hal.structure.identifier | Dauphine Recherches en Management [DRM] | |
dc.contributor.author | Darolles, Serge | * |
hal.structure.identifier | | |
dc.contributor.author | Duvaut, Patrick | * |
hal.structure.identifier | | |
dc.contributor.author | Jay, Emmanuelle | * |
dc.date.accessioned | 2014-06-17T13:53:24Z | |
dc.date.available | 2014-06-17T13:53:24Z | |
dc.date.issued | 2013 | |
dc.identifier.uri | https://basepub.dauphine.fr/handle/123456789/13496 | |
dc.language.iso | en | en |
dc.subject | regularized Kalman filter (rgKF) | en |
dc.subject | robust Kalman filter (RKF) | en |
dc.subject | spiky data | en |
dc.subject.ddc | 332 | en |
dc.subject.classificationjel | C.C3.C30 | en |
dc.subject.classificationjel | G.G1.G12 | en |
dc.title | A Regularized Kalman Filter (rgKF) for Spiky Data | en |
dc.type | Chapitre d'ouvrage | |
dc.description.abstracten | This chapter presents a new family of algorithms named regularized Kalman Filters (rgKFs) that have been derived to detect and estimate exogenous outliers that might occur in the observation equation of a standard Kalman filter (KF). Inspired from the robust Kalman filter (RKF) of Mattingley and Boyd, which makes use of a l1-regularization step, the authors introduce a simple but efficient detection step in the recursive equations of the RKF. This solution is one means by which to solve the problem of adapting the value of the l1-regularization parameter: when an outlier is detected in the innovation term of the KF, the value of the regularization parameter is set to a value that will let the l1-based optimization problem estimate the amplitude of the spike. The chapter deals with the application of algorithm to detect irregularities in hedge fund returns. | en |
dc.identifier.citationpages | 117-132 | en |
dc.relation.ispartoftitle | Multi-factor models and signal processing techniques: application to quantitative finance | en |
dc.relation.ispartofeditor | Darolles, Serge | |
dc.relation.ispartofeditor | Duvaut, Patrick | |
dc.relation.ispartofeditor | Jay, Emmanuelle | |
dc.relation.ispartofpublname | ISTE ; J. Wiley | en |
dc.relation.ispartofpublcity | London ; Hoboken, NJ | en |
dc.relation.ispartofdate | 2013 | |
dc.relation.ispartofpages | 184 | en |
dc.relation.ispartofurl | http://dx.doi.org/10.1002/9781118577387 | en |
dc.subject.ddclabel | Economie financière | en |
dc.relation.ispartofisbn | 978-1-84821-419-4 | en |
dc.relation.forthcoming | non | en |
dc.identifier.doi | 10.1002/9781118577387.ch4 | en |
dc.description.halcandidate | oui | |
dc.description.readership | recherche | |
dc.description.audience | International | |
hal.identifier | hal-01632887 | * |
hal.version | 1 | * |
hal.update.action | updateMetadata | * |
hal.author.function | aut | |
hal.author.function | aut | |
hal.author.function | aut | |