EconPapers    
Economics at your fingertips  
 

Long: Horizon Exchange Rate Predictability?

Lorenzo Giorgianni and Jeremy Berkowitz

No 1997/006, IMF Working Papers from International Monetary Fund

Abstract: Several authors have recently investigated the predictability of exchange rates by fitting a sequence of long-horizon error-correction regressions. By considering the implied vector error-correction model, we show that little is to be gained from estimating such regressions for horizons greater than one time period. We also show that in small to medium samples the long-horizon procedure gives rise to spurious evidence of predictive power. A simulation study demonstrates that even when using this technique on two independent series, estimates, diagnostic statistics and graphical evidence incorrectly suggest a high degree of predictability of the dependent variable.

Keywords: WP; exchange rate; error-correction term; slope coefficient; Diebold-Mariano statistic; horizon exchange rate predictability; LS t-statistics; spot rate; Exchange rates; Vector error correction models (search for similar items in EconPapers)
Pages: 21
Date: 1997-01-01
References: Add references at CitEc
Citations: View citations in EconPapers (12)

Downloads: (external link)
http://www.imf.org/external/pubs/cat/longres.aspx?sk=2094 (application/pdf)

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:imf:imfwpa:1997/006

Ordering information: This working paper can be ordered from
http://www.imf.org/external/pubs/pubs/ord_info.htm

Access Statistics for this paper

More papers in IMF Working Papers from International Monetary Fund International Monetary Fund, Washington, DC USA. Contact information at EDIRC.
Bibliographic data for series maintained by Akshay Modi ().

 
Page updated 2025-03-30
Handle: RePEc:imf:imfwpa:1997/006