Fundamental determinants of exchange rate expectations
Joscha Beckmann and
Robert L. Czudaj
International Journal of Forecasting, 2025, vol. 41, issue 3, 1003-1021
Abstract:
This paper provides a new perspective on the expectations-building mechanism in foreign exchange markets. We analyze the role of expectations regarding macroeconomic fundamentals for expected exchange rate changes. Real-time survey data is assessed for 29 economies from 2002 to 2023, and expectations regarding GDP growth, inflation, interest rates, and current accounts are considered. Our empirical findings show that fundamentals expectations are more important over longer than shorter horizons. We find that an expected increase in GDP growth relative to the US leads to an expected appreciation of the domestic currency. In contrast, higher relative inflation expectations lead to an expected depreciation, a finding consistent with purchasing power parity. Our results also indicate that the expectation-building process differs systematically across pessimistic and optimistic forecasts, with the former paying more attention to fundamentals expectations. Finally, we also observe that fundamentals expectations have some explanatory power for forecast errors, especially for longer horizons.
Keywords: Exchange rates; Expectations; Forecast errors; Fundamentals; Survey data (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0169207024000980
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:intfor:v:41:y:2025:i:3:p:1003-1021
DOI: 10.1016/j.ijforecast.2024.09.004
Access Statistics for this article
International Journal of Forecasting is currently edited by R. J. Hyndman
More articles in International Journal of Forecasting from Elsevier
Bibliographic data for series maintained by Catherine Liu ().