Fabio Spagnolo
;
Zacharias Psaradakis
;
Martin Sola

testing the unbiased forward exchange rate hypothesis using a markov switching model and instrumental variables (replication data)

This paper develops a model for the forward and spot exchange rate which allows for the presence of a Markov switching risk premium in the forward market and considers the issue of testing the unbiased forward exchange rate (UFER) hypothesis. Using US/UK data, it is shown that the UFER hypothesis cannot be rejected, provided that instrumental variables are used to account for within-regime correlation between explanatory variables and disturbances in the Markov switching model on which the test is based.

Data and Resources

Suggested Citation

Spagnolo, Fabio; Psaradakis, Zacharias; Sola, Martin (2005): Testing the unbiased forward exchange rate hypothesis using a Markov switching model and instrumental variables (replication data). Version: 1. Journal of Applied Econometrics. Dataset. http://dx.doi.org/10.15456/jae.2022319.0709706152