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The Black–Scholes equation, via Itô's lemma

Statement

Suppose the stock price follows geometric Brownian motion dSt=μSt dt+σSt dWtdS_t = \mu S_t\,dt + \sigma S_t\,dW_t, and let V(S,t)V(S,t) be the no-arbitrage price of a derivative paying a function of STS_T at maturity. Then VV must satisfy ∂V∂t+12σ2S2∂2V∂S2+rS∂V∂S−rV=0\dfrac{\partial V}{\partial t} + \dfrac{1}{2}\sigma^2 S^2 \dfrac{\partial^2 V}{\partial S^2} + rS\dfrac{\partial V}{\partial S} - rV = 0.

Why is it true?

Ordinary calculus says the change in V(St,t)V(S_t,t) comes only from ∂V/∂t\partial V/\partial t and ∂V/∂S\partial V/\partial S. But StS_t jitters randomly, and Itô's lemma shows that this randomness feeds back into VV through an extra term built from the second derivative ∂2V/∂S2\partial^2 V/\partial S^2 — a correction with no analogue in ordinary calculus. Once that extra term is accounted for, a portfolio that holds the derivative and exactly the right amount of stock can be made completely riskless, and a riskless portfolio can only earn the risk-free rate rr.

Proof sketch

Apply Itô's lemma to V(St,t)V(S_t,t), treating VV as a smooth function of the random process StS_t and of time. It states dV=(∂V∂t+μSt∂V∂S+12σ2St2∂2V∂S2)dt+σSt∂V∂S dWtdV = \left(\dfrac{\partial V}{\partial t} + \mu S_t \dfrac{\partial V}{\partial S} + \dfrac{1}{2}\sigma^2 S_t^2 \dfrac{\partial^2 V}{\partial S^2}\right)dt + \sigma S_t \dfrac{\partial V}{\partial S}\,dW_t. Unlike ordinary calculus, an extra 12σ2St2∂2V/∂S2\frac{1}{2}\sigma^2 S_t^2 \partial^2 V/\partial S^2 term appears, coming from the nonzero quadratic variation of Brownian motion.

Now build a hedged portfolio Π=V−ΔSt\Pi = V - \Delta S_t, holding one derivative and short Δ\Delta shares of stock, with Δ\Delta chosen to be ∂V/∂S\partial V/\partial S. Its change is dΠ=dV−Δ dStd\Pi = dV - \Delta\,dS_t. Substituting the expression for dVdV and dSt=μSt dt+σSt dWtdS_t = \mu S_t\,dt + \sigma S_t\,dW_t, and choosing Δ=∂V/∂S\Delta = \partial V/\partial S, the random terms σSt∂V/∂S dWt\sigma S_t \partial V/\partial S\,dW_t and −ΔσSt dWt-\Delta \sigma S_t\,dW_t cancel exactly.

What remains is dΠ=(∂V∂t+12σ2St2∂2V∂S2)dtd\Pi = \left(\dfrac{\partial V}{\partial t} + \dfrac{1}{2}\sigma^2 S_t^2 \dfrac{\partial^2 V}{\partial S^2}\right)dt, a purely deterministic (riskless) change over the instant dtdt, with no dependence left on the stock's drift μ\mu.

A riskless portfolio must earn exactly the risk-free rate, or an arbitrage would be possible by borrowing or lending against it. So dΠ=rΠ dt=r(V−St ∂V/∂S) dtd\Pi = r\Pi\,dt = r(V - S_t\,\partial V/\partial S)\,dt. Equating the two expressions for dΠd\Pi and dividing by dtdt gives ∂V∂t+12σ2S2∂2V∂S2=rV−rS∂V∂S\dfrac{\partial V}{\partial t} + \dfrac{1}{2}\sigma^2 S^2 \dfrac{\partial^2 V}{\partial S^2} = rV - rS\dfrac{\partial V}{\partial S}, which rearranges into the Black–Scholes equation.

Topics that use this theorem

Step-by-step proofs

No step-by-step proof yet for this theorem.

References

  1. Fischer Black, Myron Scholes (1973). The Pricing of Options and Corporate Liabilities · DOI:10.1086/260062
  2. John C. Cox, Stephen A. Ross, Mark Rubinstein (1979). Option Pricing: A Simplified Approach · DOI:10.1016/0304-405X(79)90015-1
  3. Steven E. Shreve (2004). Stochastic Calculus for Finance II: Continuous-Time Models