Relating Option Delta to Strike Sensitivity Under Volatility Skew
Summary
The document derives a relationship between an option’s sensitivity to the underlying price and its sensitivity to strike. Under a space homogeneity assumption for log price dynamics, scaling both spot and strike by the same factor scales a European vanilla option’s value by that factor. Euler’s theorem then gives a relation connecting option value, spot, delta, and the strike derivative.
For a call, the document uses the negative strike derivative as the digital call value. It adds the effect of implied volatility changing with strike, expressed through vega and the volatility skew, to connect the digital value with the call price and delta. The result depends on the homogeneity assumption and the stated pricing setup; skew must be included, and the simplified Black–Scholes sensitivities alone do not capture it.
Key ideas
- If option value is homogeneous of degree one in spot and strike, Euler’s theorem links its spot and strike derivatives.
- The strike derivative can be expressed using option value, spot, and delta under that assumption.
- A call’s negative strike derivative corresponds to the value of a digital call.
- When implied volatility varies by strike, the digital value also includes vega times the volatility skew.
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Full text
# Mathematical equation relating $\frac{dV}{dS}$ to $\frac{dV}{dK}$
# Mathematical equation relating $\frac{dV}{dS}$ to $\frac{dV}{dK}$
Please help me figure out what is the mathematical relationship between $\frac{dV}{dS}$ (Delta) and $\frac{dV}{dK}$ ($K$=strike), taking into account vol skew.
I ask this because I want to figure out the value of a digital at a certain strike, given that I know the vanilla option delta there, and also I have the volatility smile.
I know that there is the equation: $$ \frac{d V}{d S} = \frac{\partial V}{\partial S} + \frac{\partial V}{\partial \sigma} \frac{\partial \sigma}{\partial S} , $$ so I suppose there is something similar for what I need.
As I recall , $dV/dK = N(d2)$ and $dV/dS = N(d1)$ (ignoring dividends and risk-free rates), so I just need some simple approximation linking $\frac{dV}{dS}$ and $\frac{dV}{dK}$ (approximation if an exact relationship is too complicated).
## Answer by Quantuple (score 11, accepted)
https://quant.stackexchange.com/a/35310
If your working modelling assumptions are such that the dynamics of the log price process $\ln(S_t)$ is space homogeneous, you have that the price of a European vanilla option is itself a space-homogeneous function of degree one. You can then appeal to Euler theorem to get the relationship you need.
More specifically, define the price at time $t$ of the option expiring at $T$ and struck at $K$ as
$$ V = DF(t,T)\, \Bbb{E}_t^\Bbb{Q} \left[ (w(S_T - K))^+ \right] := V(S_t, K, T-t, \theta) $$ where $\theta$ figures the relevant model parameters and $w=\pm1$ the call/put factor. Now under the space homogeneity assumption we've just mentioned, you can write that $$ V(xS_t,xK,T-t,\theta) = x V(S_t,K,T-t,\theta), \forall x \geq 0$$
Taking the derivative with respect to $x$ on both sides and then setting $x=1$ gives:
$$ \frac{\partial V}{\partial S} S + \frac{\partial V}{\partial K} K = V $$ hence $$ \frac{\partial V}{\partial K} = \frac{1}{K} \left( V - \frac{\partial V}{\partial S} S \right) $$
which is what you are looking for.
And indeed if you are pricing a digital call ($D$ below) for instance, using the notation $C$ to denote the European call price \begin{align} D &= -\frac{dC}{dK} \\ &= -\left[ \frac{\partial C}{\partial K} + \frac{\partial C}{\partial \Sigma} \frac{\partial \Sigma}{\partial K} \right] \\ &= -\left[ \frac{1}{K}\left( C - \Delta S\right) + \nu \frac{\partial \Sigma}{\partial K} \right] \end{align} where for a maturity $T$ and strike level $K$, $C$ is the corresponding European call price, $\Delta$ its BS Delta, $\nu$ its BS Vega and $\partial \Sigma/\partial K$ the IV skew. We have moved from the second line to the third using the result which we just derived.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.