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COMMpractitionermodel

Mean Reversion

Model commodity prices returning toward an equilibrium level.

Reviewed 2026-08-10TheQuantBateman ResearchReading note
01Intuition

Start from the observable dynamics.

Separate state variables, dynamics and valuation measure before looking at a calibration. Model commodity prices returning toward an equilibrium level. A fitted surface is evidence about today's prices, not proof of tomorrow's dynamics.

ONE-LINE DEFINITION

Model commodity prices returning toward an equilibrium level.

02Mathematics

Write the state process and pricing map.

dXt=κ(θ−Xt)dt+σdWtdX_t=\kappa(\theta-X_t)dt+\sigma dW_t
Notation and units

Decimal rates and volatilities, year-fraction time and continuous compounding unless stated otherwise.

03Assumptions

Identify what the model cannot represent.

01

The state dynamics and valuation measure are stated independently of the calibration instruments.

02

Parameters are treated as deterministic over the pricing run unless the model says otherwise.

03

A calibration fit does not validate out-of-sample dynamics or hedge performance.

“An unstated convention is a future reconciliation break.”— THEQUANTBATEMAN
04Market use

Separate calibration fit from dynamics.

Mean Reversion is used to translate liquid COMM calibration instruments into prices and sensitivities. Residuals, parameter stability and hedge behaviour must be reviewed together.

Intuition→Mathematics→Implementation→Desk risk
05Desk view
FRONT OFFICE VIEW

Challenge the hedge outside the fitted slice.

A good COMM calibration explains today's instruments; the hedge reveals whether the assumed dynamics survive tomorrow's move.

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06Related

Compare the adjacent model family.