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Systematic and multifactor risk models revisited

Authors :
Fliess, Michel
Join, Cédric
Publication Year :
2013

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.<br />Comment: First Paris Financial Management Conference, Paris : France (2013)

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.1312.5271
Document Type :
Working Paper