date: 2013-12
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