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The BIS effective exchange rates data set covers long time series on nominal and real effective exchange rates. They can serve as a measure of international competitiveness, components of financial conditions indices or as a gauge of the transmission of external shocks.

The broad effective exchange rate indices cover 64 economies. Narrow indices include 26 and 27 economies for the nominal and real indices, respectively. Nominal effective exchange rates (NEER) are calculated as geometric trade-weighted averages of bilateral exchange rates. Real effective exchange rates (REER) are derived by adjusting the NEER by relative consumer prices.

Specifically, changes in the REER take into account both nominal exchange rate developments and the inflation differential against a basket of trading partners. An increase in NEER indicates an appreciation in nominal terms, whereas an increase in REER corresponds to an appreciation in real terms.

The weights used in the calculations of the effective exchange rates are derived from manufacturing trade flows. They capture both direct bilateral trade and third-market competition by double-weighting. To account for changes in trade over time, the weighting pattern is time-varying on a three-year basis. For instance, the effective exchange rates index for 2009 is calculated using the weights which refer to the period from 2008 to 2010. The weights of 1990-92 are applied to data prior to 1990, while the most recent set of weights is also used to calculate effective exchange rates for the latest period. Whenever possible, the BIS uses published US dollar exchange rates and consumer prices as inputs for the effective exchange rates.

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Seasonal adjustment
Non seasonally adjusted
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Monthly
Daily
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BIS statistics
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Index, 2020 = 100
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Methodology

Effective exchange rates - data documentation and sources

The effective exchange rates (EER) reflect developments in global trade by using time-varying weighting patterns. To facilitate cross-country comparison, the BIS publishes narrow and broad indices. This document explains which methodology was used to generate the series. The indices have been expanded and updated since the original publication.

The weights are derived from manufacturing trade flows, and capture both direct bilateral trade and third-market competition by double-weighting. This trade-based weighting assumes that there is only one type of good differentiated by country of origin, with a constant elasticity of substitution. Ideally, the weights are such that a change in cross rates has no effect on a country's key macroeconomic aggregates as long as the real effective exchange rate remains constant.

Underlying weights:

Research and publications

Recent enhancements to the BIS statistics

The BIS regularly seeks to enhance its statistical offerings to support monetary and financial stability analysis, in close coordination with central banks and other national authorities and international organisations. The exposure of economies to foreign currency risk is one potential source of vulnerability that has received increased attention in recent years, and the relevant data gaps are being addressed in the second phase of the Data Gaps Initiative (DGI) endorsed by the G20 (BIS-FSB-IMF (2015), FSB-IMF (2017)). Concurrently with this issue of the Quarterly Review, the BIS is expanding the data it publishes on exchange rates, on the currency composition of cross-border positions and on ...

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