Deterministic Parameter Change Models in Continuous and Discrete Time
Marcus Chambers and
AM Robert Taylor
Essex Finance Centre Working Papers from University of Essex, Essex Business School
Abstract:
We consider a model of deterministic one-time parameter change in a continuous time autoregressive model around a deterministic trend function. The exact discrete time analogue model is detailed and compared to corresponding parameter change models adopted in the discrete time literature. The relationships between the parameters in the continuous time model and the discrete time analogue model are also explored. Our results show that the discrete time models used in the literature can be justified by the corresponding continuous time model, with a only a minor modification needed for the (most likely) case where the changepoint does not coincide with one of the discrete time observation points. The implications of our results for a number of extant discrete time models and testing procedures are discussed.
Date: 2019-02-14
New Economics Papers: this item is included in nep-ecm and nep-ets
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://repository.essex.ac.uk/24072/ original version (application/pdf)
Related works:
Journal Article: Deterministic Parameter Change Models in Continuous and Discrete Time (2020) 
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:esy:uefcwp:24072
Access Statistics for this paper
More papers in Essex Finance Centre Working Papers from University of Essex, Essex Business School Contact information at EDIRC.
Bibliographic data for series maintained by Nikolaos Vlastakis ().