Forecasting with Equilibrium-correction Models during Structural Breaks.

When location shifts occur, cointegration-based equilibrium-correction models (EqCMs) face forecasting problems. We consider alleviating such forecast failure by updating, intercept corrections, differencing, and estimating the future progress of an 'internal' break. Updating leads to a lo...

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主要な著者: Castle, J, Fawcett, N, Hendry, D
フォーマット: Journal article
言語:English
出版事項: Elsevier 2010
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author Castle, J
Fawcett, N
Hendry, D
author_facet Castle, J
Fawcett, N
Hendry, D
author_sort Castle, J
collection OXFORD
description When location shifts occur, cointegration-based equilibrium-correction models (EqCMs) face forecasting problems. We consider alleviating such forecast failure by updating, intercept corrections, differencing, and estimating the future progress of an 'internal' break. Updating leads to a loss of cointegration when an EqCM suffers an equilibrium-mean shift, but helps when collinearities are changed by an 'external' break with the EqCM staying constant. Both mechanistic corrections help compared to retaining a pre-break estimated model, but an estimated model of the break process could outperform. We apply the approaches to EqCMs for UK M1, compared with updating a learning function as the break evolves.
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spelling oxford-uuid:dd712417-ea8a-4a47-b281-6f4f670701f82022-03-27T09:24:58ZForecasting with Equilibrium-correction Models during Structural Breaks.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:dd712417-ea8a-4a47-b281-6f4f670701f8EnglishDepartment of Economics - ePrintsElsevier2010Castle, JFawcett, NHendry, DWhen location shifts occur, cointegration-based equilibrium-correction models (EqCMs) face forecasting problems. We consider alleviating such forecast failure by updating, intercept corrections, differencing, and estimating the future progress of an 'internal' break. Updating leads to a loss of cointegration when an EqCM suffers an equilibrium-mean shift, but helps when collinearities are changed by an 'external' break with the EqCM staying constant. Both mechanistic corrections help compared to retaining a pre-break estimated model, but an estimated model of the break process could outperform. We apply the approaches to EqCMs for UK M1, compared with updating a learning function as the break evolves.
spellingShingle Castle, J
Fawcett, N
Hendry, D
Forecasting with Equilibrium-correction Models during Structural Breaks.
title Forecasting with Equilibrium-correction Models during Structural Breaks.
title_full Forecasting with Equilibrium-correction Models during Structural Breaks.
title_fullStr Forecasting with Equilibrium-correction Models during Structural Breaks.
title_full_unstemmed Forecasting with Equilibrium-correction Models during Structural Breaks.
title_short Forecasting with Equilibrium-correction Models during Structural Breaks.
title_sort forecasting with equilibrium correction models during structural breaks
work_keys_str_mv AT castlej forecastingwithequilibriumcorrectionmodelsduringstructuralbreaks
AT fawcettn forecastingwithequilibriumcorrectionmodelsduringstructuralbreaks
AT hendryd forecastingwithequilibriumcorrectionmodelsduringstructuralbreaks