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EBP Recession Probability

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EBP Recession Probability

What it is

EBP Recession Probability — registry key ebp_recession_prob.

The Gilchrist-Zakrajšek model’s implied recession probability ingested from the monthly FEDS Notes CSV and persisted on daily_signals for future scoring / matcher use. NOT yet a health-score or alignment component.

Data-pyramid tier

T1 — Signal. This metric sits at the signal layer of the platform’s six-tier data pyramid (T0 raw inputs → T5 actionable read). The tier reflects how far the value is from a raw measurement — not how strongly it is validated. Abstraction and validation are separate axes: a higher tier is not a claim of stronger evidence.

Horizon & validation

No validated skill horizon is on file for this metric — read it as context / a data carrier, not a validated edge. Stamps are added only when a gated research verdict lands.

Source

Source module: ebp
Data source: back_fillable

Fetched directly from app/sources/ebp.py; see source code for the upstream API call and any provider-specific handling.

How it’s computed

Model-implied probability that the US economy is in (or entering) a recession, derived from the Gilchrist-Zakrajšek EBP framework — a 0-1 fraction. Sourced verbatim from the Fed’s monthly FEDS Notes ebp_csv.csv est_prob column (renamed to ebp_recession_prob for unambiguous reading alongside the platform’s other probability fields), last row. See app/sources/ebp.py.

Where it surfaces

Health-score / alignment role

Data carrier — no implication, no health-score contribution.

Persisted for downstream consumers (sparklines, base-rate matcher, calibration substrate) but does not classify into BULLISH / NEUTRAL / BEARISH and does not contribute to the 0-100 health score.

Release cadence

Federal Reserve FEDS-notes monthly Excess Bond Premium CSV (ebp_csv.csv); the est_prob column renamed to ebp_recession_prob, same monthly cadence as EBP, last row is the latest month.

See also