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Quant Systems Lab · Control Systems for Quantitative Finance

Risk-Neutral Measure (Intuition)

A probability tilt that replaces real-world drift with the risk-free rate so discounted prices become martingales.

Explanation

Under the physical measure P, asset prices drift at the real-world rate μ, which reflects risk premia.

Under the risk-neutral measure Q, we tilt probabilities so that discounted prices have zero drift; effectively μ is replaced by r.

Pricing by arbitrage uses expectations under Q, not P: the fair price is the discounted risk-neutral expectation of future payoffs.


risk-neutralmeasurepricingmartingale
Interactive visualisation

This diagram compares physical (P) and risk-neutral (Q) distributions for a GBM-style asset. Under Q the drift is r, so the discounted price becomes a martingale while volatility stays the same.

e-rTEQ[S_T] ≈ 100.00
Terminal price S_TProbability density10581071552032523002.0e-21.0e-20.0e+0E_P[S_T]E_Q[S_T]physical P (μ)risk-neutral Q (r)Under Q: e-rTEQ[S_T] = S₀
Numbers
EP[S_T] ≈ 108.33 (drift μ)
EQ[S_T] ≈ 103.05 (drift r)
e-rTEQ[S_T] ≈ 100.00 vs S₀ = 100.00
Ratio EP[S_T] / EQ[S_T] ≈ 1.051
Interpretation

The blue density is the physical distribution under P, where the drift μ includes risk premia. The green dashed density is the risk-neutral distribution under Q, where the drift is pinned to the risk-free rate r with the same volatility σ.

Pricing by arbitrage uses expectations under Q: discounting EQ[S_T] at r gives back S₀, so the discounted price has zero drift (a martingale). Under P the asset may drift faster or slower, but that affects forecasting, not fair pricing. The key mental model is: P for risk and inference, Q for pricing.