ASRA · Risk research

Risk information, independently assessed.

Does contextual state improve one-hour BTC risk forecasts beyond a strong HAR-basis model?

A stronger risk forecast and a useful risk policy are separate claims. This research confirmed the first, then tested the second under its own frozen rule.

Strongest confirmed finding

Independent Risk Forecast Confirmation

INDEPENDENTCOMPLETED

Context adds short-horizon BTC risk information beyond historical volatility persistence: H+C improves both primary losses against HAR-basis on the frozen independent assessment.

Independent comparison of the fixed H_PLUS_C model and B4B_HAR_BASIS baseline on the frozen assessment.

1 hour · BTC risk forecast · H+C vs HAR-basis

Model: H_PLUS_C · Baseline: B4B_HAR_BASIS

Assessment: [2025-08-01, 2026-07-30) · end exclusive

Log-MSE improvement
+12.58%H+C vs HAR-basis

Lower forecast loss versus HAR-basis; this is not a return metric.

QLIKE improvement
+11.65%H+C vs HAR-basis

Lower forecast loss versus HAR-basis; this is not a return metric.

Chronological segments positive in both primary losses
4 / 4Consistency across the chronological assessment

Consistency across four chronological segments, not four independent replications.

Risk information, not directional alpha, a trading signal, sizing approval or execution authority.

Consistency across chronology

Consistency across four chronological segments, not four independent replications.

Calendar/liquidity structure, volatility compression and expansion, and shock normalization added information beyond the strong HAR-basis model within the frozen assessment.

The conclusion is specific to the fixed model, the named strong baseline and this frozen assessment. It does not establish a directional timing rule.

Interpretation and limits

Calibration has an aggregation boundary.

1 hour · BTC risk forecast · H+C vs HAR-basis

Model: H_PLUS_C · Baseline: B4B_HAR_BASIS

Assessment: [2025-08-01, 2026-07-30) · end exclusive

Actual / forecast variance
≈0.9963H+C vs HAR-basis

Calibration evidence at the reported aggregation level; not proof of perfect conditional or tail calibration.

Risk information, not directional alpha, a trading signal, sizing approval or execution authority.

The actual-to-forecast variance ratio describes calibration at the reported aggregation level. Proximity to one does not establish perfect conditional calibration or accurate tail calibration.

What the supplied evidence does not establish

  • The reported aggregate improvements do not supply confidence intervals, p-values, segment sample sizes or economic significance.
  • Chronological segment consistency does not establish independent replication.
  • Calibration evidence at the reported aggregation level; not proof of perfect conditional or tail calibration.
  • Forecast validation does not provide live trading permission or automatic veto authority.

The public summary does not infer unreported confidence intervals, significance levels or loss-normalization formulas. Those require the underlying assessment report.

Earlier development evidence

Risk Baseline Challenge

DEVELOPMENTCOMPLETED

Question

Does the risk candidate survive comparison with a stronger volatility-persistence alternative?

Method and finding

Challenge the candidate against a stronger baseline during development.

The risk candidate passed the strong-baseline challenge described in the reviewed research brief.

Risk candidate development · Risk candidate vs stronger volatility-persistence alternative; exact challenge baseline not supplied.

Assessment: Assessment dates and endpoint rules not supplied in the reviewed brief.

Passing a development comparison does not itself establish independent confirmation.

No numerical result, exact baseline specification or development assessment dates were supplied.

The independent assessment above is the completed follow-up. Its model identifiers and dates are not a substitute for this development study's missing specification.

Completed policy translation test

Better forecasts did not automatically become a better policy.

RETROSPECTIVECOMPLETEDPOLICY UTILITY NOT CONFIRMED

FORECAST_INFORMATION_WITHOUT_POLICY_UTILITY

Question

Can the frozen primary P3 mapping turn stronger H+C risk information into policy utility under the preregistered rule?

Frozen test

Frozen primary P3 policy evaluation against the preregistered utility threshold and required multi-era consistency rule.

Frozen primary P3 policy evaluation · Pooled H+C vs HAR policy result

Assessment: Policy assessment window and era boundaries not supplied in the reviewed update.

Pooled volatility improvement
2.070%Pooled H+C vs HAR policy result

Frozen P3 H+C versus HAR policy comparison; below the preregistered minimum.

Pooled ES5 improvement
2.016%Pooled H+C vs HAR policy result

Frozen P3 H+C versus HAR policy comparison; below the preregistered minimum. No unsupplied metric formula is inferred.

Preregistered minimum
3.0%Pooled H+C vs HAR policy result

Required minimum for each primary pooled improvement; the multi-era consistency rule must also pass.

Better risk forecasts did not automatically become a better risk policy.

Policy utility was not confirmed

Forecast information survived; the preregistered policy-utility claim did not.

  • Both primary pooled improvements missed the preregistered minimum.
  • Only CONFIRMED_FORECAST_ERA_DIAGNOSTIC passed the joint era rule; required multi-era consistency failed.
  • The policy assessment has its own protocol. It does not inherit the forecast assessment window or independence label.

What the mechanism evidence supports

  • H+C retains better realized-risk ranking than HAR.
  • H+C has materially lower turnover than HAR; much of its relative fee-net return advantage is associated with lower turnover.
  • Opportunity cost remains. Better ranking and lower turnover do not override the failed frozen P3 rule.

Mechanism associations do not establish a completed causal decomposition or directional timing.

These observed relationships motivate a separate decomposition question. They do not override the frozen primary rule or turn risk ranking into directional timing evidence.

Proposed follow-up

Turnover & Opportunity-Cost Decomposition

NEXT QUESTION

Turnover & Opportunity-Cost Decomposition

Next question

How much of the observed policy tradeoff is associated with turnover, fees and foregone opportunity?

NEXT QUESTION only. Mechanism observations belong to the completed policy study.

Inspect turnover & opportunity cost

Source availability

Reviewed claims, with explicit source limits.

Research records are maintained in the private research archive. The reviewed briefs support the claims shown here; public reports, manifests and reproducible code destinations are not yet available.

The policy study's supplied branch-head identifier belongs only to that completed study. It is not the independent forecast assessment's code lineage.

Independent Risk Forecast Confirmation

Research record maintained in the private research archive. The reviewed claims are reported here; a public report and manifest are not available.

Code: No verified public repository or immutable code link is available for this study.

Assessment scope: [2025-08-01, 2026-07-30) · end exclusive

Risk Baseline Challenge

Research record maintained in the private research archive. The reviewed claims are reported here; a public report and manifest are not available.

Code: No verified public repository or immutable code link is available for this study.

Assessment scope: Assessment dates and endpoint rules not supplied in the reviewed brief.

ASRA Risk Policy Utility V1

Research record maintained in the private research archive. The reviewed claims are reported here; a public report and manifest are not available.

Code: The supplied identifier belongs to the completed policy study. A public repository or commit URL is not available.

Completed study identifier: 3f5ebee1d3b002cd3f7f2d4ea65f72d6cf512cdd

Assessment scope: Policy assessment window and era boundaries not supplied in the reviewed update.