A scoring rule for factor and autoregressive models under misspecification
Roberto Casarin (),
Fausto Corradin (),
Francesco Ravazzolo () and
Domenico Sartore ()
Additional contact information
Fausto Corradin: Department of Economics, University of Venice Cà Foscari
Domenico Sartore: Department of Economics, University of Venice Cà Foscari
No 2018:18, Working Papers from Department of Economics, University of Venice "Ca' Foscari"
Factor models (FM) are now widely used for forecasting with large set of time series. Another class of models, which can be easily estimated and used in a large dimensional setting, is multivariate autoregressive models (MAR), where independent autoregressive processes are assumed for the series in the panel. We compare the forecasting abilities of FM and MAR models when assuming both models are misspecified and the data generating process is a vector autoregressive model. We establish which conditions need to be satisfied for a FM to overperform MAR in terms of mean square forecasting error. The condition indicates in presence of misspecification that FM is not always overperforming MAR and that the FM predictive performance depends crucially on the parameter values of the data generating process. Building on the theoretical relationship between FM and MAR predictive performances, we provide a scoring rule which can be evaluated on the data to either select the model, or combine the models in forecasting exercises. Some numerical illustrations are provided both on simulated data and on wel-known large economic datasets. The empirical results show that the frequency of the true positive signals is larger when FM and MAR forecasting performances differ substantially and it decreases as the horizon increases.
Keywords: Factor models; Large datasets; Multivariate autoregressive models; Forecasting; Scoring rules; VAR models. (search for similar items in EconPapers)
JEL-codes: C32 C52 C53 (search for similar items in EconPapers)
Pages: 31 pages
New Economics Papers: this item is included in nep-ecm, nep-ets and nep-ore
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
http://www.unive.it/pag/fileadmin/user_upload/dipa ... _ravazzolo_18_18.pdf First version, anno (application/pdf)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:ven:wpaper:2018:18
Access Statistics for this paper
More papers in Working Papers from Department of Economics, University of Venice "Ca' Foscari" Contact information at EDIRC.
Bibliographic data for series maintained by Geraldine Ludbrook ().