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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
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Concept · Stock-level risk (bottom-up)

Return attribution

Splitting a stock's *realized return* into contributions from each factor. Distinct from variance: a name can be variance-dominated by market yet return-driven by residual.

In depth

Splits a realized return (not variance) into per-factor contributions. Over multiple periods the contributions compound, so RiskModels uses a geometric bridge to keep them additive.

Compute it with the API

GET /api/returns-decomposition

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

Full API docs ↗

In the methodology

Multi-period attribution: the geometric bridge →

Referenced by (0)

No working paper references this concept yet.

Related concepts

Factor modelBeta (β)ResidualIdiosyncraticAlpha (α)Hedge ratioVariance decomposition
← Variance decompositionStock-level risk (bottom-up) · 8 / 8Factor model →
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