BIS REER competitiveness signals (currency misalignment gauges)
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.
Qualité
Attribution
Bank for International Settlements (derived signals by Frontier Data Hub)
Schéma
| Colonne | 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 |
Exemple de lignes
| date | country | country_code | series_id | series_label | value | momentum_3m | volatility_30d | anomaly_flag | forecast_1m | rank | valuation_z_10y | overvalued_flag | undervalued_flag | appreciation_12m_pct | reer_rank |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1994-01-01 | United Arab Emirates | ARE | AE | AE — Real broad effective exchange rate | 71.77 | — | — | 0 | — | 11 | — | 0 | 0 | — | 11 |
| 1994-02-01 | United Arab Emirates | ARE | AE | AE — Real broad effective exchange rate | 71.31 | — | — | 0 | — | 10 | — | 0 | 0 | — | 10 |
| 1994-03-01 | United Arab Emirates | ARE | AE | AE — Real broad effective exchange rate | 70.86 | — | — | 0 | — | 10 | — | 0 | 0 | — | 10 |
| 1994-04-01 | United Arab Emirates | ARE | AE | AE — Real broad effective exchange rate | 70.93 | -0.8399999999999892 | — | 0 | — | 10 | — | 0 | 0 | — | 10 |
| 1994-05-01 | United Arab Emirates | ARE | AE | AE — Real broad effective exchange rate | 70.41 | -0.9000000000000057 | — | 0 | — | 10 | — | 0 | 0 | — | 10 |
Télécharger un échantillon
Téléchargez l'échantillon complet de ce jeu de données (lignes d'exemple, pas le jeu complet).
Utiliser avec un LLM
Dirigez n’importe quel LLM vers le point d’accès des métadonnées — la documentation ci-dessus est aussi lisible par machine (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)Point d’accès API: https://datazimuts.com/v1/datasets/bis_reer_signals/bis_reer_competitiveness_signals
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.