GZ Credit Spread
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app/signals/config/signal_definitions.jsonbyscripts/build_signals_kb.py. Edit the registry entry and re-run the script β do not edit this file directly.
GZ Credit Spread
What it is
GZ Credit Spread β registry key gz_spread.
Gilchrist-ZakrajΕ‘ek parent credit spread ingested from the monthly FEDS Notes CSV alongside EBP and persisted on daily_signals. Now a LEVEL leg of the drawdown-risk lens (compute_drawdown_risk, +1 orientation, weight 1.0) β a transparency/coverage credit-stress leg, NOT a health-score, alignment, or banded scoring component (the drawdown-risk lens is a separate transparent z-score composite, not the health score).
Data-pyramid tier
T1 β Signal. This metric sits at the signal layer of the platformβs six-tier data pyramid (T0 raw inputs β T5 actionable read). The tier reflects how far the value is from a raw measurement β not how strongly it is validated. Abstraction and validation are separate axes: a higher tier is not a claim of stronger evidence.
Horizon & validation
Horizon: 40-60d β the window this metricβs measured skill speaks to. A horizon stamp is an evidence claim, not a trading signal.
Evidence: Macro drawdown-lens leg: forward-maxdd correlation grows with horizon and peaks at 40-60d (breakeven_10y +0.28@20d -> +0.42@60d; ofr_fsi_funding ~+0.278, highest tested). FAILS clean walk-forward (single 2022 bear, in-sample; RT-3 falsifier open). Weak - ships labeled, never as a standalone forecast.
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 itβs computed
The Gilchrist-ZakrajΕ‘ek (2012) corporate bond credit spread index β the average duration-matched spread of senior unsecured corporate bonds over Treasuries, in percentage points. EBP is the residual of this spread after removing expected-default-risk compensation; the GZ spread is the parent series both components sum to. Sourced verbatim from the Fedβs monthly FEDS Notes ebp_csv.csv gz_spread column, last row (the same CSV row as ebp, so its as-of stamp is the shared ebp_obs_date column β the gex β dix_obs_date shared-vintage pattern). See app/sources/ebp.py.
Where it surfaces
- API field:
signals.gz_spreadonGET /api/v1/signals/latest - Surface:
daily_signalsrow (daily-cadence persistence) - Surface:
/signals/sparklines(UI sparklines) - Surface: change markers in the rendered report
Health-score / alignment role
Data carrier β 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
- Publishes:
monthly - Approximate time (ET):
08:30
Federal Reserve FEDS-notes monthly Excess Bond Premium CSV (ebp_csv.csv); the gz_spread column, same monthly cadence as EBP, last row is the latest month.
See also
- /kb/api/get-signals-latest β API endpoint that serves this field.