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The trade weights underlying the calculation of the effective exchange rates (EERs) of the euro and the harmonised competitiveness indicators (HCIs) of the euro area countries have been updated to reflect recent developments in the pattern of international trade.
Download the explanatory note.
Check the new sets of trade weights on SDW
The nominal effective exchange rates of the euro are calculated by the European Central Bank (ECB).
They are based on weighted averages of bilateral euro exchange rates against 20 trading partners of the euro area (see the section "Background").
If this index rate goes up, more foreign currency can be obtained, on average, for €1. It therefore becomes more expensive, on average, for those who want to exchange foreign currency for euro. Likewise, if this index rate goes down, less foreign currency can be obtained, on average, for €1 and, in turn, it becomes less expensive to exchange foreign currency into euro.
The weights capture third-market effects and are based on trade in manufactured goods with the euro area´s trading partners in the periods 1995-97, 1998-2000, 2001-03, 2004-06 and 2007-09, with the indices being chain-linked at the end of each three-year period.
The base period is the first quarter of 1999 (i.e. 1999 Q1 = 100).
The latest value shown usually refers to the previous business day.
An additional set of daily nominal indices, considering 12 trading partners (namely Australia, Canada, Denmark, Hong Kong, Japan, Norway, Singapore, South Korea, Sweden, Switzerland, the United Kingdom and the United States) is also available in the Statistical Data Warehouse.
| Partner country | Reference period 1995-1997 |
Reference period 1998-2000 |
Reference period 2001-2003 |
Reference period 2004-2006 |
Reference period 2007-2009 |
|---|---|---|---|---|---|
| Australia | 1.0 | 1.0 | 1.0 | 1.0 | 0.9 |
| Bulgaria | 0.3 | 0.4 | 0.4 | 0.5 | 0.6 |
| Canada | 1.8 | 1.9 | 1.9 | 1.8 | 1.7 |
| China | 5.5 | 6.5 | 9.2 | 14.1 | 18.8 |
| Czech Republic | 2.7 | 2.9 | 3.6 | 4.2 | 5.0 |
| Denmark | 3.2 | 2.8 | 2.8 | 2.7 | 2.6 |
| Hong Kong | 2.4 | 2.1 | 1.9 | 1.8 | 1.6 |
| Hungary | 1.9 | 2.6 | 3.0 | 3.2 | 3.2 |
| Japan | 12.0 | 10.8 | 9.2 | 8.3 | 7.2 |
| Latvia | 0.1 | 0.1 | 0.2 | 0.2 | 0.2 |
| Lithuania | 0.2 | 0.2 | 0.3 | 0.4 | 0.4 |
| Norway | 1.6 | 1.4 | 1.3 | 1.3 | 1.3 |
| Poland | 2.9 | 3.4 | 4.0 | 4.8 | 6.2 |
| Romania | 0.9 | 1.0 | 1.4 | 1.7 | 2.0 |
| Singapore | 2.3 | 1.9 | 1.7 | 1.7 | 1.5 |
| South Korea | 3.6 | 3.3 | 3.4 | 4.0 | 3.9 |
| Sweden | 5.8 | 5.2 | 4.7 | 4.9 | 4.7 |
| Switzerland | 8.2 | 7.2 | 6.9 | 6.5 | 6.5 |
| United Kingdom | 22.7 | 21.6 | 20.4 | 17.6 | 14.9 |
| United States | 20.9 | 23.7 | 22.7 | 19.2 | 16.9 |
| Total | 100 | 100 | 100 | 100 | 100 |