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Delta-Hedged Option PnL from Realized Versus Implied Volatility

Article Quant Q&A · Author: SwaptionGamma

Summary

The discussion compares two ways to express the profit and loss of a long delta-hedged option when realized volatility exceeds implied volatility: marking the option using realized volatility, or retaining the implied-volatility mark and allowing delta-hedging gains and losses to accrue. The answer gives the Black–Scholes hedge PnL as proportional to the difference between squared realized and implied volatility, integrated against the option’s gamma exposure along the underlying price path.

This shows why the hedge result depends on the path and is not generally captured by a simple gamma-times-volatility-difference expression. The response also notes that option vega itself varies nonlinearly with volatility, and relates gamma exposure to vega in Black–Scholes. These relationships help explain why a simplistic linear vega estimate need not match cumulative hedging PnL. The analysis assumes the Black–Scholes framework and does not provide a numerical example or address transaction costs, discrete hedging, or model risk.

Key ideas

  • Black–Scholes delta-hedging PnL depends on the difference between realized and implied variance and on gamma exposure through time.
  • The hedge PnL is path dependent because gamma exposure changes with the underlying price and time.
  • Vega changes with volatility, so a vega-times-volatility-change estimate is not generally linear in realized volatility.
  • The proposed simplified gamma estimate is related to, but not identical to, the full hedging PnL expression.

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Full text
# Realizing the same PnL as Gamma Vs Vega


# Realizing the same PnL as Gamma Vs Vega












Consider a delta hedged option postion. Futhermore assume that I can perfectly forecast realized volatility over the life of the option.

Vol I buy the option at = Implied Vol (IV)

Realized volatility over the life of the option = Realized Vol (RV) Futhermore, suppose RV > IV

Now, there are 2 ways in which I can monetize RV being greater than IV.

Method 1-> I remark the vol of the option to RV (realize the pnl as vega PnL today).

Then, given that I am heding the option using the correct realized volatility, my cumulative delta hedging pnl at expiry will be known, and should perfectly offset my theta.

In this case, PnL realized = Vega x (RV-IV)

This pnl will be a linear function of RV.

Method 2-> I do not remark my vol, and delta hedge the option using the IV as the marked vol.

In this case, of course, my pnl will be path dependent, but the expected pnl would be =

0.5 x $Gamma x (RV-IV)

The gamma PnL, of course, is a quadratic function of RV.

My questions are ->

a. Is the pnl in method 1 = expected PnL in method 2 ?

b. If yes, how is the PnL in method 1 a linear function of RV, while the PnL in method 2 a quadratic function of RV.

Elaborating on question b->

A common heuristic seems to be.

I pay 100cents for a swaption with IV=2bp/day

If realized vol = 2.1bp/day, total PnL = 10c

If realized vol = 2.2bp/day, total PnL = 30c

So it's not a linear function of realized vol. But if I remark to RV and realized the PnL as a vega pnl, the pnl will be a linear function of RV (since an atm straddle is a linear function of volatility).

## Answer by Kurt G. (score 2)

https://quant.stackexchange.com/a/69598

It is well known that in the Black Scholes model with implied vol $s$ and realized vol $\sigma$ the PnL from delta hedging a long position in an option is

$$\tag{1} C(T,S_T)-\Pi_T=\frac{\sigma^2-s^2}{2}\int_0^TS_t^2\partial_x^2C(t,S_t)\,dt\,. $$ (see this post). The formula you use in Method 2 is similar but not exactly equal to this. The option price $C(t,S_t)$ in (1) uses implied vol $s$ throughout. If I understand Method 1 correctly you use the realized vol $\sigma$ to calculate $C(t,S_t)$ throughout and otherwise perform the same hedging strategy. This means that in the derivation that led to (1) we have $\sigma=s$ and therefore a zero hedging PnL. That's also intuitively clear because knowing the realized vol $\sigma$ in advance and using that to price and hedge the option will exactly replicate the final payoff $C(T,S_T)\,.$ I do not think that the expectation of (1) is zero. In fact it is known that if the realized vol $\sigma$ is larger than the implied vol $s$ there is almost always a profit from the delta hedging strategy of a long gamma position.

In the Black Scholes model with continuous dividend yield $q$ the following formulas hold for calls and puts: \begin{align} \text{ gamma }\quad&\partial_x^2C(t,S_t)=e^{-q(T-t)}\frac{\phi(d_1)}{S_t\sigma\sqrt{T-t}}\,,\\[3mm] \text{ vega }\quad&\partial_\sigma C(t,S_t)=S_te^{-q(T-t)}\phi(d_1)\sqrt{T-t}\,. \end{align}

- Because $d_1=\pm\frac{\ln(S_t/K)+\sigma^2(T-t)/2}{\sigma\sqrt{T-t}}$ the vega depends nonlinearly on vol. Hence, even the simplistic PnL $\text{vega}\cdot (\sigma-s)$ depends nonlinearly on $\sigma\,.$

- There is a simple relationship $S^2_t\partial_x^2C(t,S_t)\sigma(T-t)=\partial_\sigma C(t,S_t)$ between gamma and vega. We can therefore write (1) as $$\tag{2} C(T,S_T)-\Pi_T=\frac{\sigma^2-s^2}{2}\int_0^T \frac{\partial_\sigma C(t,S_t)}{\sigma(T-t)}\,dt\,. $$ which is similar but not exactly equal to your Method 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.