What Drives Exchange Rates? New Evidence from a Panel of U.S. Dollar Bilateral Exchange Rates
René Lalonde and
Philipp Maier ()
Staff Working Papers from Bank of Canada
We use a novel approach to identify economic developments that drive exchange rates in the long run. Using a panel of six quarterly U.S. bilateral real exchange rates – Australia, Canada, the euro, Japan, New Zealand and the United Kingdom – over the 1980-2007 period, a dynamic factor model points to two common factors. The first factor is driven by U.S. shocks, and cointegration analysis points to a long-run statistical relationship with the U.S. debt-to-GDP ratio, relative to all other countries in our sample. The second common factor is driven by commodity prices. Incorporating these relationships directly into a state-space model, we find highly significant coefficients. Then, we decompose the historical variation of each exchange rate into U.S. shocks, commodities, and a domestic component. We find a strong role for economic fundamentals: Changes in the two common factors, which are driven by the (relative) U.S. debt-to-GDP ratio and commodity prices, can explain between 36 and 96 per cent of individual countries' exchange rates in our panel.
Keywords: Exchange rates; Econometric and statistical methods (search for similar items in EconPapers)
JEL-codes: J31 (search for similar items in EconPapers)
Pages: 36 pages
New Economics Papers: this item is included in nep-bec, nep-cba, nep-ifn, nep-mon and nep-opm
References: Add references at CitEc
Citations: View citations in EconPapers (33) Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:bca:bocawp:10-5
Access Statistics for this paper
More papers in Staff Working Papers from Bank of Canada 234 Wellington Street, Ottawa, Ontario, K1A 0G9, Canada. Contact information at EDIRC.
Bibliographic data for series maintained by ().