Pavlidis, Efthymios and Paya, Ivan and Peel, David (2012) Forecast evaluation of nonlinear models:the case of long-span real exchange rates. Journal of Forecasting, 31 (7). pp. 580-595. ISSN 0277-6693Full text not available from this repository.
This paper deals with the nonlinear modeling and forecasting of the dollar–sterling and franc–sterling real exchange rates using long spans of data. Our contribution is threefold. First, we provide significant evidence of smooth transition dynamics in the series by employing a battery of recently developed in-sample statistical tests. Second, we investigate the small-sample properties of several evaluation measures for comparing recursive forecasts when one of the competing models is nonlinear. Finally, we run a forecasting race for the post-Bretton Woods era between the nonlinear real exchange rate model, the random walk, and the linear autoregressive model. The nonlinear model outperforms all rival models in the dollar–sterling case but cannot beat the linear autoregressive in the franc–sterling.
|Journal or Publication Title:||Journal of Forecasting|
|Uncontrolled Keywords:||real exchange rate ; nonlinearity ; robust linearity tests ; forecast evaluation ; bootstrapping|
|Subjects:||H Social Sciences > HB Economic Theory|
|Departments:||Lancaster University Management School > Economics|
|Deposited On:||09 Jul 2012 10:30|
|Last Modified:||30 May 2016 00:01|
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