IMLInvestment
Model Library

Reference desk / edition 2026.10

Investment model catalogue

Sixteen original calculation cards, from allocation baselines to risk and implementation measures.

Synthetic educational references. Not a fitted investment strategy, forecast, provider model or client return. First publication: 2026-10-16. Model and engine version 1.0.0.

01

Equal-weight allocation

A transparent baseline that assigns identical capital weights to a declared number of assets.

Allocation referencesv1.0.0
02

Inverse-volatility weights

Normalize inverse standalone volatility while keeping the missing correlation assumption visible.

Allocation referencesv1.0.0
03

Two-asset minimum variance

Inspect the analytic long-only variance minimum for exactly two exposures.

Allocation referencesv1.0.0
04

Identity-target covariance shrinkage

Apply a declared convex shrinkage intensity without pretending it was statistically estimated.

Statistical estimationv1.0.0
05

Two-asset portfolio variance

Reconcile capital weights and covariance into a portfolio variance and volatility at the input frequency.

Risk measurementv1.0.0
06

Euler volatility contributions

Attribute two-asset portfolio volatility to signed Euler contributions without equating risk share and capital share.

Risk measurementv1.0.0
07

Capped volatility scaling

Translate a stated volatility estimate and target into a capped proportional exposure reference.

Risk measurementv1.0.0
08

Zero-mean EWMA variance

Track an explicit initial variance through a zero-mean exponentially weighted update.

Statistical estimationv1.0.0
09

Univariate least-squares fit

Inspect an in-sample slope, intercept and fit summary for aligned numerical pairs.

Statistical estimationv1.0.0
10

Single-benchmark return beta

Calculate a descriptive raw-return sensitivity to one aligned benchmark series.

Statistical estimationv1.0.0
11

Sample tracking error

Measure dispersion of aligned arithmetic portfolio-minus-benchmark returns with explicit annualization.

Validation examplesv1.0.0
12

Arithmetic information ratio

Relate mean active return to sample active-return dispersion under one declared scaling convention.

Validation examplesv1.0.0
13

Geometric return chain

Reconcile sequential decimal returns to terminal wealth and an explicitly annualized equivalent.

Validation examplesv1.0.0
14

Observed-path maximum drawdown

Find the deepest peak-to-observation decline in a finite nonnegative wealth path.

Risk measurementv1.0.0
15

Two-sided and one-way turnover

Measure traded capital fractions from aligned drifted and target weights under a stated convention.

Implementation contractsv1.0.0
16

Linear rebalance cost drag

Convert a symmetric per-side basis-point cost and traded weights into a one-period return approximation.

Implementation contractsv1.0.0