Reconciling Spot and Forward Volatility Across Maturities
Summary
The document addresses an apparent conflict between the Black–Scholes relationship linking spot and forward prices and models that assign different volatility processes to forwards with different maturities. With a constant interest rate and a deterministic, time-varying spot volatility, applying Itô’s lemma gives each forward the same instantaneous volatility as spot while that forward remains active. Its exposure ends at its maturity, so forwards with different maturities accumulate volatility over different time intervals.
A piecewise-constant volatility example illustrates the distinction: a shorter-maturity forward is exposed only to the earlier volatility segment, while a longer-maturity forward is exposed to both segments. Thus differing maturity-specific volatility descriptions can reflect differing exposure windows rather than a contradiction in the spot-forward relation. The answer also mentions modeling separate Brownian drivers with specified correlation as an extension. The reconciliation depends on assumptions such as constant rates and deterministic spot volatility; it does not establish that arbitrary separately calibrated forward models are consistent with one common spot process.
Key ideas
- Under a constant rate, a forward’s instantaneous volatility matches spot volatility when both follow the stated relationship.
- A forward stops having price diffusion at its maturity, so its exposure window depends on tenor.
- Time-varying spot volatility can produce different effective volatility histories for forwards of different maturities.
- Separate forward Brownian drivers require an explicit dependence assumption, such as a correlation structure.
- The explanation relies on restrictive assumptions and may not describe arbitrary calibrated forward models.
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Full text
# Connection between the $\sigma$ parameters of the spot price and the forward price
# Connection between the $\sigma$ parameters of the spot price and the forward price
It is well known, that under the Black-Scholes framework:
$$F\left(t,T\right)=\exp\left(r\left(T-t\right)\right)S\left(t\right),$$
where $S\left(t\right)$ is the spot price of an asset at time $t$, $F\left(t,T\right)$ is the forward price of the same asset at time $t$ with maturity $T$ and $r$ is the constant risk free rate. $S$ and $F$ both follow geometric Brownian motions with constant parameters.
As a consequence of the equation above, I would say that the $\sigma$ parameters are the same for $S$ and $F$ (, i.e. the SDE of $S$ and $F$ have the same $\sigma$ parameters).
However, most of time (in practice and in theory as well) the forward prices with different $T$ maturities are modelled separately with different SDEs. Other words, for each $T$ maturity there is a different SDE of the forward price:
$$dF\left(t,T\right)=\sigma_{F^{T}}F\left(t,T\right)dW_{F^{T}}\left(t\right)$$
under the risk neutral measure, where $\sigma_{F^{T}}$ are different constans for each $T$, and $W_{F^{T}}$ are different Wiener-processes for each $T$. As a result, the $\sigma$ parameter can't be the same for $S$ and $F$, since for all maturities the $\sigma_{F^{T}}$ should match with the $\sigma$ parameter of $S$, even though we assumed $\sigma_{F^{T}}$ parameters can differ.
In short, these two statments above are contradictional to me. How can it be resolved? What do I misunderstand?
## Answer by ir7 (score 1, accepted)
https://quant.stackexchange.com/a/77764
They are not contradictory, if we choose sigmas reasonably (time-dependent, as suggested in the comments).
If $$ F_t^T = e^{r(T-t)} S_t \; \; {\rm and} \; \; dS_t = rS_tdt + \sigma_t S_t dW_t, $$ with $r$ constant and $\sigma_t$ deterministic function of $t$, then, by Ito Lemma, we get: $$ d F_t^T =\sigma_t F_t^T dW_t.$$ If we focus on a forward maturity structure with only two points, $ t_0< T_1 <T_2$, we could choose $\sigma$ to be, for example, piecewise constant: $$ \sigma_t= \left\{ \begin{array}{ll} \sigma_1 & t_0\leq t \leq T_1\\ \sigma_2& T_1 <t\leq T_2 \end{array} \right. $$ As $F_t^{T_1}$ dies out (zero diffusion coefficient/volatility) once $t>T_1$, its dynamics uses only $\sigma_1$. Similarly, $F_t^{T_2}$ dies out once $t>T_2$ and uses both $\sigma_1$ and $\sigma_2$.
So, using your notations:
$$ d F_t^{T_1} =\sigma^{F^{T_1}}_t F_t^{T_1} dW_t,$$ $$ d F_t^{T_2} =\sigma^{F^{T_2}}_t F_t^{T_2} dW_t,$$ where $$ \sigma^{F^{T_1}}_t := \sigma_t = \sigma_1, $$ for all $t\in [t_0,T_1]$ (which is constant), and $$ \sigma^{F^{T_2}}_t:= \sigma_t = \left\{ \begin{array}{ll} \sigma_1 & t_0\leq t \leq T_1\\ \sigma_2& T_1 <t\leq T_2. \end{array} \right. $$ (which is not constant).
The model you propose also suggests taking control of the Brownian driver of the second forward, which can be done by introducing: $$ W^1_t := W_t \; \; {\rm and} \; \; W_t^2, \; \; {\rm with } \; \; dW^1_tdW^2_t=\rho dt$$ ($\rho$ constant).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.