Calendar Arbitrage and Monotonic Total Implied Variance

# arbitrage free volatility surface


# arbitrage free volatility surface












Why is calendar spread arbitrage equivalent to $\partial_t \omega(k,t) \geq 0, \forall k \in \Bbb{R}$ where $\omega(k,t) = \sigma^2(k,t) t$ and $\sigma(k,t)$ represents the Black-Scholes implied volatility smile at $t$.

What is the motivation for this definition? Thanks for your help in advance :)

## Answer by Quantuple (score 5)

https://quant.stackexchange.com/a/43044

You'll find here that in terms of European option prices, the absence of calendar arbitrage writes $$ \frac{\tilde{C}(k\, F(0,t_2),t_2)}{F(0,t_2)} \geq \frac{\tilde{C}(k \, F(0,t_1),t_1)}{F(0,t_1)}, \forall k \in \Bbb{R}, \forall \, 0 < t_1 < t_2 \tag{1} $$ where $\tilde{C}(K,t)$ denotes the undiscounted European call price for strike $K$ and time to maturity $t$ and $F(0,t)$ the underlying forward price for delivery at $t$ as seen of $0$.

Suppose you would like to translate this inequality in terms of implied volatility i.e. by working in a Black-Scholes world. In that setting it is well known that $$ \frac{\tilde{C}(k \, F(0,t),t)}{F(0,t)} =: \mathcal{C}(k,w) = N(d_+(k,w)) - k N(d_-(k,w)) $$ with $$ d_{\pm}(k,w) = -\frac{\ln(k)}{\sqrt{w}} \pm \frac{1}{2}\sqrt{w} $$ where we have let $w = w(k,t) = \sigma^2(k,t) t$.

Then inequality $(1)$ can be rewritten as $$ \mathcal{C}(k, w(k,t_2)) \geq \mathcal{C}(k, w(k,t_1)) \tag{2}, \, \forall k \in \Bbb{R}, \forall 0 < t_1 < t_2 $$ which is verified iff $\forall k \in \Bbb{R}$ $$ \frac{\partial \mathcal{C}}{\partial t}(k,w(k,t)) \geq 0, \,\, \forall t\in \Bbb{R}^+ $$ So that this translates to $$ \frac{\partial \mathcal{C}}{\partial w}(k, w(k,t)) \frac{\partial w}{\partial t}(k,t) \geq 0 $$ where the first term is positive (see link with BS vega) hence the conclusion.

## Answer by Ilnaz Asadzadeh (score 1)

https://quant.stackexchange.com/a/51524

The simple explanation is that in the absence of calendar spread arbitrage, we should observe monotonic option prices with respect to maturity. And option prices are monotonic with respect to increase in volatility.

Let $(X_t)_{t \geq 0}$ be a martingale, $L>0$ and $0\leq t_1, t_2$, then we have $$E[(X_{t_{2}} - L)^{+}] \geq E[(X_{t_{1}}-L)^{+}]$$

for any $i = 1,2$, let $c_{i}$ be options with strikes $k_i$ and expirations $t_i$. If we assume the two options have the same moneyness ($k1/F_{t_{1}} =k2/F_{t_{2}} = \alpha^{k} $, then the process defined by $x_t = s_t/F_t$ for all $t\geq 0$ is a martingale and

$$ c_2/k_2 = \alpha^{-k} E[(X_{t_{2}} - \alpha^{k})^{+}] \geq \alpha^{-k} E[(X_{t_{1}} - \alpha^{k})^{+}] = c_1/k_1$$

so keeping the moneyness constant, option prices are non-decreasing in time to expiration. So, for fixed $k$, the function $w(k,.)$ must be non-decreasing.

## Answer by Antoine Savine (score 0)

https://quant.stackexchange.com/a/43045

Assuming I understood your question correctly: in the asence of rates, dividends etc. Black & Scholes' formula for a call $C(K,T)$ is a function of $V(K,T) = \sigma(K,T)^2*T$ as you can easily check (I mean that sigma and T only affect BS through V). It follows that $ \frac{dC}{dT} = \frac{dC}{dV} * \frac{dV}{dT} $and $\frac{dC}{dV} > 0 $ (as you may also easily check) so $\frac{dC}{dT} > 0$ (as required for no arb, see for instance the beginning of this lectures ) is equivalent to $\frac{dV}{dT} > 0$.

## Answer by Ezy (score 0)

https://quant.stackexchange.com/a/43064

This condition is incorrect in presence of dividend and repo. The correct condition in general is that variance has to be monotonically increasing along the direction of the forward line.

This follows from this reasoning: if maturity is $T$ and strike is $K$ and spot at time $t$ is $S_t$ then assuming that you have a dividend d at a date $T_d$ then $$S_{T_d}^+ = S_{T_d}^- -d$$

From then you can write the relationship between calls payoffs maturing at $T_d^+$ and $T_d^-$ as

$$max(0,S_{T_d}^+ - K^+) = max(0, S_{T_d}^- - K^-)$$

Provided that

$$K_{T_d}^+ = K_{T_d}^- -d$$

Which is the definition of the forward line through a dividend

Now that relation between terminal payoffs is established it implies that

$$\sigma(K^+,T+) = \sigma(K^-,T^-)$$

Which is the continuity relation. You can derive for yourself the impact of repo by the same reasoning.