In this paper we demonstrate that there is evidence of an unstable and nonlinear re-lationship between fundamentals and exchange rates. Modeling this time-varying nature of the importance of fundamentals in a Markov switching framework substan-tially improves the fit of the real interest rate...

Nonlinear modeling of adjustments to purchasing power parity has recently gained much attention. However, a huge body of the empirical literature applies ESTAR models and neglects the existence of other competing nonlinear models. Among these, the Markov Switching AR model has a strong...

This paper examines the roles of order flow (reflecting private information) and news (reflecting public information) in explaining exchange rate volatility. Analyzing four months of a bank's high frequency dollar/euro trading, three different kinds of order flow are used in addition to seasonal...

This research points to the serious problem of potentially misspecified alternative hypotheses when testing for unit roots in real exchange rates. We apply a popular unit root test against nonlinear ESTAR and develop a Markov Switching unit root test. The empirical power of these tests against...

Using a large panel of individual professionals' forecasts, this paper demonstrates that good exchange rate forecasts are related to a proper understanding of fundamentals, specifically good interest rate forecasts. This relationship is robust to individual fixed effects and further controls....

This paper suggests that exchange rates are related to economic fundamentals over medium-term horizons, such as a month or longer. We find from a large panel of individual professionals' forecasts that good exchange rate forecasts benefit from the proper understanding of fundamentals,...

This paper sheds new light on a long-standing puzzle in the international finance literature, namely, that exchange rate expectations appear inaccurate and even irrational. We find for a comprehensive dataset that individual forecasters’ performance is skill-based. ‘Superior’ forecasters...