Model-Independent Properties of Vanilla Option Greeks
Summary
The document surveys what can be inferred about vanilla option prices and Greeks without specifying a complete pricing model. It highlights convexity of option prices in strike, links between spot and strike sensitivities under homogeneity assumptions, and conditions under which delta is bounded by payoff slopes. It also discusses positive gamma and positive vega for convex payoffs in specified settings, alongside the limits of those claims.
The answer points to results in the option-pricing literature, including work on general option-price properties and robustness beyond the Black–Scholes framework. It stresses that some familiar conclusions need assumptions: homogeneity can fail when the underlying does not have constant returns to scale, and delta bounds depend on restrictions such as no holding costs or particular diffusion models. The source does not derive each result in detail, and the initial discussion’s suggested theta–vega relation is not established by the response. These properties therefore guide reasoning but do not replace checking the model and conditions for a particular instrument.
Key ideas
- Vanilla option prices are convex in strike under standard no-arbitrage conditions.
- Positive gamma and positive vega for convex payoffs hold under specified model assumptions.
- Homogeneity in spot and strike depends on constant returns to scale and can fail in some models.
- Delta bounds depend on assumptions about holding costs and the underlying price dynamics.
- Model-independent option properties provide useful constraints, but their conditions must be checked before applying them.
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# How much can be said about the Greeks without picking a model?
# How much can be said about the Greeks without picking a model?
Let $C(S, K, \sigma, r, T)$ be the price of a call option. How much can be said about the Greeks without picking a model? Or at least without full Black-Scholes?
Below, I write down everything I know in the hopes that
- people can refer me to a book that does similar things
- it will be useful for people reading it in the future
Delta
$\Delta = \frac{\partial C}{\partial S}$
The amount of stock you should hold for continuous hedging (no t-costs)
$\frac{\partial C}{\partial K} = \frac{1}{K} (C- S \frac{\partial C}{\partial S} ) $
Proof: assuming that $C$ is homogeneous in $S$ and $K$, apply Euler's homogeneity theorem.
The bull spread tells us that $\frac{\partial C}{\partial K}$ is positive. (You could also justify this for $\Delta$ directly with hedging). Hedging shows that $\Delta$ is positive and $\Delta|_{S = 0} = 0$, $\Delta|_{S=\infty} = 1$.
Gamma
$\Gamma = \frac{\partial^2 C}{\partial S ^2}$
This is also for hedging
$$C(S+dS) - C(S) \approx \Delta(S) dS + \frac{1}{2}\Gamma(S)dS^2$$
but since you can't just use the underlying, it's a little less clear to me. The butterfly spread shows that $\frac{\partial^2 C}{\partial K ^2} = \left( \frac{K}{S}\right)^2 \Gamma$ is positive.
Rho
$$\rho = \frac{\partial C}{\partial r}$$
$r$ can't be a parameter of a truly model independent $C$, so I guess I made the implicit assumption the bond price evolves as $d B_t = r B_t dt$ so $B_t = e^{-r (T - t)}$.
I suppose it would make more sense to have $C$ as a function of $B$ rather than $r$, but it's very similar to $\rho$:
$$\frac{\partial C}{\partial B} = \frac{\partial C}{\partial r} \frac{\partial r}{\partial B} \\ = \rho \frac{-1}{BT} $$
$\frac{\partial C}{\partial B}$ (not sure if it has a name) tells us how much of the risk-free bond to own to hedge, but I have less insight into it than $\Delta$.
Theta and Vega
$$\Theta = \frac{\partial C}{\partial T} \qquad \mathcal{V} = \frac{\partial C}{\partial \sigma}$$
Again, to have $\sigma$ as a parameter in $C$, some sort of stock price dynamics has to be understood. Both $T$ and $\sigma$ are reasoned about as uncertainty which shows that they are usually positive.
I don't have a very good model independent handle on either of these, but I'm sure it's possible to say something without going full Black-Scholes.
In particular it would be nice to get
$$\Theta = \frac{\sigma}{2T} \mathcal{V}$$
for when $r= 0$. This intuitively comes from the fact that volatility scales with square root of time, and so the option only depends on the volatility adjusted time $\sigma^2 T$.
## Answer by LocalVolatility (score 17, accepted)
https://quant.stackexchange.com/a/30183
Find the topic of model-independent properties of option prices very interesting as well. Here are some results that I am aware of and the respective references in the literature. Some are already contained in your initial list as well.
Plain Vanilla Prices are Convex in the Strike
- Theorem 4 in Merton (1973).
Delta is Bounded by the Slopes of the Payoff Function
- Even under geometric Brownian motion this only holds under no holding cost for the underlying asset.
- Bergman et al. (1996) show this to hold for European options under certain one- and two-factor diffusion models and allow for jump discontinuities in the payoff function (e.g. digitals). See also Epps (2007), Chapter 8.
- El Karoui et al. (1998) extend the result by Berman et al. (1998) to American options. Hobson (1998) gives an alternative proof.
Gamma is Positive for Convex Payoffs
- Bergman et al. (1996) - see previous point for the conditions.
Homogeneity in Spot and Strike
- Theorem 9 in Merton (1973) and Bates (2005). This only holds when the underlying exhibits constant returns to scale. Exceptions are e.g. local volatility models.
Vega is Positive for Convex Payoffs
- Theorem 8 in Merton (1973) shows a slightly more general result, namely that the value of a convex payoff is non-decreasing in the riskiness of the underlying asset. In the geometric Brownian motion setting, riskiness corresponds to the diffusion term and thus vega is positive.
References
Bergman, Yaacov Z., Bruce D. Grundy and Zvi Wiener (1996) "General Properties of Option Prices", Journal of Finance, Vol. 51, No. 5, pp, 1573-1610
El Karoui, Nicole, Monique Jeanblanc-Picque and Steven E. Shreve (1998) “Robustness of the Black and Scholes Formula”, Mathematical Finance, Vol. 8, No. 2, pp. 93-126
Epps, Thomas W. (2007) "Pricing Derivative Securities", World Scientific, Chapter 8.2.1
Hobson, David G. (1998) “Volatility Misspecification, Option Pricing and Superreplication via Coupling”, Annals of Applied Probability, Vol. 8, No. 1, pp. 193-205
Merton, Robert C. (1973) "Theory of Rational Option Pricing", Bell Journal of Economics and Management Science, Vol. 4, No. 1, pp. 141-183Shown 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.