Adaptive forecasting in the presence of recent and ongoing structural change
Liudas Giraitis (),
George Kapetanios and
Simon Price
Journal of Econometrics, 2013, vol. 177, issue 2, 153-170
Abstract:
We consider time series forecasting in the presence of ongoing structural change where both the time series dependence and the nature of the structural change are unknown. Methods that downweight older data, such as rolling regressions, forecast averaging over different windows and exponentially weighted moving averages, known to be robust to historical structural change, are found also to be useful in the presence of ongoing structural change in the forecast period. A crucial issue is how to select the degree of downweighting, usually defined by an arbitrary tuning parameter. We make this choice data-dependent by minimising the forecast mean square error, and provide a detailed theoretical analysis of our proposal. Monte Carlo results illustrate the methods. We examine their performance on 97 US macro series. Forecasts using data-based tuning of the data discount rate are shown to perform well.
Keywords: Recent and ongoing structural change; Forecast combination; Robust forecasts (search for similar items in EconPapers)
JEL-codes: C10 C59 (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (58)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0304407613000699
Full text for ScienceDirect subscribers only
Related works:
Working Paper: Adaptive forecasting in the presence of recent and ongoing structural change (2014) 
Working Paper: Adaptive Forcasting in the Presence of Recent and Ongoing Structural Change (2012) 
Working Paper: Adaptive Forecasting in the Presence of Recent and Ongoing Structural Change (2012) 
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:eee:econom:v:177:y:2013:i:2:p:153-170
DOI: 10.1016/j.jeconom.2013.04.003
Access Statistics for this article
Journal of Econometrics is currently edited by T. Amemiya, A. R. Gallant, J. F. Geweke, C. Hsiao and P. M. Robinson
More articles in Journal of Econometrics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().