Deriving Risk-Neutral Prices for Calls and Digital Calls
Summary
The document explains a risk-neutral pricing derivation for an asset with constant additive drift and volatility, under a constant interest rate. It begins with the principle that the asset price discounted by the bank account must be a martingale under the risk-neutral measure. A change of Brownian motion then sets the asset’s risk-neutral drift to the short rate times its price.
To simplify pricing, the response considers a maturity-matched forward. Its value has a stochastic integral whose distribution is normal, with variance determined by integrating the squared time-varying volatility coefficient. The terminal forward equals the asset price at maturity, allowing a payoff to be valued by its risk-neutral expected payoff and discounted back. The discussion sketches the method but does not work through explicit call or digital-call formulas. Its equations also assume the stated additive-noise model, rather than the more familiar proportional-volatility stock model.
Key ideas
- Under the risk-neutral measure, the asset price discounted by the bank account is a martingale.
- The risk-neutral asset drift is the interest rate multiplied by the asset price.
- A maturity-matched forward has a normally distributed terminal value in the stated additive-noise model.
- Option payoffs are priced as discounted risk-neutral expectations, subject to the model assumptions.
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Full text
# Mark Joshi, The concepts and practice of mathematical finance chapter 6 exercise 4
# Mark Joshi, The concepts and practice of mathematical finance chapter 6 exercise 4
> Let an asset follow a Brownian motion $$dS = \mu dt + \sigma dW$$ with $\mu$ and $\sigma$ constant. The constant interest rate is $r$. What process does $S$ follow in the risk-neutral measure? Develop a formula for the price of a call option and for the price of a digital call option.
In chapter 6, Mark Joshi states that $\mu = r$ if and only if the stock grows at a risk-neutral rate. Then in the solution by Mark Joshi, he states that since the $S_t$ grows at the same rate as a riskless bond so its drift must be $rS_t$.
I do not see how the drift must be $rS_t$.
Then the solution goes on with $F_t = e^{r(T-t)}S_t$ then
$$dF_t = e^{r(T-t)}\sigma dW_t$$
and then states that
$$F_T\sim F_0 + \overline{\sigma}\sqrt{T}N(0,1)$$
I do not understand where this comes from. I am having a hard time following his solution. Any suggestions are greatly appreciated. I can provide the full solution if needed.
## Answer by Freelunch (score 6, accepted)
https://quant.stackexchange.com/a/37804
Under the risk-neutral measure the discounted (under some numéraire) price process is a martingale. If we have a bank account with dynamics $dB_t = r B_t dt$ then the discounted asset $X_t = \frac{S_t}{B_t}$ will have the dynamics
\begin{equation} dX_t = \frac{dS_t}{B_t}- \frac{S_t dB_t}{B_t^2} = (\mu - r S_t) \frac{1}{B_t} dt + \frac{\sigma}{B_t} dW_t \end{equation}
Now we make an ansatz for the risk-neutral measure $\mathbb{Q}$ defined by $dW_t = dW^\mathbb{Q}_t + \frac{r S_t - \mu}{\sigma}dt$ and see that this indeed transform the discounted price into a martingale
\begin{equation} dX_t = \frac{\sigma}{B_t} dW^\mathbb{Q} _t \end{equation}
The asset price will now have the dynamics
\begin{equation} dS_t = rS_t dt + \sigma dW^\mathbb{Q} _t \end{equation}
This equation makes it somewhat inconvenient to compute derivative prices so we instead use a forward contract on the asset with the same maturity as the derivatives we wish to price. The price of a forward with maturity date $T$ is $F_{t,T} = e^{r(T-t)} S_t$ hence
\begin{equation} d F_{t,T} = e^{r(T-t)}\sigma dW^\mathbb{Q} _t \end{equation}
Integrating from $t=0$ to $T$ gives \begin{equation} F_{T,T} = F_{0,T} + \sigma \int_0^T e^{r(T-t)}dW^\mathbb{Q} _t \end{equation}
hence $F_{T,T} \sim N( F_{0,T} , \sigma^2 \int_0^T e^{2r(T-t)}dt ) $.
Since $F_{T,T}=S_T$ we can compute the price of any derivative with payoff $g(S_T)$ using $E^\mathbb{Q}[g(F_{T,T})| \mathcal{F}_t]$. Since forward contracts are paid at maturity we must discount this back to todays value and we get the price at time $t$ with $e^{-r(T-t)} E^\mathbb{Q}[g(F_{T,T})| \mathcal{F}_t]$.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.