Black–Scholes Delta Hedging Error Under Volatility Mismatch
Summary
The document derives the hedging error that arises when a call is priced with Black–Scholes implied volatility but the underlying stock realizes a different volatility. The option price satisfies the Black–Scholes partial differential equation using the implied volatility, while the stock follows a process driven by realized volatility. Applying Ito’s formula to the option value under that realized process gives its actual change over a time step.
The stock and cash holdings in a continuous delta hedge have the same Brownian exposure as the option, so those stochastic terms cancel when comparing the option’s change with the hedge portfolio’s profit and loss. Substituting the pricing equation leaves an error proportional to the difference between realized and implied variance, weighted by the option’s gamma and the squared stock price. The cumulative expression assumes continuous hedging and the stated stock model; discrete rebalancing and other sources of error are not addressed.
Key ideas
- The Black–Scholes pricing equation uses the volatility assumed in the option price.
- Ito’s formula for the option’s realized change uses the stock’s realized volatility.
- The delta hedge and option share the same Brownian exposure, which cancels in the hedging error.
- The remaining error depends on the variance mismatch, gamma, and squared stock price.
- The cumulative formula describes continuous hedging under the specified stock dynamics.
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# Delta hedging error in B-S (hedging with implied vol) question
# Delta hedging error in B-S (hedging with implied vol) question
I have been thinking about this for a while and am at my wits end. Now assume I am pricing a call at implied vol $s$, whereas the realized volatility is $σ$. Let $C$ be the incorrect pricing function.
Let me first write how this function is born. The hedged portfolio is:
$dC-C_{S}dS=C_{t}dt+0.5C_{SS}s^2dt=r(C-SC_S)dt \tag 1$
Now the solution to this ensures that the second equation equals the 3rd, but neither of them are equal to the first.
My problem is with understanding Ito's lemma for $C$, which writes:
$dC(t,S(t,w))=C_tdt+C_SdS(t,w)+0.5C_{SS}S^{2}(t,w)σ^{2}dt \tag 2$
This statement requires no financial argument and is true as soon as $C$ is a function of $t$, $S_t$.
The problem is that in theory, one generally uses (2) to calculate hedging error.
However, the trader uses the PDE solution formed from equation (1) to calculate the price tomorrow. That is just the Black Scholes price at the same implied vol, so the increment in the marked price is not consistent with (2). At least not in a way obvious to me.
So how does the hedging error come from (2)?
## Answer by Kurt G. (score 5)
https://quant.stackexchange.com/a/68306
If the realized vol is $\sigma$ then your stock follows the GBM $$ \frac{dS}{S}=r\,dt+\sigma\,dW_t\,. $$ If you price your call $C(t,x)$ with implied vol $s$ and using the Black-Scholes formula it satisfies the PDE $$\tag{1} \partial_t C+\frac{1}{2}s^2x^2\partial^2_xC+x\,r\,\partial_xC-r\,C=0\,. $$ The hedge portfolio consists of $\partial_x C$ amounts of stock $S_t$ and $\frac{C-S_t\,\partial_xC}{B_t}$ amounts of the money market account $B_t=e^{rt}\,.$
In the time step from $t$ to $t+dt$ the PnL from continuous delta hedging is \begin{align} &\partial_x C\,dS_t+\frac{C-S_t\,\partial_xC}{B_t}\,dB_t=rS_t\,\partial_x C\,dt+\sigma S_t\,\partial_x C\,dW_t+r(C-S_t\,\partial_xC)\,dt\\ &\quad=\underbrace{\sigma S_t\,\partial_x C\,dW_t+r\,C\,dt}_{d\Pi_t}\,. \end{align} The option value changes by $$ dC=\partial_tC\,dt+\frac{1}{2}\sigma^2S_t^2\partial_x^2C\,dt+\sigma S_t\,\partial_xC\,dW_t+r\,S_t\,\partial_xC\,dt $$ which follows from Ito's formula applied to $C(t,S_t)$ where $S_t$ is driven by the realized vol $\sigma\,.$
Observe that $d\Pi_t$ and $dC$ have identical $dW$-terms which cancel in the following. Namely, the hedging error is \begin{align} dC-d\Pi_t&=\partial_tC\,dt+\frac{1}{2}\sigma^2S_t^2\partial_x^2C\,dt+r\,S_t\,\partial_xC\,dt-r\,C\,dt\,. \end{align} Using (1) this becomes \begin{align} dC-d\Pi_t&=\frac{1}{2}(\sigma^2-s^2)S_t^2\partial_x^2C\,dt\,. \end{align} The cumulative hedging error is $$ C(T,S_T)-\Pi_T=\frac{\sigma^2-s^2}{2}\int_0^TS_t^2\partial_x^2C(t,S_t)\,dt\,. $$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.