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Next filing · Form 10-Q · Q2 2026 · 54 days
Next filing · Form 10-Q · Q2 2026 · 54 daysFactor Research · Part 2 published: risk structure in 13F filings across five allocator stylesAPI Update · AOM portfolio chains — single snapshot call for multi-step analyze flowsAPI Update · POST /api/snapshot — canonical JSON portfolio snapshotPart 3 · The One Manager Skill That PersistsPart 1 · One Position, Four BetsNext filing · Form 10-Q · Q2 2026 · 54 daysFactor Research · Part 2 published: risk structure in 13F filings across five allocator stylesAPI Update · AOM portfolio chains — single snapshot call for multi-step analyze flowsAPI Update · POST /api/snapshot — canonical JSON portfolio snapshotPart 3 · The One Manager Skill That PersistsPart 1 · One Position, Four Bets
Ledger
    • Beyond Active Share
    • Cascade Hedging and the Cost of Interpretability
    • Decile One, Not Ticker by Ticker
    • ERM3 Cascade-Residual Persistence and the Allocator Skill Signal
    • Every Position Has a Level Too
    • RiskModels Quarterly Funds Report — Q1 2026
    • The Industry Beneath the Index
    • When does a spin-off start having returns?
    • Who got NVDA right before it became benchmark exposure?
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Concept · The RiskModels engine (ERM3)

ERM3

Equity Risk Model v3 — the engine. Decomposes any US equity into market → sector → subsector → residual via a hierarchical orthogonal cascade.

In depth

Equity Risk Model v3 — the engine behind every snapshot and the research. A hierarchical orthogonal cascade decomposes any US equity into market → sector → subsector → residual, with tradeable ETF hedge ratios. Validated out-of-sample on 5,910 stocks over 19 years.

Compute it with the API

POST /api/decompose

# pip install riskmodels-py
client.decompose("NVDA")

Full API docs ↗

In the methodology

The big picture →

Referenced by (7)

  • Beyond Active Share

    A within-mandate manager-efficiency framework using ERM3 residual decomposition

  • The Industry Beneath the Index

    Vasicek peer-β cross-sections expose what sector ETFs paper over

  • Decile One, Not Ticker by Ticker

    Server-side rank screening turns the universe into one queryable cross-section

  • Cascade Hedging and the Cost of Interpretability

    Subsector ETF value, joint optimization, and executable hedge layers across 9,074 US mutual funds

  • RiskModels Quarterly Funds Report — Q1 2026

    Top cohort holdings refresh, factor decomposition, and residual winners for the March 2026 reporting window

  • Who got NVDA right before it became benchmark exposure?

    Early ownership, active conviction, and residual attribution in U.S. mutual-fund managers, 2019–2026

  • ERM3 Cascade-Residual Persistence and the Allocator Skill Signal

    Top-decile rank persistence, active-share comparison, and tail-stratified inference across 1,000 top-AUM US mutual funds

Related concepts

Hierarchical cascade (L1/L2/L3)Link beta (λ)Explained risk (ER)Replication equationRobust beta (Huber-M)Vasicek shrinkageL-star ruleGeometric attribution bridgeResidual mean-reversion signal
← Residual mean-reversion signalThe RiskModels engine (ERM3) · 1 / 10Hierarchical cascade (L1/L2/L3) →
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A research surface for hierarchical orthogonal decomposition, variance attribution, and allocator-grade risk measurement. Operational APIs and developer workflows live at riskmodels.app.

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