Federal Reserve Bank of Dallas
Globalization Institute Working Papers
Real exchange rate forecasting and ppp: this time the random walk loses
This paper brings four new insights into the Purchasing Power Parity (PPP) debate. First, we show that a half-life PPP (HL) model is able to forecast real exchange rates better than the random walk (RW) model at both short and long-term horizons. Second, we find that this result holds if the speed of adjustment to the sample mean is calibrated at reasonable values rather than estimated. Third, we find that it is preferable to calibrate, rather than to elicit as a prior, the parameter determining the speed of adjustment to PPP. Fourth, for most currencies in our sample, the HL model outperforms the RW also in terms of nominal effective exchange rate forecasting.
Cite this item
Michele Ca'Zorzi & Jakub Muck & Michal Rubaszek, Real exchange rate forecasting and ppp: this time the random walk loses, Federal Reserve Bank of Dallas, Globalization Institute Working Papers 229, 01 Mar 2015.
Note: Published as: Ca' Zorzi, Michele, Jakub Muck and Michal Rubaszek (2015), "Real Exchange Rate Forecasting and PPP: This Time the Random Walk Loses," Open Economies Review 27 (3): 585-609.
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
- F31 - International Economics - - International Finance - - - Foreign Exchange
- F37 - International Economics - - International Finance - - - International Finance Forecasting and Simulation: Models and Applications
This item with handle RePEc:fip:feddgw:229
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