FACTOR MODELS AND TIMEâ€ VARYING PARAMETER FRAMEWORK FOR FORECASTING EXCHANGE RATES AND INFLATION: A SURVEY
Lasha Kavtaradze () and
Manouchehr Mokhtari ()
Journal of Economic Surveys, 2018, vol. 32, issue 2, 302-334
A survey of models used for forecasting exchange rates and inflation reveals that the factorâ€ based and timeâ€ varying parameter or state space models generate superior forecasts relative to all other models. This survey also finds that models based on Taylor rule and portfolio balance theory have moderate predictive power for forecasting exchange rates. The evidence on the use of Bayesian Model Averaging approach in forecasting exchange rates reveals limited predictive power, but strong support for forecasting inflation. Overall, the evidence overwhelmingly points to the context of the forecasts, relevance of the historical data, data transformation, choice of the benchmark, selected time horizons, sample period and forecast evaluation methods as the crucial elements in selecting forecasting models for exchange rate and inflation.
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Persistent link: https://EconPapers.repec.org/RePEc:bla:jecsur:v:32:y:2018:i:2:p:302-334
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