EMPIRICAL PROTOCOL

Methodology for Auditing Screening Assumptions

A transparent framework for deconstructing how slight formula deviations alter candidate selections, eliminating subjective filtering bias.

- RESEARCH FRAMEWORK -

Deconstructing universe shifts through isolated assumptions

Rather than predicting directional price paths, our analytical engine treats parameter modifications as empirical stress tests. We record exactly what enters and leaves a criteria set when a solitary threshold is altered.

Stage 01 • Boundary Demarcation

Defining Deterministic Inception Pools

Every audit begins with a static parent cohort. We eliminate survivor-biased registries by establishing frozen snapshot intervals across multi-cap indices. Ambiguous listings without standard audited disclosure filings are segregated prior to primary metric evaluation.

Benchmark Scope: Russell 3000 Constituents • Audit Point: Point-in-Time Point Data
Protocol Requirement
  • Static baseline timestamp applied across all symbols
  • Exclusion of unverified corporate reclassifications
  • Elimination of retrospective adjustments to restated periods
- FOUNDATIONAL PILLARS -

Rigor standards governing every audit

Deterministic Datasets

All baseline configurations use immutable snapshots with preserved survivorship records, ensuring that historical criteria changes remain verifiable and fully reproducible.

Single-Variable Isolation

Compound filtering often masks contradictory variables. We exclusively perturb one parameter per iteration to measure direct attribution of result shifts.

Asymmetric Sensitivity

We quantify the exact threshold fragility where minute adjustments in cutoffs trigger disproportionate portfolio composition swings.

- AUDIT BENCHMARKS -

Quantitative tracking metrics

Standardized formulas used across our diagnostic reports to assess how sensitive any screening criteria set is to parameter changes.

01
Ratio Measurement

Universe Turnover Delta

Measures the percentage of entities substituted when modifying a single condition by a fixed increment:

Turnover = (Excluded + Admitted) / 2N_base
Target benchmark: Normalized sensitivity index
02
Concentration Gauge

Sector Displacement Ratio

Calculates whether an isolated parameter switch causes systematic sector drift or uniform cross-industry attrition:

Displacement = Max(Δ SectorWeight_k)
Target benchmark: Identifies latent sector bias
03
Boundary Stability

Cutoff Elasticity Score

The rate of candidate attrition relative to small 5% adjustments in arbitrary threshold boundaries:

Elasticity = (% Δ Pool) / (% Δ Cutoff)
Target benchmark: Detects cliff-edge fragility
- EXPLORE THE SUITE -

Inspect interactive screening sensitivity studies

Examine real case examinations showing how simple adjustments to accounting denominators reshape candidate pools across major exchanges.