Global credit cycle signals (debt-service burden deviation, credit growth, boom flags)
Value-added credit-cycle signals derived from the free Bank for International Settlements debt-service-ratio and total-credit statistics (private non-financial sector): per-country DSR deviation from its 8-year mean, DSR z-scores, total-credit year-on-year growth, credit-boom flags at a +2pp deviation threshold, 3-sigma anomaly flags, and per-quarter cross-country ranks — the canonical BIS early-warning gauges in one frame. All computation is local pandas/numpy; no paid models or APIs.
Qualité
Attribution
Bank for International Settlements; derived signals by Frontier Data Hub
Schéma
| Colonne | Type | Description |
|---|---|---|
| date | string | Reference quarter of the observation (first day of the quarter), as published in the BIS debt-service-ratio and total-credit statistics. |
| country | string | |
| country_code | string | |
| series_id | string | Derived series identifier: DSR_P (debt-service ratio, private non-financial sector) or TOTAL_CREDIT_P (total credit to the private non-financial sector). |
| series_label | string | Human-readable series label naming the country and the BIS source statistic. |
| value | float | Indicator value as published by the BIS: debt-service ratio in percent of income for DSR_P; total credit to the private non-financial sector in national currency units for TOTAL_CREDIT_P. |
| dsr_deviation_8y | float | |
| dsr_z_8y | float | |
| credit_yoy | float | |
| credit_boom_flag | integer | |
| anomaly_flag | integer | |
| rank | integer |
Exemple de lignes
| date | country | country_code | series_id | series_label | value | dsr_deviation_8y | dsr_z_8y | credit_yoy | credit_boom_flag | anomaly_flag | rank |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1947-10-01 | United States | USA | TOTAL_CREDIT_P | United States — Total credit to the private non-financial sector (Bank for International Settlements) | 47.1 | — | — | — | 0 | 0 | 1 |
| 1948-01-01 | United States | USA | TOTAL_CREDIT_P | United States — Total credit to the private non-financial sector (Bank for International Settlements) | 47.6 | — | — | — | 0 | 0 | 1 |
| 1948-04-01 | United States | USA | TOTAL_CREDIT_P | United States — Total credit to the private non-financial sector (Bank for International Settlements) | 47.9 | — | — | — | 0 | 0 | 1 |
| 1948-07-01 | United States | USA | TOTAL_CREDIT_P | United States — Total credit to the private non-financial sector (Bank for International Settlements) | 48 | — | — | — | 0 | 0 | 1 |
| 1948-10-01 | United States | USA | TOTAL_CREDIT_P | United States — Total credit to the private non-financial sector (Bank for International Settlements) | 48.6 | — | — | 3.1847133757961776 | 0 | 0 | 1 |
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_credit_signals/global_credit_cycle_signals" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/bis_credit_signals/global_credit_cycle_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_credit_signals/global_credit_cycle_signals
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.