Assessment of models to forecast exchange rates: the quetzal–U.S. dollar exchange rate



Document title: Assessment of models to forecast exchange rates: the quetzal–U.S. dollar exchange rate
Journal: Journal of applied economics
Database: CLASE
System number: 000401686
ISSN: 1667-6726
Authors: 1
1
Institutions: 1Banco de Guatemala, Departamento de Investigaciones Económicas, Ciudad de Guatemala. Guatemala
Year:
Season: May
Volumen: 16
Number: 1
Pages: 71-99
Country: Argentina
Language: Inglés
Document type: Artículo
Approach: Analítico, descriptivo
English abstract Based on Cheung, Chinn and García-Pascual (2004) and Meese and Rogoff (1983), the forecasting performance of a wide variety of theoretical and empirical exchange rate models (PPP, UIP, flexible and sticky-price monetary models, portfolio balance, and a BEER model) is tested against the random walk specification to determine their assessment in predicting the quetzal–U.S. dollar nominal exchange rate. Such models are estimated by applying a recursive regression methodology to quarterly data for the period 1995-2009. Estimations are performed based on an innovative trend-gap data disaggregation methodology, and an error-correction specification to contrast short vs. long run prediction performance, which is evaluated up to eight periods ahead for all model specifications. Different from previous results, forecasts provided by most specifications in the very short run (up to 2 quarters ahead), particularly the BEER specification, consistently outperform those obtained from the random walk model
Disciplines: Economía
Keyword: Econometría,
Estados Unidos de América,
Guatemala,
Dólar,
Quetzal,
Tipo de cambio,
Modelos econométricos
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