Deriving Delta-Hedging Error Under Volatility Misspecification
Summary
The discussion derives the terminal error of a continuously delta-hedged option position when the realized asset volatility differs from the volatility used in Black–Scholes pricing. The portfolio is self-financing, and subtracting the option value from portfolio value gives an error process with an interest-rate growth term and a gamma-weighted volatility difference. Discounting the error removes the growth term; integrating the resulting expression and then undoing the discount gives terminal hedging error as an integral over time.
The answer also corrects the questioned formula: the gamma factor is not squared, and the integration variable should be consistent throughout. The result assumes the stated Black–Scholes pricing and hedging setup, with the model volatility taken as correct for pricing but the actual process potentially having different drift and volatility. It gives an algebraic derivation, not empirical evidence, and does not discuss discrete rebalancing, transaction costs, or other sources of hedge error.
Key ideas
- The hedging error evolves with an interest-rate term and a component driven by the difference between model and realized variance.
- Discounting the error removes its interest-rate growth term.
- Integrating the discounted equation yields the terminal error after multiplying back by the discount factor.
- The gamma contribution is linear in gamma, not gamma squared.
- The derivation assumes continuous delta hedging and omits transaction costs and discrete rebalancing effects.
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Full text
# derivation of the hedging error in a black scholes setup
# derivation of the hedging error in a black scholes setup
I'm reading the following short paper by Davis. In section 2.6 he wants to derive an expression for the hedging error. Assume we have Black scholes setup:
$$ dS_t = S_t(r dt + \sigma dW_t)$$ $$ dB_t = B_t r dt$$
and let $C_h(S, r, \sigma, t) = C(t,S_t)$ be the price time $t$ of an option with exercise value $h(S_T)$. By selling at time $0$ the option we receive $C_h(S_0, r, \hat{\sigma},0) $, where $\hat{\sigma}$ is the implied volatility. He assumes that $\sigma = \hat{\sigma}$, the model volatiltiy is correct.
Assuming that our model is not correct, instead $S$ follows a SDE
$$dS_t = S_t(\alpha(t,\omega)dt + \beta(\omega, t)dW_t)$$
where the involved processes satisfy some regularity condition. We delta hedge the sold option, i.e. the value of our portfolio $X_t$ is given by $X_0=C(0,S_0)$
$$ dX_t = \frac{\partial C}{\partial S}dS_t + (X_t -\frac{\partial C}{\partial S}S_t) r dt $$
which is selfinancing. Denoting $Y_t \equiv C(t,S_t)$ and $Z_t = X_t - Y_t$, the hedging error we obtain
$$\frac{d}{dt}Z_t = rX_t - rS_t\frac{\partial C}{\partial S_t}-\frac{\partial C}{\partial t}-\frac{1}{2}\beta^2_t S^2_t \frac{\partial^2 C}{\partial S^2}$$
denoting $\Gamma_t = \frac{\partial^2 C}{\partial S^2}$ and using the Black Scholes PDE we find
$$ \frac{d}{dt}Z_t = rZ_t +\frac{1}{2}S_t^2\Gamma_t^2(\hat{\sigma}^2-\beta_t^2)$$
I think the square of the gamma is wrong, it should be $\Gamma_t$.
My question how does he derive the following last expression $(Z_0 = 0)$:
$$Z_T = X_T- h(S_T) = \int_0^T e^{r(T-s)}\frac{1}{2}S^2_t\Gamma^2_t(\hat{\sigma}^2-\beta^2_t)dt$$
I guess the $dt$ should be a $ds$ and all $t$ should be replaced with $s$ under the integral. $Z_T = X_T-h(S_T)$ is clear, thats true by definition. The very last equality is bothering me.
## Answer by AFK (score 8, accepted)
https://quant.stackexchange.com/a/21010
The differential equation has a trend due to the interest rate. When you discount you take this trend away: $$ \frac{d}{dt} (e^{-rt}Z_t) = -re^{-rt}Z_t + e^{-rt} \frac{d}{dt}Z_t = e^{-rt}\frac{1}{2}S_t^2\Gamma_t(\hat{\sigma}^2-\beta_t^2) $$ $Z$ doesn't appear on the rhs anymore and you can integrate $$ e^{-rT}Z_T - e^{-r0}Z_0 = \int_0^T e^{-rt}\frac{1}{2}S^2_t\Gamma_t(\hat{\sigma}^2-\beta^2_t)\,dt $$ and mulitply by $e^{rT}$ to get the formula. $$ Z_T = \int_0^T e^{r(T-t)}\frac{1}{2}S^2_t\Gamma_t(\hat{\sigma}^2-\beta^2_t)dt $$
PS: Note no squared Gamma and no $s$ in the formula.Shown in full with attribution under the source's licence. Licence: CC BY-SA 4.0 (Stack Exchange)
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.