Time-varying coefficient estimation in SURE models. Application to portfolio management
Isabel Casas (),
Eva Ferreira () and
Susan Orbe ()
Additional contact information
Eva Ferreira: University of the Basque Country, Postal: Departamento de Economia Aplicada III & BETS. University of the Basque Country, Avenida Lehendakari Aguirre 83, 48015 Bilbao, Spain
Susan Orbe: University of the Basque Country, Postal: Departamento de Economia Aplicada III & BETS. University of the Basque Country, Avenida Lehendakari Aguirre 83, 48015 Bilbao, Spain
CREATES Research Papers from Department of Economics and Business Economics, Aarhus University
This paper provides a detailed analysis of the asymptotic properties of a kernel estimator for a Seemingly Unrelated Regression Equations model with time-varying coefficients (tv-SURE) under very general conditions. Theoretical results together with a simulation study differentiates the cases for which the estimation of a tv-SURE outperforms the estimation of a Single Regression Equations model with time-varying coefficients (tv-SRE). The study shows that Zellner's results cannot be straightforwardly extended to the time-varying case. The tv-SURE is applied to the Fama and French five-factor model using data from four different international markets. Finally, we provide the estimation under cross-restriction and discuss a testing procedure.
Keywords: Time-varying; Nonparametric; SURE; Five factor model; Asset pricing (search for similar items in EconPapers)
JEL-codes: C01 C14 (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations View citations in EconPapers (1) Track citations by RSS feed
Downloads: (external link)
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:aah:create:2017-33
Access Statistics for this paper
More papers in CREATES Research Papers from Department of Economics and Business Economics, Aarhus University
Bibliographic data for series maintained by ().