THE PERFORMANCE OF SETAR MODELS: A REGIME CONDITIONAL EVALUATION OF POINT, INTERVAL AND DENSITY FORECASTS
Gianna Boero () and
Emanuela Marrocu ()
The Warwick Economics Research Paper Series (TWERPS) from University of Warwick, Department of Economics
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. 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.
Keywords: SETAR models; forecasting accuracy; point forecasts; MSFEs; interval forecasts; density forecasts; Euro effective exchange rate (search for similar items in EconPapers)
JEL-codes: C22 C51 C53 E17 (search for similar items in EconPapers)
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Journal Article: The performance of SETAR models: a regime conditional evaluation of point, interval and density forecasts (2004)
Working Paper: THE PERFORMANCE OF SETAR MODELS: A REGIME CONDITIONAL EVALUATION OF POINT, INTERVAL AND DENSITY FORECASTS (2003)
Working Paper: The performance of Setar Models: a regime conditional evaluation of point, interval and density forecasts (2002)
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Persistent link: https://EconPapers.repec.org/RePEc:wrk:warwec:663
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