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The Performance Of Setar Models : A Regime Conditional Evaluation Of Point, Interval And Density Forecasts Author info | Abstract | Publisher info | Download info | Related research | Statistics Boero, Gianna (University of Cagliari, CRENoS and University of Warwick)
Marrocu, Emanuela (University of Cagliari and CRENoS)
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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.
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Paper provided by University of Warwick, Department of Economics in its series The Warwick Economics Research Paper Series (TWERPS) with number
663.
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Length: 35 pages
Date of creation: 2003Date of revision:
Handle: RePEc:wrk:warwec:663Contact details of provider: Postal: CV4 7AL COVENTRY Phone: +44 (0) 2476 523202 Fax: +44 (0) 2476 523032 Web page: http://www2.warwick.ac.uk/fac/soc/economics/research/papers/ More information through EDIRC
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Keywords: SETAR models forecasting accuracy point forecasts MSFEs interval forecasts density forecasts Euro effective exchange rate Other versions of this item:
Find related papers by JEL classification: C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Other Model Applications E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.:
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references Cited by : (explanations , Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.)
Michael P. Clements & Philip Hans Franses & Norman R. Swanson, 2003.
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Departmental Working Papers
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07-1, Bank of Canada.
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Oliviero A. Carboni & Giuseppe Medda, 2007.
"Government Size and the Composition of Public Spending in a Neoclassical Growth Model ,"
Working Paper CRENoS
200701, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
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Heather M. Anderson & Chin Nam Low, 2004.
"Random Walk Smooth Transition Autoregressive Models ,"
Monash Econometrics and Business Statistics Working Papers
22/04, Monash University, Department of Econometrics and Business Statistics, revised May 2005.
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