Global policy divergence signals (central-bank cutting/hiking cycles, real rates, divergence gauge)

Name: Global policy divergence signals (central-bank cutting/hiking cycles, real rates, divergence gauge)
Creator: Global Policy Divergence Signals (derived)
License: https://www.bis.org/terms_conditions.htm
Keywords: monetary-policy, central-banks, interest-rates, real-rates, divergence, easing-cycle, anomaly-detection, signals, bis

Value-added monetary-policy signals derived from the free Bank for International Settlements central-bank policy-rate and long-run consumer-price datasets: per-country cutting/hiking cycle stance, 6-month rate momentum, real policy rates (rate minus CPI year-on-year), 5-year stance z-scores, 3-sigma anomaly flags, plus per-month global gauges — cross-country policy dispersion and the share of central banks cutting — so users can see easing/tightening cycles diverging in one frame. All computation is local pandas/numpy; no paid models or APIs.

Source: Global Policy Divergence Signals (derived)24,711 lignesMis à jour: 22/09/2026

monetary-policycentral-banksinterest-ratesreal-ratesdivergenceeasing-cycleanomaly-detectionsignalsbis

Qualité

96.5

Attribution

Bank for International Settlements; derived signals by Frontier Data Hub

Schéma

Colonne	Type	Description
date	string	Reference month of the observation (first day of the month), as published in the BIS central-bank policy-rate statistics.
country	string
country_code	string
series_id	string	Derived series identifier; always POLICY_RATE — the BIS central-bank policy-rate series for the row's country.
series_label	string	Human-readable series label naming the country and the BIS central-bank policy-rate source.
value	float	Central-bank policy rate in percent per annum, as published in the BIS central-bank policy-rate statistics.
policy_change_6m	float
cycle_stance	string
real_policy_rate	float
stance_z_5y	float
anomaly_flag	integer
policy_dispersion	float
cutters_share	float

Exemple de lignes

date	country	country_code	series_id	series_label	value	policy_change_6m	cycle_stance	real_policy_rate	stance_z_5y	policy_dispersion
1945-01-01	Belgium	BEL	POLICY_RATE	Belgium — central bank policy rate (Bank for International Settlements)	1.5	—	—	—	—	—
1945-01-01	Spain	ESP	POLICY_RATE	Spain — central bank policy rate (Bank for International Settlements)	3.2	—	—	—	—	—
1945-01-01	France	FRA	POLICY_RATE	France — central bank policy rate (Bank for International Settlements)	1.625	—	—	—	—	—
1945-01-01	Italy	ITA	POLICY_RATE	Italy — central bank policy rate (Bank for International Settlements)	4	—	—	—	—	—
1945-01-01	Netherlands	NLD	POLICY_RATE	Netherlands — central bank policy rate (Bank for International Settlements)	3.5	—	—	—	—	—

Télécharger un échantillon

Téléchargez l'échantillon complet de ce jeu de données (lignes d'exemple, pas le jeu complet).

Télécharger l'exemple CSV Télécharger l'exemple JSON

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_policy_signals/global_policy_divergence_signals" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/bis_policy_signals/global_policy_divergence_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_policy_signals/global_policy_divergence_signals

Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.