BIS REER competitiveness signals (currency misalignment gauges)

Name: BIS REER competitiveness signals (currency misalignment gauges)
Creator: BIS REER Competitiveness Signals (derived)
License: https://www.bis.org/terms_conditions.htm
Keywords: fx, reer, effective-exchange-rate, competitiveness, currency-valuation, misalignment, macroeconomics, volatility, momentum, anomaly-detection, forecasting, signals, bis

Monthly currency-competitiveness signals from the BIS real broad effective exchange rate indices (1994-01 ->, keyless): 3-month momentum, 30-month change volatility, 3-sigma anomaly flags vs a trailing 12-month baseline, naive-drift 1-month forecasts, cross-economy ranks, a 10-year valuation z-score misalignment gauge with over/undervalued flags, 12-month real appreciation rates, and per-month REER-level ranks. All rows carry normalized ISO country codes so they join cleanly with other macro data. Raw data: Bank for International Settlements.

Source: BIS REER Competitiveness Signals (derived)25,088 rowsUpdated: 9/22/2026

fxreereffective-exchange-ratecompetitivenesscurrency-valuationmisalignmentmacroeconomicsvolatilitymomentumanomaly-detectionforecastingsignalsbis

Quality

96.2

Attribution

Bank for International Settlements (derived signals by Frontier Data Hub)

Schema

Column	Type	Description
date	string	Observation month (BIS SDMX TIME_PERIOD, YYYY-MM).
country	string
country_code	string
series_id	string	BIS reporting-area code (BIS SDMX REF_AREA, CL_AREA codelist).
series_label	string	Reporting-area English label from the BIS CL_AREA codelist, suffixed with the WS_EER dataflow title (real broad effective exchange rate).
value	float	Real effective exchange rate index, monthly, broad basket (BIS WS_EER, EER_TYPE=R, EER_BASKET=B). An increase denotes real appreciation of the currency against the broad basket of trading partners.
momentum_3m	float
volatility_30d	float
anomaly_flag	integer
forecast_1m	float
rank	integer
valuation_z_10y	float
overvalued_flag	integer
undervalued_flag	integer
appreciation_12m_pct	float
reer_rank	integer

Sample rows

date	country	country_code	series_id	series_label	value	momentum_3m	volatility_30d	forecast_1m	rank	valuation_z_10y	appreciation_12m_pct	reer_rank
1994-01-01	United Arab Emirates	ARE	AE	AE — Real broad effective exchange rate	71.77	—	—	—	11	—	—	11
1994-02-01	United Arab Emirates	ARE	AE	AE — Real broad effective exchange rate	71.31	—	—	—	10	—	—	10
1994-03-01	United Arab Emirates	ARE	AE	AE — Real broad effective exchange rate	70.86	—	—	—	10	—	—	10
1994-04-01	United Arab Emirates	ARE	AE	AE — Real broad effective exchange rate	70.93	-0.8399999999999892	—	—	10	—	—	10
1994-05-01	United Arab Emirates	ARE	AE	AE — Real broad effective exchange rate	70.41	-0.9000000000000057	—	—	10	—	—	10

Download sample data

Download the full sample snapshot for this dataset (sample rows, not the complete dataset).

Download sample CSV Download sample JSON

Use with an LLM

Point any LLM at the metadata endpoint — the documentation above is machine-readable too (JSON-LD + Croissant).

cURL

curl "https://datazimuts.com/v1/datasets/bis_reer_signals/bis_reer_competitiveness_signals" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/bis_reer_signals/bis_reer_competitiveness_signals").json()
print(ds["title"], ds["rows"], "rows")

# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
    print(row)

API endpoint: https://datazimuts.com/v1/datasets/bis_reer_signals/bis_reer_competitiveness_signals

Tip: fetch /llms.txt for the full machine-readable catalog.