We utilize Monte Carlo simulations to evaluate, in finite samples, the forecasting performance of the monetary model. The data generating process (DGP) is based on the assumptions of Engel and West (2005) about the present-value model for exchange rates, namely that the discount factor is close...

A common explanation for the inability of the monetary model to beat the random walk in forecasting future exchange rates is that conventional time series tests may have low power, and that panel data should generate more powerful tests. This paper provides an extensive evaluation of this power...

We propose in this paper a likelihood-based framework forcointegration analysis in panels of a fixed number of vector errorcorrection models. Maximum likelihood estimators of thecointegrating vectors are constructed using iterated GeneralizedMethod of Moments estimators. Using these estimators...