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Delta Hedging a European Put in the Black-Scholes Market

Article Quant Q&A · Author: Kelly394

Summary

The document derives a self-financing replicating portfolio for a European put in a Black-Scholes market with a risky asset and a deterministic bank account. Applying Itô’s lemma to the option value and matching the diffusion terms identifies the risky-asset holding with the option’s delta. The cash-account holding then follows from the portfolio value constraint.

Matching the drift terms yields the Black-Scholes pricing equation, with the risk-free rate replacing the stock’s physical expected return. The treatment is a symbolic derivation rather than a numerical example: it states the portfolio weights in terms of the option value and its derivative but does not write out the closed-form put formula. It assumes continuous trading, self-financing, and the idealized Black-Scholes setting, so market frictions and discrete hedging risk are outside its scope.

Key ideas

  • The replicating portfolio holds the option delta units of the risky asset.
  • The remaining option value is allocated to the deterministic risk-free asset.
  • Matching diffusion terms under Itô’s lemma determines the risky-asset hedge.
  • The drift terms imply the Black-Scholes pricing partial differential equation.
  • The derivation assumes continuous trading in an idealized market.

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Full text
# Finding the replicating portfolio a European T-claim (put)


# Finding the replicating portfolio a European T-claim (put)












I have

$$dX_0(t) = ρX_0(t)dt ; \qquad X_0(0) = 1\\ dX_1(t) = αX_1(t)dt + βX_1(t)dB(t) ; \qquad X_1(0) = x_1 > 0$$

as the classical Black-Scholes market. I a trying to look for the replicating portfolio $\theta(t) = (\theta_0(t),\theta_1(t))$ for the following European T-claim:

$F(\omega) = (K -X_1(T,\omega))^+$ $\qquad$ (the European put)

Can someone please help me with this?

## Answer by user16651 (score 1, accepted)

https://quant.stackexchange.com/a/29488

$$dX_0(t)=\rho\,X_0(t)\,dt$$ thus $$X_0(t)=e^{\rho t}$$ To replicate the derivative $V=F(t,X_1(t))$ we form a self-financing portfolio with the stochastic process $X_1$ and deterministic process $X_0$ in the right proportion.

Hence we need to use the replicating $(\theta_0(t),\theta_1(t))$. The self-financing assumption means that $$V=\theta_1(t)X_1(t)+\theta_0(t)X_0(t)\tag 0$$ so

$$dV=\theta_1(t)dX_1(t)+\theta_0(t)dX_0(t)\tag 1$$ by application of Ito's lemma, we have $$dV=\left(\frac{\partial V}{\partial t}+\alpha X_1(t)\frac{\partial V}{\partial X_1}+\frac{1}{2}\beta^2X_1^2(t)\frac{\partial^2 V}{\partial X_1^2}\right)dt+\beta X_1(t)\frac{\partial V}{\partial X_1}dB_t\tag 2$$ We assume the portfolios are self-financing, which implies that changes in portfolio value are due to changes in the value of the three instruments, and nothing else.

Under this setup, any of the instruments can be replicated by forming a replicating portfolio of the other two instruments, using the correct weights.

$(1)$ and $(2)$ $$\left(\frac{\partial V}{\partial t}+\alpha X_1(t)\frac{\partial V}{\partial X_1}+\frac{1}{2}\beta^2X_1^2(t)\frac{\partial^2 V}{\partial X_1^2}\right)dt+\beta X_1(t)\frac{\partial V}{\partial X_1}dB_t=\\(\alpha\theta_1(t) X_1(t)+\rho\theta_0(t) X_0(t))dt+\beta\theta_1(t) X_1(t)dB_t\tag 3$$ so $$\theta_1(t)=\frac{\partial V}{\partial X_1}\tag 4$$ Substituting in Equation $(4)$, we have $$\left(\frac{\partial V}{\partial t}+\frac{1}{2}\beta^2X_1^2(t)\frac{\partial^2 V}{\partial X_1^2}\right)=\rho\theta_0(t) X_0(t)\\ \qquad\qquad\qquad\qquad\qquad\qquad\qquad\qquad\quad=\rho\theta_0(t)\left(\frac{V-\theta_1(t)X_1(t)}{\theta_0(t)}\right)\\ \\ \qquad\qquad\qquad\qquad\qquad\qquad\quad\,\,\,\,=\rho V-\rho\theta_1(t)X_1(t)\\ \\ \\ \qquad\qquad\qquad\qquad\qquad\qquad\qquad=\rho V-\rho\frac{\partial V}{\partial X_1}X_1(t) $$ in other words $$\frac{\partial V}{\partial t}+\rho X_1(t)\frac{\partial V}{\partial X_1}+\frac{1}{2}\beta^2X_1^2(t)\frac{\partial^2 V}{\partial X_1^2}-\rho V=0\tag 5$$ Indeed

> $$\theta_0(t)=\frac{V-\theta_1(t)X_1(t)}{X_0(t)}\\ \\ \theta_1(t)=\frac{\partial V}{\partial X_1} $$

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This summary was written by Stratmill's research agent from the original; it is not a copy of the source.