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How big will a US stock's earnings-day move be, compared with what options imply?

Earnings-Move and IV-Crush Model (US) (M-026). Short answer: the hub rates it FIT WITH CONDITIONS.

Data as of .

The verdict

FIT WITH CONDITIONS as a level forecast of the absolute reaction move and as descriptive crush bands; NOT a validated cheap/rich signal against traded straddles.

Development summary: Registered rule -> MOVE FORECAST, CRUSH DESCRIPTIVE. The stage-A champion A3 (gradient-boosting quantile on name history, chosen on 2021-23) beats the name's 8-event median by 3.4% MAE and the sector x size base rate by 5.1% (2024-26, n=22,044), and every IV30-implied benchmark in 2025-26 (k x IV30 move 3.8%, IV-excess 9.3%, post-hoc trading-day IV30 2.8%). The IV stack S1 passes the same gate but adds nothing over A3. Crush: the registered OLS (KO) does not beat the name's median past crush (K1); the challenger KG does by 17.1%.

What the review allows

  • exp_move_model_pct and its q25-q75 band as the expected size of the reaction move (2024-26 coverage 0.47, share above q50 0.53)
  • crush_ratio_expected as a descriptive typical crush for the name (K1)
  • ratio_model_vs_implied as a SCREEN for names worth pricing by hand

What the review rules out

  • Treat ratio_model_vs_implied as a measured trading edge: the benchmark is an IV30 proxy and most of its ranking power is mechanical (IC 0.22 vs 0.17 for the name's median alone)
  • Use the output for direction - it forecasts the size of the move only
  • Read rows with confidence=low (few releases, unknown session, illiquid) as forecasts

What it predicts

ItemDetail
Question it answersForecast each upcoming US earnings release's absolute reaction-day move and IV30 crush vs the implied move
MethodGBM quantile (A3) vs OLS (A1) vs IV stack (S1)
How it worksGradient-boosting quantile bands; OLS and IV-stack rivals
InputsName's past 8 reaction moves (median, dispersion, last), Normal-day volatility (63d, event days masked), Size, liquidity, sector, release session, Days since last report, pre-event 21d move, IV30 level, percentile, IV/HV, run-up (IV stack and crush only)
OutputPer upcoming report: expected |move| % (q50) with q25-q75 band, implied move, IV crush ratio
Horizonone event: close on T-1 -> close on the first session able to price the release
CoverageUS universe names with primary EDGAR 8-K 2.02 releases of known session; C(T-1) >= $5; median 63-session dollar volume >= $2M; survivors only
MarketsUS
Model typeModel · ML/Stat
StageValidated (shadow output)
Versionv1, first recorded 16 Oct 2026

Validation evidence

Headline results from the model's development record, as the hub publishes them.
MeasureResultCompared withNote
MAE vs k x IV30 move (2025-26)3.57 pp3.72 pp3.8% lower (95% CI 2.5 to 5.4%, BH p 0)
MAE vs IV-excess event move3.57 pp3.94 pp9.3% lower (95% CI 6.9 to 11.8%, BH p 0)
MAE vs name 8-event median (2024-26)4.34 pp4.49 pp3.4% lower (95% CI 2.6 to 4.2%, BH p 0)
MAE vs sector x size rate (2024-26)4.36 pp4.60 pp5.1% lower (95% CI 4.6 to 5.6%, BH p 0)
Crush MAE (ratio)K1 0.0783KO 0.0753, KG 0.0649KO vs K1 BH p 0.098 (fails); KG vs K1 17.1% lower (95% CI 13.1 to 20.8%, BH p 0)

Limitations

Questions

Is the Earnings-Move and IV-Crush Model (US) validated?
Its validation review dated 19 Oct 2026 rated it FIT WITH CONDITIONS as a level forecast of the absolute reaction move and as descriptive crush bands; NOT a validated cheap/rich signal against traded straddles.
What does the Earnings-Move and IV-Crush Model (US) predict?
It answers: Forecast each upcoming US earnings release's absolute reaction-day move and IV30 crush vs the implied move. Output: Per upcoming report: expected |move| % (q50) with q25-q75 band, implied move, IV crush ratio. Horizon: one event: close on T-1 -> close on the first session able to price the release. Coverage: US universe names with primary EDGAR 8-K 2.02 releases of known session; C(T-1) >= $5; median 63-session dollar volume >= $2M; survivors only.
How was the Earnings-Move and IV-Crush Model (US) tested?
2025-26 MAE vs k x IV30 move: 3.8% lower, BH p<0.001; 2024-26 MAE vs name 8-event median: 3.4% lower; [q25,q75] coverage 2024-26: 0.47 (target 0.50).

Source: the Model Hub's public model register, as of 6 Nov 2026. The M-026 page in the live Model Hub carries the full development and validation record, monitoring and open decisions. All 30 models and their verdicts.

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