TY - JOUR
T1 - Non-rational beliefs in an open economy
AU - Du, Qingyuan
AU - Eusepi, Stefano
AU - Preston, Bruce
N1 - Funding Information:
The authors thank Alejandro Justiniano for his friendship and pedagogy. We also thank participants at the Alejandro Justiniano Memorial Conference, hosted by the Federal Reserve Bank of Chicago, particularly Charles Evans, Leonardo Melosi, Giorgio Primiceri and Andrea Tambalotti and two insightful and constructive anonymous referees. Preston acknowledges support from the Australian Research Council under the grant DP210103427 . The usual caveat applies.
Publisher Copyright:
© 2021 Elsevier Inc.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/7
Y1 - 2021/7
N2 - This paper proposes a new theory of exchange rate determination. Under arbitrary beliefs, the exchange rate is determined by an equilibrium restriction which we call the generalized no-arbitrage condition. The pricing function predicts endogenous departures from the conventional rational expectations uncovered interest parity condition. In an empirical open-economy model with learning, using Canadian and United States data, we evaluate whether learning can account for exchange rate dynamics and reduce reliance on exogenous risk-premium shocks to explain departures from uncovered interest parity. Reminiscent of Justiniano and Preston (2010a), we find learning dynamics help explain the persistence and volatility of exchanges rates but generate counter-factual predictions on international macroeconomic comovement.
AB - This paper proposes a new theory of exchange rate determination. Under arbitrary beliefs, the exchange rate is determined by an equilibrium restriction which we call the generalized no-arbitrage condition. The pricing function predicts endogenous departures from the conventional rational expectations uncovered interest parity condition. In an empirical open-economy model with learning, using Canadian and United States data, we evaluate whether learning can account for exchange rate dynamics and reduce reliance on exogenous risk-premium shocks to explain departures from uncovered interest parity. Reminiscent of Justiniano and Preston (2010a), we find learning dynamics help explain the persistence and volatility of exchanges rates but generate counter-factual predictions on international macroeconomic comovement.
KW - Exchange rate disconnect
KW - Learning dynamics
KW - Survey data
UR - http://www.scopus.com/inward/record.url?scp=85109056229&partnerID=8YFLogxK
U2 - 10.1016/j.red.2021.03.002
DO - 10.1016/j.red.2021.03.002
M3 - Article
AN - SCOPUS:85109056229
SN - 1094-2025
VL - 41
SP - 174
EP - 204
JO - Review of Economic Dynamics
JF - Review of Economic Dynamics
ER -