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The performance of SETAR models: a regime conditional evaluation of point, interval and density forecasts

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UNSPECIFIED. (2004) The performance of SETAR models: a regime conditional evaluation of point, interval and density forecasts. INTERNATIONAL JOURNAL OF FORECASTING, 20 (2). pp. 305-320. ISSN 0169-2070

Full text not available from this repository.
Official URL: http://dx.doi.org/10.1016/j.ijforecast.2004.09.011

Abstract

The aim of this paper is to analyse the out-of-sample performance of SETAR models relative to a linear AR and a GARCH model using daily data for the euro effective exchange rate (euro-EER). The evaluation is conducted on point, interval and density forecasts, unconditionally, over the whole forecast period, and conditional on specific regimes. The results show that overall the GARCH model is better able to capture the distributional features of the series and to predict higher-order moments than the SETAR models. However, from the results there is also a clear indication that the performance of the SETAR models improves significantly conditional on being on specific regimes. (C) 2004 International Institute of Forecasters. Published by Elsevier B.V. All rights reserved.

Item Type: Journal Article
Subjects: H Social Sciences > HC Economic History and Conditions
H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Journal or Publication Title: INTERNATIONAL JOURNAL OF FORECASTING
Publisher: ELSEVIER SCIENCE BV
ISSN: 0169-2070
Date: April 2004
Volume: 20
Number: 2
Number of Pages: 16
Page Range: pp. 305-320
Identification Number: 10.1016/j.ijforecast.2004.09.011
Publication Status: Published
URI: http://wrap.warwick.ac.uk/id/eprint/8463

Data sourced from Thomson Reuters' Web of Knowledge

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