EconPapers    
Economics at your fingertips  
 

Exchange Rate Predictability and State-of-the-Art Models

Pinar Yesin

No 2016-02, Working Papers from Swiss National Bank

Abstract: This paper empirically evaluates the predictive performance of the International Monetary Fund's (IMF) exchange rate assessments with respect to future exchange rate movements. The assessments of real trade-weighted exchange rates were conducted from 2006 to 2011, and were based on three state-of-the-art exchange rate models with a medium-term focus which were developed by the IMF. The empirical analysis using 26 advanced and emerging market economy currencies reveals that the 'diagnosis' of undervalued or overvalued currencies based on these models has significant predictive power with respect to future exchange rate movements, with one model outperforming the other two. The models are better at predicting future exchange rate movements in advanced and open economies. Controlling for the exchange rate regime does not increase the predictive power of the assessments. Furthermore, the directional accuracy of the IMF assessments is found to be higher than market expectations.

Keywords: Exchange rate models; exchange rate assessment; predictability; equilibrium exchange rates. (search for similar items in EconPapers)
JEL-codes: C53 F31 F37 (search for similar items in EconPapers)
Pages: 45 pages
Date: 2016
New Economics Papers: this item is included in nep-cba and nep-opm
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.snb.ch/en/publications/research/workin ... orking_paper_2016_02 (text/html)

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:snb:snbwpa:2016-02

Access Statistics for this paper

More papers in Working Papers from Swiss National Bank Contact information at EDIRC.
Bibliographic data for series maintained by Enzo Rossi ().

 
Page updated 2025-03-20
Handle: RePEc:snb:snbwpa:2016-02