Bootstrap LR Tests for Sign and Amplitude Asymmetries
Jerry Coakley; Ana-Maria Fuertes
Authors registered in the RePEc Author Service: Ana-Maria Fuertes and
Jerry Coakley
No 262, Computing in Economics and Finance 2001 from Society for Computational Economics
Abstract:
Using threshold autoregressive specifications, this paper develops new parametric tests for level asymmetries. It proposes bootstrap likelihood ratio statistics to test the symmetric adjustment null against sign and amplitude asymmetries or a combination of both. Monte Carlo simulations show that the proposed tests have good size properties and reasonable power for n>=300. An application to three US dollar nominal exchange rates, 1973:2-2000:2, shows pervasive evidence of amplitude asymmetry.\t
Keywords: Threshold autoregression; Monte Carlo; Exchange rates. (search for similar items in EconPapers)
JEL-codes: C15 C22 C52 (search for similar items in EconPapers)
Date: 2001-04-01
References: Add references at CitEc
Citations: View citations in EconPapers (2)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:sce:scecf1:262
Access Statistics for this paper
More papers in Computing in Economics and Finance 2001 from Society for Computational Economics Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F. Baum ().