ABSTRACT

Following the economic rationale of the British options, we present a new class of binary options where the holder enjoys the early exercise feature of the American binary options with his payoff is the “best prediction” of the European binary payoff under the hypothesis that the true drift equals a contract drift. Based on the observed price movements, the option holder finds that the true drift of the stock price is unfavourable then he can substitute it with the contract drift. The key to the British binary option is the protection feature and to minimize the losses. A closed form expression for the arbitrage-free price is derived in terms of the rational exercise boundary and the rational exercise boundary itself can be characterized as the unique solution to a nonlinear integral equation. We also analyze the financial meaning of the British binary options using the results above.

Keywords:

British Binary Option, American Binary Option, Arbitrage-Free Price, Rational Exercise Boundary, Optimal Stopping, Geometric Brownian Motion, Parabolic Free Boundary Problem

1. Introduction

The purpose of the present paper is to introduce and examine the British payoff mechanism (see [1] and [2]) in the context of binary options. The main idea of the “British” feature provides the option holder a protection mechanism against unfavourable stock price movements. The contract buyer is able to substitute the true drift with a contract drift to make his payoff the best prediction of the European binary payoff.

Following the economic rationale of [1] and [2], we introduce a new binary option that endogenously provides its holder with a protection mechanism against unfavourable stock price movements. This protection feature is intrinsically built into the option contract and we refer to such contracts as “British” for the reasons outlined in [1] and [2]. The British binary option not only provides a unique protection against unfavourable stock price movements (see more details in Section 5) but also enables the option holder to obtain high returns when the stock price movements are favourable in both liquid and illiquid markets. It is useful to recall the notion “compound option” by Geske where an analytical solution for compound options was derived (see [3] and references therein). We refer to a more recent paper [4] for an informative review. This notion is also used in [5] [6] [7] [8] and [9] for the value of British Asian, British Russian and British lookback options. The arbitrage-free price of the option is a solution to an optimal stopping problem with the gain function as the payoff of the option (see [10]). We use a local time-space calculus on curves (see [11]) to derive a closed form expression for the arbitrage-free price in terms of the optimal stopping boundary and show that the free boundary itself is a unique solution to a nonlinear integral equation.

The paper is organized as follows. In Section 2 we present a basic motivation for the British cash-or-nothing put option. In Section 3 we first formally define the British cash-or-nothing put option and present some of its basic properties. We continue in Section 4 to derive a closed form expression for the arbitrage-free price in terms of the rational exercise boundary and show that the rational exercise boundary can be characterized as the unique solution to a nonlinear integral equation. In Section 5 we provide a financial analysis using the results above (making comparisons with American binary options). In the final section, we present other different types of binary options: 1) calls or puts; 2) cash-or-nothing or asset-or-nothing.

2. Basic Motivation for the British Binary Option

The basic economic motivation for the British binary option is parallel to that of British put and call options (see [1] and [2]). In this section, we briefly review the key elements of the motivation on the cash-or-nothing put option.

1) Consider the stock price X and a riskless bond B evolving respectively as:

$\text{d}{X}_t=\mu X_t\text{d}t+\sigma X_t\text{d}{W}_t$ (1)

$\text{d}{B}_t=r{B}_t\text{d}t$ (2)

with $X_0=x$ and $B_0=1$ where $\mu \in \text{R}$ is the drift, $\sigma >0$ is the volatility coefficient, $W={\left(W_t\right)}_{t\ge 0}$ denotes the standard Brownian motion on a probability space $\left(\Omega \mathrm{,}\mathcal{F}\mathrm{,}\text{P}\right)$ and $r>0$ is the interest rate. The European or American put option is well defined in the literature (see [12]). Based on self-financing portfolios it implies that the arbitrage-free price of the options is given by (see [13]):

$V={\text{E}}^{\text{Q}}\left[{\text{e}}^{-rT}I\left(X_T<K\right)\right]$ (European cash-or-nothing put option) (3)

$V=\underset{0\le \tau \le T}{\sup }{\text{E}}^{\text{Q}}\left[{\text{e}}^{-r\tau }I\left(X_{\tau }<K\right)\right]$ (American cash-or-nothing put option) (4)

where the expectation ${\text{E}}^{\text{Q}}$ is taken with respect to the unique equivalent martingale measure Q (see [10]) and the supremum is taken over all stopping times $\tau$ of X with values in $\left[\mathrm{0,}T\right]$.

2) Recall that the arbitrage-free price for a European cash-or-nothing put option is given by

$V={\text{E}}^{\text{Q}}\left({\text{e}}^{-rT}I\left(X_T<K\right)\right)$ (5)

where the expectation ${\text{E}}^{\text{Q}}$ is taken with respect to the unique equivalent martingale measure Q. From the stochastic differential Equation (1), we get the unique strong solution

$X_t\left(\mu \right)=x\exp \left(\sigma W_t+\left(\mu -{\sigma }^2/2\right)t\right)$ (6)

under P for $t\in \left[\mathrm{0,}T\right]$. We see that $\mu \to X_t\left(\mu \right)$ is strictly increasing so that $\mu \to {\text{e}}^{-rT}I\left(X_T<K\right)$ is decreasing on $\text{R}$. Furthermore, it is well known that $\text{Law}\left(X\left(\mu \right)\mathrm{<mo>\; |\; </mo>}\text{Q}\right)$ is the same as $\text{Law}\left(X\left(r\right)\mathrm{<mo>\; |\; </mo>}\text{P}\right)$. Therefore, if $\mu =r$ we get

$V=\text{E}\left({\text{e}}^{-rT}\text{I}\left(X_T\left(\mu \right)<K\right)\right)\mathrm{.}$ (7)

The left-hand side stands for the value of investment and the right-hand side represents the expected value of the payoff. On the other hand, the option holder is glad to see $\mu <r$. It follows

$V<\text{E}\left({\text{e}}^{-rT}\text{I}\left(X_T\left(\mu \right)<K\right)\right)\mathrm{.}$ (8)

Then we say the return is “favourable”. On the contrary the return is “unfavourable” if $\mu >r$ and

$V>\text{E}\left({\text{e}}^{-rT}\text{I}\left(X_T\left(\mu \right)<K\right)\right)\mathrm{.}$ (9)

3) In the real financial market, the actual drift $\mu$ is unknown at time $t=0$ and is not easy to estimate at later times $t\in \left(\mathrm{0,}T\right]$ in finite horizon. One will buy the option if he believes that $\mu <r$ and surely he is pleased to see what reaffirm his belief. The British cash-or-nothing put option aims to address the opposite situation. If the put holder observes stock price movements not satisfying his belief i.e. the actual drift in his observation tends to be larger than the interest rate r, the option holder therefore enables to substitute this unfavourable drift with a contract drift which represents the buyer’s tolerance for the actual drift (see [1]). Then there is an endogenous protection from any true drift larger than the interest rate and the contract drift represents the buyer’s expected level of tolerance. Moreover, the real drift $\mu$ is difficult and nearly impossible for the option buyer and seller to agree on. But the contract drift ${\mu }_c$ is not impossible for both parties to agree on because it is just a parameter given exogenously. The practical implications of this protection feature are most remarkable since even when the stock price is above the strike price the option holder can exercise with a substantial reimbursement of the original option price compared with the ability to sell in a liquid option market completely endogenously (more details in Section 5).

4) In a real financial market, true buyer’s ability to sell will be determined by the market and this may also involve additional transaction costs and/or taxes. By “true buyer” we mean a buyer who has no ability or desire to sell the option at T in the European case or at the optimal stopping time $\tau$ in the American case. Furthermore, in most practical situations of over-the-counter trading it may be increasingly difficult to sell the option when out-of-money and makes the option expire worthless. Also in the real world the liquidity of the option market varies with the term of the contract, for example some extreme news event may lead to the option contract to become worthless once the news is released. On the other hand, the protection feature endogenously built into the British option protect the option holder regardless of whether the option market is liquid or not.

3. The British Cash-or-Nothing Put Option: Definition and Basic Properties

We start this section from a definition of the British cash-or-nothing put option and then give a brief analysis of its properties and rational exercise strategy.

Definition 1 The British cash-or-nothing put option is a financial contract between a seller/hedger and a buyer/holder entitling the latter to exercise at any (stopping) time $\tau$ prior to T whereupon his payoff is the “best prediction” of the European cash-or-nothing payoff $I\left(X_T<K\right)$ given all the information up to time $\tau$ under the hypothesis that the true drift of the stock price equals ${\mu }_c$.

We refer ${\mu }_c$ as “contract drift” and it is natural that ${\mu }_c$ satisfies

${\mu }_c>r.$ (10)

if ${\mu }_c\le r$ the put option holder will beat the interest rate r by exercising immediately. Furthermore, ${\mu }_c$ can be as large as $\infty$, which means the option holder’s infinite tolerance for the true drift. Meanwhile the British cash-or-nothing put option would become a European cash-or-nothing put option.

1) We define the payoff function $G^{{\mu }_c}$ as

$G^{{\mu }_c}\left(t\mathrm{,}{X}_t\right)={\text{E}}^{{\mu }_c}\left[\text{I}\left(X_T<K\right)\mathrm{<mo>\; |\; </mo>}{\mathcal{F}}_t\right]$ (11)

where the conditional expectation is taken with respect to a new probability measure ${\text{P}}^{{\mu }_c}$ under which the stock price X expressed as

$\text{d}{X}_t={\mu }_c{X}_t\text{d}t+\sigma X_t\text{d}{W}_t.$ (12)

We see from (1) and (12) that if we exercise the British option, the true (unknown) drift is substituted by the contract drift. Such a contract is referred as “British” since in terms of payoff the British option takes a position in between the European and American options. The British payoff mechanism is also applied in [1] [2] [5] [6] [7] [8] and [9].

It is followed that $G^{{\mu }_c}\left(t\mathrm{,}x\right)$ can be written as

$G^{{\mu }_c}\left(t\mathrm{,}x\right)=\text{E}\left[\text{I}\left(x{Z}_{T-t}^{{\mu }_c}<K\right)\right]$ (13)

and $Z_{T-t}^{{\mu }_c}$ is given by

$Z_{T-t}^{{\mu }_c}=\exp \left(\sigma W_{T-t}+\left({\mu }_c-{\sigma }^2/2\right)\left(T-t\right)\right)$ (14)

for $t\in \left[\mathrm{0,}T\right]$ and $x\in \left(\mathrm{0,}\infty \right)$. Then we find (13) equals to

$\begin{array}{c}{G}^{{\mu }_c}\left(t\mathrm{,}x\right)=\text{EI}\left(x{Z}_{T-t}^{{\mu }_c}<K\right)\\ =\text{P}\left(x\exp \left(\sigma W_{T-t}+\left({\mu }_c-{\sigma }^2/2\right)\left(T-t\right)\right)<K\right)\\ =\Phi \left(\frac{1}{\sigma \sqrt{T-t}}\left[\ln \frac{K}{x}-\left({\mu }_c-\frac{1}{2}{\sigma }^2\right)\left(T-t\right)\right]\right)\end{array}$ (15)

where $\Phi$ is the standard normal distribution function given by

$\Phi \left(x\right)=\frac{1}{\sqrt{2\pi }}{\displaystyle {\int }_{-\infty }^x}{\text{e}}^{-y^2/2}\text{d}y$ for $x\in \text{R}$. Note that the expression for $G^{{\mu }_c}\left(t\mathrm{,}x\right)$

coincides with the Black-Scholes formula for the arbitrage-free price of the European cash-or-nothing put option with the interest rate substituted with contract drift ${\mu }_c$. It shows that the payoff of the British option could be inferred from the price of the relevant European option that is useful for understanding the nature of the British payoff. Also, the stock price x can follow any process. In this paper we make the assumption that the stock price follows geometric Brownian motion and get the explicit expression of the payoff function $G^{{\mu }_c}\left(t\mathrm{,}x\right)$ but it is not limited to certain process.

2) The arbitrage-free price of the British cash-or-nothing put option can be expressed as

$V=\underset{0\le \tau \le T}{\sup }{\text{E}}^{\text{Q}}\left[{\text{e}}^{-r\tau }{\text{E}}^{{\mu }_c}\left[I\left(X_T<K\right)\mathrm{<mo>\; |\; </mo>}{\mathcal{F}}_{\tau }\right]\right]$ (16)

where the supremum is taken over all stopping times $\tau$ of X with values in $\left[\mathrm{0,}T\right]$. For the process X started at any point x in $\left(\mathrm{0,}\infty \right)$ at any time $t\in \left[\mathrm{0,}T\right]$, the expression (16) extends to

$V\left(t\mathrm{,}x\right)=\underset{0\le \tau \le T-t}{\sup }{\text{E}}_{t\mathrm{,}x}^{\text{Q}}\left[{\text{e}}^{-r\tau }{G}^{{\mu }_c}\left(t+\tau \mathrm{,}{X}_{t+\tau }\right)\right]$ (17)

where the supremum is taken over all stopping times $\tau$ of X with values in $\left[\mathrm{0,}T-t\right]$ and ${\text{E}}_{t\mathrm{,}x}^{\text{Q}}$ is taken with respect to the (unique) equivalent martingale measure Q under which $X_t=x$. Since $\text{Law}\left(X\left(\mu \right)\mathrm{<mo>\; |\; </mo>}\text{Q}\right)$ is the same as $\text{Law}\left(X\left(r\right)\mathrm{<mo>\; |\; </mo>}\text{P}\right)$, it follows that

$V\left(t\mathrm{,}x\right)=\underset{0\le \tau \le T-t}{\sup }{\text{E}}_{t\mathrm{,}x}\left[{\text{e}}^{-r\tau }{G}^{{\mu }_c}\left(t+\tau \mathrm{,}x{X}_{\tau }\right)\right]$ (18)

where the supremum is taken over all stopping times $\tau$ of X with values in $\left[\mathrm{0,}T\right]$ and the process $X=X\left(r\right)$ under P solves

$\text{d}{X}_t=r{X}_t\text{d}t+\sigma X_t\text{d}{W}_t$ (19)

with $X_0=1$.

3) To get the solution to the optimal stopping problem (18), apply Ito’s formula and get

${\text{e}}^{-rs}{G}^{{\mu }_c}\left(t+s\mathrm{,}{X}_{t+s}\right)=G^{{\mu }_c}\left(t\mathrm{,}x\right)+{\displaystyle {\int }_0^s}{\text{e}}^{-ru}{H}^{{\mu }_c}\left(t+u\mathrm{,}{X}_{t+u}\right)\text{d}u+M_s$ (20)

where the function $H^{{\mu }_c}\left(t\mathrm{,}x\right)$ is defined by

$H^{{\mu }_c}=G_t^{{\mu }_c}+rx{G}_x^{{\mu }_c}+\frac{{\sigma }^2}{2}{x}^2{G}_{xx}^{{\mu }_c}-r{G}^{{\mu }_c}$ (21)

and $M_s=\sigma {\displaystyle {\int }_0^s}{\text{e}}^{-ru}{X}_u{G}_x^{{\mu }_c}\left(t+u\mathrm{,}{X}_{t+u}\right)\text{d}{W}_u$ is defined as a continuous martingale for $s\in \left[\mathrm{0,}T-t\right]$ with $t\in \left[\mathrm{0,}T\right)$. From the optional sampling theorem we get

$\text{E}\left[{\text{e}}^{-r\tau }{G}^{{\mu }_c}\left(t+\tau \mathrm{,}{X}_{t+\tau }\right)\right]=G^{{\mu }_c}\left(t\mathrm{,}x\right)+\text{E}\left[{\displaystyle {\int }_0^{\tau }}{\text{e}}^{-ru}{H}^{{\mu }_c}\left(t+u\mathrm{,}x{X}_u\right)\text{d}u\right]$ (22)

for all stopping times $\tau$ of X with values in $\left[\mathrm{0,}T-t\right]$. Moreover, the payoff function obviously satisfies the Kolmogorov backward equation

$G_t^{{\mu }_c}+{\mu }_{c}x{G}_x^{{\mu }_c}+\frac{{\sigma }^2}{2}{x}^2{G}_{xx}^{{\mu }_c}=0$ (23)

thus we get

$H^{{\mu }_c}=\left(r-{\mu }_c\right)x{G}_x^{{\mu }_c}-r{G}^{{\mu }_c}\mathrm{.}$ (24)

It is easy to verify that $G_x^{{\mu }_c}<0$ and we see that if ${\mu }_c\le r$ then $H^{{\mu }_c}<0$ it is always optimal to exercise immediately from (22) since the option value is smaller than the payoff P-a.s. Then we calculate $G_x^{{\mu }_c}$ and substituting $G_x^{{\mu }_c}$ and $G^{{\mu }_c}$ then get

$\begin{array}{c}{H}^{{\mu }_c}\left(t\mathrm{,}x\right)=\left({\mu }_c-r\right)\frac{1}{\sigma \sqrt{T-t}}\phi \left(\frac{1}{\sigma \sqrt{T-t}}\left[\ln \frac{K}{x}-\left({\mu }_c-\frac{1}{2}{\sigma }^2\right)\left(T-t\right)\right]\right)\\ -r\Phi \left(\frac{1}{\sigma \sqrt{T-t}}\left[\ln \frac{K}{x}-\left({\mu }_c-\frac{1}{2}{\sigma }^2\right)\left(T-t\right)\right]\right)\end{array}$ (25)

where $\phi \left(y\right)=\frac{1}{\sqrt{2\pi }}{\text{e}}^{-y^2/2}$ for $y\in \text{R}$.

A direct examination of the function $H^{{\mu }_c}$ in (25) shows that there exists a continuous (smooth) function $h\mathrm{<mo>\; :\; </mo>}\left[\mathrm{0,}T\right]\to \text{R}$ such that

$H^{{\mu }_c}\left(t\mathrm{,}h\left(t\right)\right)=0$ (26)

for all $t\in \left[\mathrm{0,}T\right)$ with $H^{{\mu }_c}\left(t,x\right)>0$ for $x>h\left(t\right)$ and $H^{{\mu }_c}\left(t,x\right)<0$ for $x<h\left(t\right)$ when $t\in \left[\mathrm{0,}T\right)$ is given and fixed. The relationship (22) implies that no points $\left(t,x\right)$ in $\left[\mathrm{0,}T\right)\times \left(\mathrm{0,}\infty \right)$ with $x>h\left(t\right)$ is a stopping point. On the other hand, it is easy to verify that if $x<h\left(t\right)$ and $t<T$ is sufficiently close to T then it is optimal to stop immediately since the gain obtained from being below h cannot offset the cost of getting there due to the lack of time. This implies that the optimal stopping boundary b separating the continuation set from the stopping set satisfies $b\left(T\right)=h\left(T\right)$ and this value equals K as is easily seen from (25).

4) Standard Markovian arguments lead to the following free-boundary problem

$V_t+rx{V}_x+\frac{{\sigma }^2}{2}{x}^2{V}_{xx}-rV=0\text{for}x>b\left(t\right)\text{and}t\in \left[\mathrm{0,}T\right)$ (27)

$V\left(t\mathrm{,}x\right)=G^{{\mu }_c}\left(t\mathrm{,}x\right)\text{for}x=b\left(t\right)\text{and}t\in \left[\mathrm{0,}T\right)$ (28)

$V_x\left(t\mathrm{,}x\right)=G_x^{{\mu }_c}\left(t\mathrm{,}x\right)\text{for}x=b\left(t\right)\text{and}t\in \left[\mathrm{0,}T\right)$ (29)

$V\left(T\mathrm{,}x\right)=I\left(x<K\right)\text{for}x\ge b\left(T\right)=K$ (30)

$V\left(t\mathrm{,}\infty \right)=0\text{for}t\in \left[\mathrm{0,}T\right)\mathrm{.}$ (31)

We will show in the following sections that this free-boundary problem has a unique solution V and b which coincide with the value function (18) and the optimal stopping boundary respectively (cf. [14]). It follows that the continuation set can be expressed as $C=\left\{V>G^{{\mu }_c}\right\}=\left\{\left(t,x\right)\in \left[0,T\right)\times \left(0,\infty \right)|x>b\left(t\right)\right\}$ and the stopping set is given by $D=\left\{V=G^{{\mu }_c}\right\}=\left\{\left(t,x\right)\in \left[0,T\right)\times \left(0,\infty \right)|x\le b\left(t\right)\right\}\cup \left\{\left(T,x\right)|x>b\left(T\right)\right\}$ and the optimal stopping time in (18) is given by

${\tau }_b=\inf \left\{t\in \left[0,T\right]|X_t\le b\left(t\right)\right\}.$ (32)

5) The relationship (10) leads to different position and shape of the optimal stopping boundaries b (see Figure 1). We divide it into three different regimes with ${\mu }_c$ is large, ${\mu }_c$ close to r and an intermediate case. We see when ${\mu }_c>r$ is relatively large, the boundary b is an increasing function of t and when ${\mu }_c$ close to r, the boundary b is a U-skewed shape. If we make ${\mu }_c$ move from $\infty$ to r, the optimal stopping boundary b will go up from 0 function gradually passing through the three shapes above with $b\left(T\right)=K$.

4. The Arbitrage-Free Price and the Rational Exercise Boundary

In this section we will derive a closed form expression for the arbitrage-free price V in terms of the rational exercise boundary b (the early-exercise premium representation).

We will make use of the following functions in Theorem 2 below:

$F\left(t,x\right)=G^{{\mu }_c}\left(t,x\right)-{\text{e}}^{-r\left(T-t\right)}{G}^r\left(t,x\right)$ (33)

$J\left(t\mathrm{,}x\mathrm{,}v\mathrm{,}z\right)=-{\text{e}}^{-r\left(v-t\right)}{\displaystyle {\int }_0^z}{H}^{{\mu }_c}\left(v\mathrm{,}y\right)f\left(v-t\mathrm{,}x\mathrm{,}y\right)\text{d}y$ (34)

for $t\in \left[0,T\right),x>0,v\in \left(t,T\right)$ and $y>0$, where functions $G^r$ and $G^{{\mu }_c}$ are given in (15) above, the function $H^{{\mu }_c}$ is given in (21) and (25) above, and $y\mapsto f\left(v-t\mathrm{,}x\mathrm{,}y\right)$ is the probability density function of $x{Z}_{v-t}^r$ from (14) above with ${\mu }_c$ replaced by r and $T-t$ replaced by $v-t$

$f\left(v-t,x,y\right)=\frac{1}{\sigma y\sqrt{v-t}}\phi \left(\frac{1}{\sigma \sqrt{v-t}}\left[\log \left(y/x\right)-\left(r-{\sigma }^2/2\right)\left(v-t\right)\right]\right)$ (35)

for $y>0$ where $\phi$ is defined as in (25) above. Note that since $H^{{\mu }_c}\left(v,y\right)<0$ for all $y\in \left(\mathrm{0,}b\left(v\right)\right)$ as b lies below h, then it is easy to verify that $J\left(t,x,v,b\left(v\right)\right)>0$ for all $t\in \left[0,T\right),x>0,v\in \left(t,T\right)$. It is easy to see that

$J\left(t,x,T-,z\right)=r{\text{e}}^{-r\left(T-t\right)}\Phi \left(\frac{1}{\sigma \sqrt{T-t}}\left[\log \frac{z\wedge K}{x}-\left(r-\frac{{\sigma }^2}{2}\right)\left(T-t\right)\right]\right)$ (36)

which is positive almost surely. It means that no matter what value z is, the buyer should exercise the option at the very closing time $t=T$. It follows what we get in (26) that $b\left(T\right)$ tends to be K.

Theorem 2 The arbitrage-free price of the British cash-or-nothing put option follows the early-exercise premium representation

$V\left(t\mathrm{,}x\right)={\text{e}}^{-r\left(T-t\right)}{G}^r\left(t\mathrm{,}x\right)+{\displaystyle {\int }_t^T}J\left(t\mathrm{,}x\mathrm{,}v\mathrm{,}b\left(v\right)\right)\text{d}v$ (37)

for all $\left(t\mathrm{,}x\right)\in \left[\mathrm{0,}T\right]\times \left(\mathrm{0,}\infty \right)$, where the first term is the arbitrage-free price of the European put option and the second term is the early-exercise premium.

The rational exercise boundary of the British put option can be characterised as the unique continuous solution $b\mathrm{<mo>\; :\; </mo>}\left[0,T\right]\to {\text{R}}_{+}$ to the nonlinear integral equation

$F\left(t\mathrm{,}b\left(t\right)\right)={\displaystyle {\int }_t^T}J\left(t\mathrm{,}b\left(t\right)\mathrm{,}v\mathrm{,}b\left(v\right)\right)\text{d}v$ (38)

satisfying $0\le b\left(t\right)\le h\left(t\right)$ for all $t\in \left[\mathrm{0,}T\right]$ where h is defined by (26) above.

Proof. We will first derive (37) and (38). Then we will show the uniqueness of (38).

1) Let $V\mathrm{<mo>\; :\; </mo>}\left[\mathrm{0,}T\right]\times \left(\mathrm{0,}\infty \right)\to \text{R}$ and $b\mathrm{<mo>\; :\; </mo>}\left[\mathrm{0,}T\right]\to {\text{R}}_{+}$ denote the unique solution to the free-boundary problem (27)-(31), set $C_b=\left\{\left(t\mathrm{,}x\right)\in \left[\mathrm{0,}T\right)\times \left(\mathrm{0,}\infty \right)\mathrm{<mo>\; |\; </mo>}x>b\left(t\right)\right\}$ and $D_b=\left\{\left(t\mathrm{,}x\right)\in \left[\mathrm{0,}T\right)\times \left(\mathrm{0,}\infty \right)\mathrm{<mo>\; |\; </mo>}x<b\left(t\right)\right\}$, and let ${\mathbb{L}}_{X}V\left(t\mathrm{,}x\right)=rx{V}_x\left(t\mathrm{,}x\right)+\frac{{\sigma }^2}{2}{x}^2{V}_{xx}\left(t\mathrm{,}x\right)$ for $\left(t\mathrm{,}x\right)\in C_b\cup D_b$.

We summarize that V and b are continuous functions satisfying the following conditions:

· V is $C^{\mathrm{1,2}}$ on $C_b\cup D_b$;

· b is of bounded variation;

· $\text{P}\left(X_t=c\right)=0$ for all $t\in \left[\mathrm{0,}T\right]$ and $c>0$;

· $V_t+{\mathbb{L}}_{X}V-rV$ is locally bounded on $C_b\cup D_b$;

· $t\to V_x\left(t\mathrm{,}b\left(t\right)\pm \right)=G_x^{{\mu }_c}\left(t\mathrm{,}b\left(t\right)\right)$ is continuous on $\left[\mathrm{0,}T\right]$.

From these conditions we see that the local time-space formula is applicable to $\left(s\mathrm{,}y\right)\to {\text{e}}^{-rs}V\left(t+s\mathrm{,}xy\right)$ with $t\in \left[\mathrm{0,}T\right)$ and $x>0$ given and fixed (see [11]). This leads to

$\begin{array}{l}{\text{e}}^{-rs}V\left(t+s\mathrm{,}x{X}_s\right)\\ =V\left(t\mathrm{,}x\right)+{\displaystyle {\int }_0^s}{\text{e}}^{-rv}\left(V_t+{\mathbb{L}}_{X}V-rV\right)\left(t+v\mathrm{,}x{X}_v\right)I\left(x{X}_v\ne b\left(t+v\right)\right)\text{d}v+M_s^b\\ +\frac{1}{2}{\displaystyle {\int }_0^s}{\text{e}}^{-rv}\left(V_x\left(t+v\mathrm{,}x{X}_{v^{+}}\right)-V_x\left(t+v\mathrm{,}x{X}_{v^{-}}\right)\right)I\left(x{X}_v=b\left(t+v\right)\right)\text{d}{\mathcal{l}}_v^b\left(X^x\right)\end{array}$ (39)

where $M_s^b=\sigma {\displaystyle {\int }_0^s}{\text{e}}^{-rv}x{X}_v{V}_x\left(t+v\mathrm{,}x{X}_v\right)\text{d}{B}_v$ is a continuous local martingale for $s\in \left[\mathrm{0,}T-t\right]$ and ${\mathcal{l}}^b\left(X^x\right)={\left({\mathcal{l}}_v^b\left(X^x\right)\right)}_{0\le v\le s}$ is the local time of $X^x={\left(x{X}_v\right)}_{0\le v\le s}$ on the curve b for $s\in \left[\mathrm{0,}T-t\right]$. Furthermore, since V satisfies (27) on $C_b$ and equals $G^{{\mu }_c}$ on $D_b$, and the smooth-fit condition holds at b, we see that (39) implies

$\begin{array}{l}{\text{e}}^{-rs}V\left(t+s\mathrm{,}x{X}_s\right)\\ =V\left(t\mathrm{,}x\right)+{\displaystyle {\int }_0^s}{\text{e}}^{-rv}\left(V_t+{\mathbb{L}}_{X}V-rV\right)\left(t+v\mathrm{,}x{X}_v\right)I\left(x{X}_v<b\left(t+v\right)\right)\text{d}v+M_s^b\end{array}$ (40)

for $s\in \left[\mathrm{0,}T-t\right]$ and $\left(t\mathrm{,}x\right)\in \left[\mathrm{0,}T\right)\times \left(\mathrm{0,}\infty \right)$.

2) Since $M_s^b$ is a continuous local martingale, there exists a sequence of stopping times ${\tau }_n$ such that ${\tau }_n\uparrow \infty$ as $n\uparrow \infty$ and the stopped process $M_{s\wedge {\tau }_n}$ is a martingale. Replacing s by $s\wedge {\tau }_n$ in (40), we get

$\begin{array}{l}{\text{e}}^{-r\left(s\wedge {\tau }_n\right)}V\left(t+s\wedge {\tau }_n\mathrm{,}x{X}_{s\wedge {\tau }_n}\right)\\ =V\left(t\mathrm{,}x\right)+{\displaystyle {\int }_0^{s\wedge {\tau }_n}}{\text{e}}^{-rv}\left(V_t+{\mathbb{L}}_{X}V-rV\right)\left(t+v\mathrm{,}x{X}_v\right)I\left(x{X}_v<b\left(t+v\right)\right)\text{d}v+M_{s\wedge {\tau }_n}^b\mathrm{.}\end{array}$ (41)

The martingale term vanishes when taking E on both sides. It follows

$\begin{array}{l}\text{E}\left[{\text{e}}^{-r\left(s\wedge {\tau }_n\right)}V\left(t+s\wedge {\tau }_n\mathrm{,}x{X}_{s\wedge {\tau }_n}\right)\right]\\ =V\left(t\mathrm{,}x\right)+\text{E}\left[{\displaystyle {\int }_0^{s\wedge {\tau }_n}}{\text{e}}^{-rv}{H}^{{\mu }_c}\left(t+v\mathrm{,}x{X}_v\right)I\left(x{X}_v<b\left(t+v\right)\right)\text{d}v\right]\end{array}$ (42)

where $H^{{\mu }_c}\left(t\mathrm{,}x\right)$ is well defined in (25). When taking ${\lim }_{n\uparrow \infty }$, it reduces to

$\begin{array}{l}\text{E}\left[{\text{e}}^{-rs}V\left(t+s\mathrm{,}x{X}_s\right)\right]\\ =V\left(t\mathrm{,}x\right)+\text{E}\left[{\displaystyle {\int }_0^s}{\text{e}}^{-rv}{H}^{{\mu }_c}\left(t+v\mathrm{,}x{X}_v\right)I\left(x{X}_v<b\left(t+v\right)\right)\text{d}v\right]\end{array}$ (43)

3) Replacing s by $T-t$ in (43), using that $V\left(T,x\right)=G^{{\mu }_c}\left(T,x\right)=I\left(x\le K\right)$ for $x>0$ and from the optimal sampling theorem, we get

$\begin{array}{l}{\text{e}}^{-r\left(T-t\right)}\text{E}\left(I\left(x{X}_{T-t}<K\right)\right)\\ =V\left(t\mathrm{,}x\right)+{\displaystyle {\int }_0^{T-t}}{\text{e}}^{-rv}\text{E}\left[H^{{\mu }_c}\left(t+v\mathrm{,}x{X}_v\right)I\left(x{X}_v<b\left(t+v\right)\right)\right]\text{d}v\\ =V\left(t\mathrm{,}x\right)-{\displaystyle {\int }_t^T}J\left(t\mathrm{,}x\mathrm{,}v\mathrm{,}b\left(v\right)\right)\text{d}v\mathrm{.}\end{array}$ (44)

Note that the left-hand side of (44) is ${\text{e}}^{-r\left(T-t\right)}{G}^r\left(t\mathrm{,}x\right)$ and we will get the expression (37). It follows by (38) since $V\left(t\mathrm{,}b\left(t\right)\right)=G^{{\mu }_c}\left(t\mathrm{,}b\left(t\right)\right)$ for all $t\in \left[\mathrm{0,}T\right]$.

4) We will show that the rational exercise boundary is the unique solution to (38) in the class of continuous functions $t\to b\left(t\right)$ on $\left[\mathrm{0,}T\right]$ satisfying $0\le b\left(t\right)\le h\left(t\right)$ for all $t\in \left[\mathrm{0,}T\right]$. To prove this, we assume a continuous function $c\mathrm{<mo>\; :\; </mo>}\left[\mathrm{0,}T\right]\to \text{R}$ which solves (38) and satisfies $0\le c\left(t\right)\le h\left(t\right)$ for all $t\in \left[\mathrm{0,}T\right]$. From (44), the function $U^c\mathrm{<mo>\; :\; </mo>}\left[\mathrm{0,}T\right]\times \left(\mathrm{0,}\infty \right)\to \text{R}$ is defined by

$\begin{array}{c}{U}^c\left(t\mathrm{,}x\right)={\text{e}}^{-r\left(T-t\right)}\text{E}\left[G^{{\mu }_c}\left(T\mathrm{,}x{X}_{t-t}\right)\right]\\ -{\displaystyle {\int }_0^{T-t}}{\text{e}}^{-rv}\text{E}\left[H^{{\mu }_c}\left(t+v\mathrm{,}x{X}_v\right)I\left(x{X}_v<c\left(t+v\right)\right)\right]\text{d}v\end{array}$ (45)

for $\left(t\mathrm{,}x\right)\in \left[\mathrm{0,}T\right]\times \left(\mathrm{0,}\infty \right)$. It is easy to know that if c solves (38) then $U^c\left(t,c\left(t\right)\right)=G^{{\mu }_c}\left(t,c\left(t\right)\right)$ for all $t\in \left[\mathrm{0,}T\right]$.

a) First we will show that $U^c\left(t,x\right)=G^{{\mu }_c}\left(t,x\right)$ for all $\left(t\mathrm{,}x\right)\in \left[\mathrm{0,}T\right]\times \left(\mathrm{0,}\infty \right)$ such that $x\le c\left(t\right)$. Take such $\left(t\mathrm{,}x\right)$ and the Markov property of X implies

${\text{e}}^{-rs}{U}^c\left(t+s\mathrm{,}x{X}_s\right)-{\displaystyle {\int }_0^s}{\text{e}}^{-rv}{H}^{{\mu }_c}\left(t+v\mathrm{,}x{X}_v\right)I\left(x{X}_v<c\left(t+v\right)\right)\text{d}v$ (46)

is a continuous martingale under P for $s\in \left[\mathrm{0,}T-t\right]$. Consider the stopping time

${\sigma }_c=\inf \left\{s\in \left[\mathrm{0,}T-t\right]\mathrm{<mo>\; |\; </mo>}x{X}_x\ge c\left(t+s\right)\right\}$ (47)

under P. We see that $U^c\left(t+{\sigma }_c\mathrm{,}x{X}_{{\sigma }_c}\right)=G^{{\mu }_c}\left(t+{\sigma }_c\mathrm{,}x{X}_{{\sigma }_c}\right)$ since $U^c\left(t\mathrm{,}c\left(t\right)\right)=G^{{\mu }_c}\left(t\mathrm{,}c\left(t\right)\right)$ for all $t\in \left[\mathrm{0,}T\right]$ and $U^c\left(T\mathrm{,}x\right)=G^{{\mu }_c}\left(T\mathrm{,}x\right)$ for all $x>0$. Now we replace s by ${\sigma }_c$ in (46) and take E on both sides, from the optional sampling theorem

$\begin{array}{c}{U}^c\left(t\mathrm{,}x\right)=\text{E}\left[{\text{e}}^{-r{\sigma }_c}{U}^c\left(t+{\sigma }_c\mathrm{,}x{X}_{{\sigma }_c}\right)\right]\\ -\text{E}\left[{\displaystyle {\int }_0^{{\sigma }_c}}{\text{e}}^{-rv}{H}^{{\mu }_c}\left(t+v\mathrm{,}x{X}_v\right)I\left(x{X}_v<c\left(t+v\right)\right)\text{d}v\right]\\ =\text{E}\left[{\text{e}}^{-r{\sigma }_c}{G}^{{\mu }_c}\left(t+{\sigma }_c\mathrm{,}x{X}_{{\sigma }_c}\right)\right]-\text{E}\left[{\displaystyle {\int }_0^{{\sigma }_c}}{\text{e}}^{-rv}{H}^{{\mu }_c}\left(t+v\mathrm{,}x{X}_v\right)\text{d}v\right]\\ =G^{{\mu }_c}\left(t\mathrm{,}x\right)\end{array}$ (48)

where we use (22) in the last step.

b) Next, we will show that $U^c\left(t\mathrm{,}x\right)\le V\left(t\mathrm{,}x\right)$ for all $\left(t\mathrm{,}x\right)\in \left[\mathrm{0,}T\right]\times \left(\mathrm{0,}\infty \right)$. Then we consider the stopping time

${\tau }_c=\inf \left\{s\in \left[0,T-t\right]|x{X}_s\le c\left(t+s\right)\right\}$ (49)

under P.

If $x\le c\left(t\right)$ then ${\tau }_c=0$ so that $U^c\left(t,x\right)=G^{{\mu }_c}\left(t,x\right)$ from a) above. On the other hand, if $x>c\left(t\right)$ then $U^c\left(t\mathrm{,}c\left(t\right)\right)=G^{{\mu }_c}\left(t\mathrm{,}c\left(t\right)\right)$ and $U^c\left(T\mathrm{,}x\right)=G^{{\mu }_c}\left(T\mathrm{,}x\right)$ for all $x>0$. From above analysis, we claim that $U^c\left(t+{\tau }_c\mathrm{,}x{X}_{{\tau }_c}\right)=G^{{\mu }_c}\left(t+{\tau }_c\mathrm{,}x{X}_{{\tau }_c}\right)$. Replacing s by ${\tau }_c$ in (46) and taking E on both sides, from the optional sampling theorem we get

$\begin{array}{c}{U}^c\left(t\mathrm{,}x\right)=\text{E}\left[{\text{e}}^{-r{\tau }_c}{U}^c\left(t+{\tau }_c\mathrm{,}x{X}_{{\tau }_c}\right)\right]\\ -\text{E}\left[{\displaystyle {\int }_0^{{\tau }_c}}{\text{e}}^{-rv}{H}^{{\mu }_c}\left(t+v\mathrm{,}x{X}_v\right)I\left(x{X}_v<c\left(t+v\right)\right)\text{d}v\right]\\ =\text{E}\left[{\text{e}}^{-r{\tau }_c}{G}^{{\mu }_c}\left(t+{\tau }_c\mathrm{,}x{X}_{{\tau }_c}\right)\right]\\ \le V\left(t\mathrm{,}x\right)\end{array}$ (50)

where

$V\left(t\mathrm{,}x\right)=\underset{0\le \tau \le T-t}{\sup }{\text{E}}_{t\mathrm{,}x}\left[{\text{e}}^{-r\tau }{G}^{{\mu }_c}\left(t+\tau \mathrm{,}x{X}_{\tau }\right)\right]\mathrm{.}$ (51)

Therefore, $U^c\left(t\mathrm{,}x\right)\le V\left(t\mathrm{,}x\right)$ as claimed.

c) Next, we are going to show that $b\left(t\right)\le c\left(t\right)$ for all $t\in \left[\mathrm{0,}T\right]$. We will prove in reverse. Suppose that there exists $t\in \left[\mathrm{0,}T\right]$ such that $c\left(t\right)<b\left(t\right)$. Take any $x\le c\left(t\right)$ and consider the stopping time

${\sigma }_b=\inf \left\{s\in \left[\mathrm{0,}T-t\right]\mathrm{<mo>\; |\; </mo>}x{X}_s\ge b\left(t+s\right)\right\}$ (52)

under P. Replacing s with ${\sigma }_b$ in (40), taking E on both sides and applying the optional sampling theorem we get

$\text{E}\left[{\text{e}}^{-r{\sigma }_b}V\left(t+{\sigma }_b\mathrm{,}x{X}_{{\sigma }_b}\right)\right]=V\left(t\mathrm{,}x\right)+\text{E}\left[{\displaystyle {\int }_0^{{\sigma }_b}}{\text{e}}^{-rv}{H}^{{\mu }_c}\left(t+v\mathrm{,}x{X}_v\right)\text{d}v\right]\mathrm{.}$ (53)

Repeating the above process in (46), we find

$\begin{array}{l}\text{E}\left[{\text{e}}^{-r{\sigma }_b}{U}^c\left(t+{\sigma }_b\mathrm{,}x{X}_{{\sigma }_b}\right)\right]\\ =U^c\left(t\mathrm{,}x\right)+\text{E}\left[{\displaystyle {\int }_0^{{\sigma }_b}}{\text{e}}^{-rv}{H}^{{\mu }_c}\left(t+v\mathrm{,}x{X}_v\right)I\left(x{X}_v<c\left(t+v\right)\right)\text{d}v\right]\mathrm{.}\end{array}$ (54)

We see $U^c\left(t,x\right)=G^{{\mu }_c}\left(t,x\right)=V\left(t,x\right)$ since $x\le c\left(t\right)$ and by b) we know $U^c\left(t+{\sigma }_b\mathrm{,}x{X}_{{\sigma }_b}\right)\le V\left(t+{\sigma }_b\mathrm{,}x{X}_{{\sigma }_b}\right)$, then (53) and (54) imply that

$\text{E}\left[{\displaystyle {\int }_0^{{\sigma }_b}}{\text{e}}^{-rv}{H}^{{\mu }_c}\left(t+v\mathrm{,}x{X}_v\right)I\left(x{X}_v\ge c\left(t+v\right)\right)\text{d}v\right]\ge 0.$ (55)

On the other hand, the fact that b lies below h forces (55) to be strictly negative and provides a contradiction. Therefore, $c\left(t\right)\ge b\left(t\right)$ as claimed.

d) Next, we will show that $b\left(t\right)=c\left(t\right)$ for all $t\in \left[\mathrm{0,}T\right]$. We first assume that there exists $t\in \left[\mathrm{0,}T\right]$ such that $c\left(t\right)>b\left(t\right)$. Take any $x\in \left(c\left(t\right)\mathrm{,}b\left(t\right)\right)$ and consider the stopping time

${\tau }_b=\inf \left\{s\in \left[\mathrm{0,}T-t\right]\mathrm{<mo>\; |\; </mo>}x{X}_s\le b\left(t+s\right)\right\}$ (56)

under P. Replacing s with ${\tau }_b$ in (40) and (46), taking E on both sides and applying the optional sampling theorem we get

$\text{E}\left[{\text{e}}^{-r{\tau }_b}V\left(t+{\tau }_b\mathrm{,}x{X}_{{\tau }_b}\right)\right]=V\left(t\mathrm{,}x\right)$ (57)

$\begin{array}{l}\text{E}\left[{\text{e}}^{-r{\tau }_b}{U}^c\left(t+{\tau }_b\mathrm{,}x{X}_{{\tau }_b}\right)\right]\\ =U^c\mathrm{<mo\; stretchy="false">\; (\; </mo>}t\mathrm{,}x\mathrm{<mo\; stretchy="false">\; )\; </mo>}+\text{E}\left[{\displaystyle {\int }_0^{{\tau }_b}}{\text{e}}^{-rv}{H}^{{\mu }_c}\left(t+v\mathrm{,}x{X}_v\right)I\left(x{X}_v<c\left(t+v\right)\right)\text{d}v\right]\mathrm{.}\end{array}$ (58)

We see that $U^c\left(t+{\tau }_b\mathrm{,}x{X}_{{\tau }_b}\right)=G^{{\mu }_c}\left(t+{\tau }_b\mathrm{,}x{X}_{{\tau }_b}\right)=V\left(t+{\tau }_b\mathrm{,}x{X}_{{\tau }_b}\right)$ by a) and c) above since $b\le c$. Furthermore, by b) we know $U^c\le V$ so (57) and (58) leads to

$\text{E}\left[{\displaystyle {\int }_0^{{\tau }_b}}{\text{e}}^{-rv}{H}^{{\mu }_c}\left(t+v\mathrm{,}x{X}_v\right)I\left(x{X}_v<c\left(t+v\right)\right)\text{d}v\right]\ge 0.$ (59)

However, the fact that c lies below h forces (59) to be strictly negative and provides a contradiction. Therefore, $c\left(t\right)=b\left(t\right)$ as claimed.

5. Financial Analysis of the British Cash-or-Nothing Put Option

In this section, we focus on the practical features of the British cash-or-nothing put option. We compare it with the American put option that is universally traded. We address the problem as to what the return would be if the price of the underlying asset enters the given region at a given time.

1) As shown in Figure 1, the rational exercise strategy of the British cash-or-nothing put option varies with different contract drift ${\mu }_c$. Recall that ${\mu }_c>r$ since if the opposite condition occurs, the option holder is overprotected by exercising the option at once. Furthermore, he can also avoid any discounting of the payoff. We also noted above that $b\left(T\right)=K$. In particular, if ${\mu }_c=r$ the boundary tends to be infinity backwards in time from T, which means it is optimal to stop immediately at the very beginning of time. The interest rate r stands for a infinite boundary and any ${\mu }_c>r$ represents a non-trivial rational exercise boundary. On the other hand, when ${\mu }_c\uparrow \infty$ the boundary decreases sharply to 0 backwards from $b\left(T\right)=K$. The option buyer should hold the option till maturity and it is not optional to exercise the option before time T. In this case the $\infty$ represents an infinite tolerance of the true drift and reduces the British cash-or-nothing put option to European cash-or-nothing put option. All above, the contract drift ${\mu }_c$ should not be set too close to r or too large since the former case leads to overprotection and the latter reduces it to a European style option.

2) We have mentioned above that the “overprotection” in this paper mainly refers to the initial stock price is below K which leads to the option holder is overprotected as the highest boundary in Figure 1 shown. Although bigger than the interest rate r, the contract drift is favourable enough to exercise the option immediately. Figure 2 compares the rational boundaries with different fixed parameters. In addition to this, the values of the boundary have a strong relationship with the volatility $\sigma$. With larger volatility, the option buyer has a greater tolerance of the drift. This is due to the “drown-out” effect of the higher volatility i.e. the option holder tends to believe that the high volatility can drown out the loss of the drift. In this case, the boundary b is likely to be more U-skewed with larger $b\left(0\right)$. Therefore, the contract drift ${\mu }_c$ should be set further away from the interest rate r with larger volatility. On the other hand, Figure 2 also illustrates the fact that if the contract drift ${\mu }_c$ is set closer to the interest rate r, the British cash-or-nothing put option will be more expensive since the overprotection feature is stronger.

3) Assume that the initial stock price is 11. The price of the European cash-or-nothing put option is 0.3498 with $K=10$,$T=1$,$r=0.1$ and $\sigma =0.4$. The price of the American cash-or-nothing put option is 0.7885 and the price of the British cash-or-nothing put option is 0.3597 with ${\mu }_c=0.13$ and 0.3536 with ${\mu }_c=0.2$. We get that the closer the contract drift gets to r, the protection feature is stronger and the option price is more expensive. What is more, we notice that the price of the British option lies between the price of the

European option and the American option. If the contract drift ${\mu }_c$ is too close to r, the protection feature works and makes the price of the British option extremely close to the American option. On the other hand, if ${\mu }_c\uparrow \infty$ the British cash-or-nothing put option will be reduced to the European cash-or-nothing put option. Therefore, we conclude that the price of the British cash-or-nothing put option lies above the European option and below the American option.

4) Table 1 illustrates the power of the protection feature in practice. For instance, if the stock price is 11 halfway to maturity then the option holder can exercise to a payoff with a reimbursement of 66% - 74% of the initial investment. However, in the case of the American cash-or-nothing put option, the holder is out-of-the-money and would receive zero payoff. We see that the size of the reimbursement also varies with the contract drift as analyzed in the former paragraph. When the contract drift gets closer to r, the option holder gets more protection as well as greater reimbursement.

5) In Table 2, we compare the returns of the British cash-or-nothing put option and the American style as the stock price is moving favourably. The results generally indicate that the British option outperforms the American option except a few points. In Table 3, we compare the protection feature of the British option with the reimbursement of American option if the holder of the latter can choose to sell his option freely without friction. The value of the American cash-or-nothing put option is always 1 below the strike price K so we make the region above K. Actually, above K the payoff of the American option is 0 and when this happens we assume that the option holder can sell his option. We see in Table 3 that this makes the returns very close to the British cash-or-nothing put option. However, in the real market the option holder’s ability to sell the option is affected by many exogenous factors such as the friction costs, taxes the liquidity of the market and so on. Therefore, from this point of view it makes the British style option more attractive since the protection feature to the British option is intrinsic and endogenous.

6. Other British Binary Options

We remarked above that the British binary option analyzed in this paper plays a cononical role among all other possibilities. The aim of this section is to provide a brief review of other British binary options as discussed in Section 1. Extending Definition 1 of Section 3 in an obvious manner we obtain the following classification of British binary options (according to their payoffs):

· The British cash-or-nothing call option:

${\text{E}}^{{\mu }_c}\left[I\left(X_T>K\right)\mathrm{<mo>\; |\; </mo>}{\mathcal{F}}_t\right]$ (60)

· The British asset-or-nothing call option:

${\text{E}}^{{\mu }_c}\left[X_{T}I\left(X_T>K\right)\mathrm{<mo>\; |\; </mo>}{\mathcal{F}}_t\right]$ (61)

· The British asset-or-nothing put option:

${\text{E}}^{{\mu }_c}\left[X_{T}I\left(X_T<K\right)\mathrm{<mo>\; |\; </mo>}{\mathcal{F}}_t\right]$ (62)

with ${\mu }_c$ is a contract drift.

Acknowledgements

The author is grateful to Professor Goran Peskir, Yerkin Kitapbayev and Shi Qiu for the informative discussions.

Conflicts of Interest

The author declares no conflicts of interest regarding the publication of this paper.

Cite this paper

Gao, M. (2019) The British Binary Option. Journal of Mathematical Finance, 9, 747-762. https://doi.org/10.4236/jmf.2019.94038

References