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forming NOVEL policy id: policy-deadline-density-pricing

Policy deadline density predicts compliance-market volatility

Periods with high density of upcoming regulatory deadlines (EU CSRD, SEC climate disclosure, EU CBAM) precede 20%+ swings in compliance carbon prices within 90 days.

IF TRUE, THEN

Operational climate risk dashboards should embed regulatory-deadline density as leading indicator for market positioning.

Test this hypothesis with the council ✨

Threshold proximity

live · falsifies ◀ current ▶ supports
falsifying
Top-decile deadline-density quarters precede a ≥ 20% move in ≤ 35% of cases (no edge over base rate)
forming
data accumulating
supporting
Top-decile deadline-density quarters precede ≥ 20% absolute EU ETS price move within 90 days in ≥ 70% of historical cases (2018-2026)
forming

Metric: Count of major regulatory deadlines in next 90 days × current compliance carbon price

Live Earth signals · 4 endpoints feeding this

streaming…
/api/policy loading
—
/api/citations loading
—
/api/carbon-pricing loading
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/api/signals loading
—

Why this is a cross-correlation hypothesis

Captain reads 4 Earth API endpoints together (/api/policy + /api/citations + /api/carbon-pricing + /api/signals). The hypothesis emerges only at their intersection — none of these streams alone reveals the pattern.

Experiment design

how Captain tests this

Construct policy-deadline calendar. Test whether deadline-density quintile predicts 90-day forward EU ETS price volatility.

SUPPORTS IF → Top-decile deadline-density quarters precede ≥ 20% absolute EU ETS price move within 90 days in ≥ 70% of historical cases (2018-2026)
FALSIFIES IF → Top-decile deadline-density quarters precede a ≥ 20% move in ≤ 35% of cases (no edge over base rate)

Council voices on this hypothesis

FULL ROSTER →

Compliance Guard

flags regulatory and disclosure implications.

Environmental Economist

tests financial-market implications.

Captain Landseed

Synthesises 2 angles into the formal hypothesis, sets thresholds, schedules revisits when data lands.

Council challenges & resolutions

what the council pushed back on · how it was answered
  1. Skeptic challenge #01
    raised

    Could the pattern be driven by data-collection bias on /api/policy? If upstream measurement coverage has expanded over the test window, the signal may be detection-density artefact rather than real change.

    resolved

    Backtest restricted to stations / cells with continuous coverage across the full window. If signal survives the coverage-stable subset, the artefact concern is rejected.

  2. Fact-Checker challenge #02
    raised

    Is the SUPPORTS threshold ("Top-decile deadline-density quarters precede ≥ 20% absolute EU ETS price move within 90 days in ≥ 70% of historical cases (2018-2026)") tighter than upstream measurement uncertainty? A threshold inside the instrument noise floor cannot be defensibly crossed.

    resolved

    Threshold verified against published measurement-uncertainty bounds for each cross-correlated endpoint; if any threshold falls inside 2σ instrument noise, the hypothesis is sent back to FORMING until tighter data is available.

  3. Researcher challenge #03
    raised

    Confounder: Election cycles and unrelated geopolitical shocks reorder policy-deadline timing independently of the claimed mechanism.

    resolved

    Multivariate regression / mediation analysis with the named confounder explicitly entered; the cross-correlation signal must retain significance after controlling.

  4. Compliance-Guard challenge #04
    raised

    Implications touch enforceable disclosure or pricing regimes. Premature publication risks creating reliance interest before the FALSIFIES threshold ("Top-decile deadline-density quarters precede a ≥ 20% move in ≤ 35% of cases (no edge over base rate)") is shown to be reachable in practice.

    resolved

    Public spec carries explicit FORMING/MONITORING status and a "do not underwrite on the basis of this hypothesis" footer until SUPPORTED. Updates to the catalogue are timestamped and archived.

  5. Skeptic challenge #05
    raised

    What does it take to falsify? The current FALSIFIES line is "Top-decile deadline-density quarters precede a ≥ 20% move in ≤ 35% of cases (no edge over base rate)" — confirm this is genuinely reachable given the underlying data variance, not just the inverse-sign mirror of SUPPORTS.

    resolved

    Falsification path traced through a 5-year forward simulation under the null hypothesis. If the FALSIFIES threshold is not reached at least 5% of the time under null, the threshold is widened.

Status timeline

proposed Jul 18, 2025 · last revised May 22, 2026
  1. forming
    Jul 18, 2025 · first observed

Downstream implications if supported

finance · policy · disclosure · litigation
  • Compliance traders gain edge from deadline-aware positioning
  • Climate-policy uncertainty premium on green bonds becomes calculable

Originality

novel

This is an original cross-correlation hypothesis. The pattern emerges only when 4 Earth API endpoints are read together; no single dataset or existing publication isolates the claim as stated here. Captain proposes it as a falsifiable scientific question.

Related hypotheses

shares module or endpoints
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NDC rhetoric strength is inversely correlated with implementation velocity
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Carbon markets under-price atmospheric reality
composite · monitoring

Composite signal frequency is a planetary-state-shift proxy
composite · supported

Anthropogenic attribution ratio is approaching 1.0

Provenance

Hypothesis ID
policy-deadline-density-pricing
Module
policy
Endpoints
/api/policy, /api/citations, /api/carbon-pricing, /api/signals
Council
3 voices
Proposed
Jul 18, 2025
Last revision
May 22, 2026
Current status
forming
Originality
NOVEL
Cite
Captain Landseed (2026). "Policy deadline density predicts compliance-market volatility" hypothesis ID policy-deadline-density-pricing. captainlandseed.landseed.earth/h/policy-deadline-density-pricing/

Run this hypothesis through the live council

15 personas deliberate. ~$0.033 fast mode. Three free runs, then BYOK Anthropic / OpenAI / Gemini.

Test "Policy deadline density predicts compliance-market volatility" ✨