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Valuing a Finite-Maturity One-Touch American Call

Article Quant Q&A · Author: A.Oreo

Summary

The document explains two ways to value a one-touch claim that pays when an asset first reaches a barrier before expiry. Under geometric Brownian motion with risk-neutral drift, the payoff is the discounted indicator that the first hitting time occurs by maturity. The probabilistic route evaluates that hitting-time expectation directly; since payment depends only on the hitting time, it requires a single integral rather than the joint distribution with the terminal asset price.

The alternative route solves a Black–Scholes boundary-value problem with zero value at expiry below the barrier and unit value at the barrier. It decomposes the finite-maturity value into a perpetual pay-at-hit binary value minus an auxiliary knock-out claim, whose equation can be handled with the method of images. The source motivates these methods but omits the parameters d1 and d2 and does not derive the displayed closed form. Its PDE route cites a standard text, so implementation details and assumptions beyond the stated model are left to the reader.

Key ideas

  • The one-touch payoff is the discounted event that the underlying reaches the barrier by expiry.
  • The hitting-time expectation can be evaluated without the terminal asset price distribution.
  • A Black–Scholes boundary-value problem offers an alternative to direct probabilistic integration.
  • The finite-maturity claim can be decomposed using a perpetual pay-at-hit binary and a knock-out auxiliary value.
  • The method of images is suggested for solving the auxiliary problem.

Tags

Full text
# How to solve one-touch American call


# How to solve one-touch American call












I want to solve the one-touch American call at $t = 0$ with level $B,$ maturity $T$ under the following assumption: $$d S= rSd t + \sigma SdW,\quad S_0<B.$$ We have following formula: $$V(S_0,0) = \left(\dfrac{B}{S_0}\right)^{2r/\sigma^2}N(d_2)+\dfrac{S}{B}N(d_1),$$ where we ormit $d_1,d_2.$

Is there any easy way or reference to obtain above formula? I solve as this the following way, but it is very complicated:

$$S(t)=S_0\exp^{\sigma W(t)+(r-\dfrac{1}{2}\sigma^2)t}=S_0\exp^{\sigma \hat{w}(t)},$$ where $\hat{w}(t) = W(t) + \alpha t,\ \alpha = \dfrac{1}{\sigma}(r-\dfrac{1}{2}\sigma^2).$

Then first passage time is given by $$\tau_m = \min\{t\geq 0; W(t) = B\}=\min\{t\geq 0; \hat{w} = \hat{B}\}$$ and we have the value $$V(S_0,0) = E[e^{-r\tau_m}\textrm{II}_{\{\tau_m\leq T\}}].$$ Here, $\textrm{II}$ is the indicator function. Then change the measure to make $\hat{W}(t)$ be a Brownian motion: $$\hat{E}[\dfrac{1}{\hat{Z(T)}}e^{-r\tau_m}\textrm{II}_{\{\tau_m\leq T\}}] = E[e^{-r\tau_m}\textrm{II}_{\{\tau_m\leq T\}}]$$ Here, $Z(T) = \exp(-\alpha W(t)-\dfrac{1}{2}\alpha^2)$ is the transition function.

And we know the joint CDF of first passage time $\tau_m$ and $\hat{W}(t)$ under $\hat{P}$ ,finally we solve this double integral.

## Answer by LocalVolatility (score 2, accepted)

https://quant.stackexchange.com/a/32918

As is often the case, there are at least two solution strategies here.

- (Probabilistic) You explicitly solve for the expected discount factor at the first passage time $\nu$ of $S$ to the level $B$ under the risk-neutral probability measure $\mathbb{P}^*$, i.e. \begin{equation} V_0 = \mathbb{E}_{\mathbb{P}^*} \left[ e^{-r \nu} \mathrm{1} \left\{ \nu \leq T \right\} \right], \end{equation} where $\nu$ is the first hitting time of $S$ to $B$.

- (Differential Equation) The option value $\tilde{V}(S, \tau)$ (as a function of the time-to-maturity $\tau$) satisfies the initial boundary value problem \begin{eqnarray} \mathcal{L} \left\{ \tilde{V} \right\} & = & 0 \qquad \text{for } (S, \tau) : S < B, \tau \in (0, \infty),\\ \tilde{V}(S, 0) & = & 0,\\ \tilde{V}(B, \tau) & = & 1, \qquad \text{for } \tau \in [0, \infty), \end{eqnarray} where $\mathcal{L}$ is the Black-Scholes forward operator.

You attempted the first approach. Note however, that you don't need the joint CDF of the first passage time and the terminal value of the Brownian motion as the payoff doesn't depend on the latter. So you only have a single integral to solve. See this blog post for all details.

Here, I will outline the second solution strategy. Let $U(S)$ be the valuation function of a perpetual pay-at-hit binary option. You can find the derivation of its valuation function in the answer to this other question. We now notice that the solution to $\tilde{V}(S, \tau)$ can be decomposed as

\begin{equation} \tilde{V}(S, \tau) = U(S) - \tilde{V}^1(S, \tau), \end{equation}

where $\tilde{V}^1(S, \tau)$ satisfies the initial boundary value problem

\begin{eqnarray} \mathcal{L} \left\{ \tilde{V}^1 \right\} \left( S, \tau^* \right) & = & 0 \qquad \text{for } \left( S, \tau^* \right) : S < B, \tau^* \in (0, \tau),\\ \tilde{V}^1(S, 0) & = & U(S),\\ \tilde{V}^1 \left( B, \tau^* \right) & = & 0 \qquad \text{for } \tau^* \in [0, \tau]. \end{eqnarray}

I.e. the value of the pay-at-hit binary option with a finite maturity is equal to a long position in the otherwise identical perpetual option plus a short position in a knock-out barrier option on the latter. The advantage of this approach is that you can now apply the method of images to solve the auxiliary problem $\tilde{V}^1(S, \tau)$. See Wilmott et al. (1995) for details.

References

Wilmott, Paul, Sam Howison, and Jeff Dewynne (1995) The Mathematics of Financial Derivatives: Cambridge University Press.

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.