dc.contributor.author | Comte, F. | de |
dc.contributor.author | Lacour, C. | de |
dc.contributor.author | Rozenholc, Y. | de |
dc.date.accessioned | 2011-07-23T02:50:00Z | de |
dc.date.accessioned | 2012-08-29T23:11:09Z | |
dc.date.available | 2012-08-29T23:11:09Z | |
dc.date.issued | 2009 | de |
dc.identifier.uri | http://www.ssoar.info/ssoar/handle/document/26175 | |
dc.description.abstract | This paper is concerned with the discrete time stochastic volatility model Yi=exp(Xi/2)ηi, Xi+1=b(Xi)+σ(Xi)ξi+1, where only (Yi) is observed. The model is re-written as a particular hidden model: Zi=Xi+εi, Xi+1=b(Xi)+σ(Xi)ξi+1, where (ξi) and (εi) are independent sequences of i.i.d. noise. Moreover, the sequences (Xi) and (εi) are independent and the distribution of ε is known. Then, our aim is to estimate the functions b and σ2 when only observations Z1,…,Zn are available. We propose to estimate bf and (b2+σ2)f and study the integrated mean square error of projection estimators of these functions on automatically selected projection spaces. By ratio strategy, estimators of b and σ2 are then deduced. The mean square risk of the resulting estimators are studied and their rates are discussed. Lastly, simulation experiments are provided: constants in the penalty functions defining the estimators are calibrated and the quality of the estimators is checked on several examples. | en |
dc.language | en | de |
dc.subject.ddc | Wirtschaft | de |
dc.subject.ddc | Economics | en |
dc.subject.other | C13; C14; C22; Adaptive Estimation; Autoregression; Deconvolution; Heteroscedastic; Hidden Markov Model; Nonparametric Projection Estimator | |
dc.title | Adaptive estimation of the dynamics of a discrete time stochastic volatility model | en |
dc.description.review | begutachtet (peer reviewed) | de |
dc.description.review | peer reviewed | en |
dc.source.journal | Journal of Econometrics | de |
dc.source.volume | 154 | de |
dc.publisher.country | NLD | |
dc.source.issue | 1 | de |
dc.subject.classoz | Economic Statistics, Econometrics, Business Informatics | en |
dc.subject.classoz | Wirtschaftsstatistik, Ökonometrie, Wirtschaftsinformatik | de |
dc.identifier.urn | urn:nbn:de:0168-ssoar-261755 | de |
dc.date.modified | 2011-09-21T11:25:00Z | de |
dc.rights.licence | PEER Licence Agreement (applicable only to documents from PEER project) | de |
dc.rights.licence | PEER Licence Agreement (applicable only to documents from PEER project) | en |
ssoar.gesis.collection | SOLIS;ADIS | de |
ssoar.contributor.institution | http://www.peerproject.eu/ | de |
internal.status | 3 | de |
dc.type.stock | article | de |
dc.type.document | journal article | en |
dc.type.document | Zeitschriftenartikel | de |
dc.rights.copyright | f | de |
dc.source.pageinfo | 59-73 | |
internal.identifier.classoz | 10905 | |
internal.identifier.journal | 195 | de |
internal.identifier.document | 32 | |
internal.identifier.ddc | 330 | |
dc.identifier.doi | https://doi.org/10.1016/j.jeconom.2009.07.001 | de |
dc.description.pubstatus | Postprint | en |
dc.description.pubstatus | Postprint | de |
internal.identifier.licence | 7 | |
internal.identifier.pubstatus | 2 | |
internal.identifier.review | 1 | |
internal.check.abstractlanguageharmonizer | CERTAIN | |
internal.check.languageharmonizer | CERTAIN_RETAINED | |