Abstract
We deal with the pricing of callable Russian options. A callable Russian option
is a contract in which both of the seller and the buyer have the rights to cancel and to exercise at any time,
respectively. The pricing of such an option can be formulated as an optimal stopping problem between the
seller and the buyer, and is analyzed as Dynkin game. We derive the value function of callable Russian
options and their optimal boundaries.
1. Introduction
For the last two decades there have been numerous papers (see [1]) on valuing American-style
options with finite lived maturity. The valuation of such American-style
options may often be able to be formulated as optimal stopping or free boundary
problems which provide us partial differential equations with specific
conditions. One of the difficult problems with pricing such options is finding
a closed form solution of the option price. However, there are shortcuts that
make it easy to calculate the closed form solution to that option (see [2–4]). Perpetuities can provide
us such a shortcut because free boundaries of optimal exercise policies no
longer depend on the time.
In this paper, we consider the pricing of Russian
options with call provision where the issuer (seller) has the right to call
back the option as well as the investor (buyer) has the right to exercise it.
The incorporation of call provision provides the issuer with option to retire
the obligation whenever the investor exercises his/her option. In their
pioneering theoretical studies on Russian options, Shepp and Shiryaev [5, 6] gave an analytical formula
for pricing the noncallable Russian option which is one of perpetual American
lookback options. The result of this paper is to provide the closed formed
solution and optimal boundaries of the callable Russian option with continuous
dividend, which is different from the pioneering theoretical paper Kyprianou
[2] in the sense that
our model has dividend payment.
The paper is organized as follows. In Section 2, we
introduce a pricing model of callable Russian options by means of a coupled
optimal stopping problem given by Kifer [7]. Section 3 represents the value function of callable
Russian options with dividend. Section 4 presents numerical examples to verify
analytical results. We end the paper with some concluding remarks and future
work.
2. Model
We consider the
Black-Scholes economy consisting of two securities, that is, the riskless bond
and the stock. Let
be the bond
price at time
which is given
by
(2.1)where
is the riskless
interest rate. Let
be the stock
price at time
which satisfies
the stochastic differential equation
(2.2)where
and
are constants,
is dividend
rate, and
is a standard
Brownian motion on a probability space
. Solving (2.2) with the initial condition
gives
(2.3)Define another probability
measure
by
(2.4)Let
(2.5)where
is a standard
Brownian motion with respect to
. Substituting (2.5) into (2.2), we
get
(2.6)Solving the above equation, we
obtain
(2.7)
Russian option
was introduced by Shepp and Shiryaev [5, 6] and is the contract that only the buyer has the right
to exercise it. On the other hand, a callable Russian option is the contract
that the seller and the buyer have both the rights to cancel and to exercise it
at any time, respectively. Let
be a cancel
time for the seller and
be an exercise
time for the buyer. We set
(2.8)When the buyer exercises the
contract, the seller pay
to the buyer.
When the seller cancels it, the buyer receives
. We assume that seller's right precedes buyer's one
when
. The payoff function of the callable Russian option
is given by
(2.9)where
is the penalty
cost for the cancel and a positive constant.
Let
be the set of
stopping times with respect to filtration
defined on the
nonnegative interval. Letting
and
be some given
parameters satisfying
and
, the value function of the callable Russian option
is defined
by
(2.10)The infimum and
supremum are taken over all stopping times
and
, respectively.
We define two
sets
and
as
(2.11)
and
are called the
seller's cancel region and the buyer's exercise region, respectively. Let
and
be the first
hitting times that the process
is in the
region
and
, that is,
(2.12)Lemma 2.1. Assume that
. Then, one has
(2.13)Proof. First, suppose that
. Then, it holds
(2.14)Next, suppose that
. By the same argument as Karatzas and Shreve [1, page 65], we
obtain
(2.15) where
is the standard
Brownian motion which attains the supremum in (2.15). Therefore, it follows that
(2.16)The proof is complete.
By this lemma, we may apply Proposition 3.3 in Kifer
[7]. Therefore, we can
see that the stopping times
and
attain the
infimum and the supremum in (2.10). Then, we have
(2.17)And
satisfies the
inequalities
(2.18)which provides the lower and the
upper bounds for the value function of the callable Russian option. Let
be the value
function of Russian option. And we know
because the
seller as a minimizer has the right to cancel the option. Moreover, it is clear
that
is increasing
in
and
.
Should the
penalty cost
be large
enough, it is optimal for the seller not to cancel the option. This raises a
question how large such a penalty cost should be. The following lemma is to
answer the question.Lemma 2.2. Set
. If
, the seller never cancels. Therefore, callable
Russian options are reduced to Russian options.Proof. We set 
. Because we know
by the
condition
, we have
, that is,
holds. By using
the relation
, we obtain
, that is, it is optimal for the seller not to cancel.
Therefore, the seller never cancels the contract for
.Lemma 2.3. Suppose
. Then, the function
is Lipschitz
continuous in
. And it holds
(2.19)Proof. Set
(2.20)Replacing the optimal stopping
times
and
from the
nonoptimal stopping times
and
, we have
(2.21)respectively. Note that
. For any
, we have
(2.22)where
. Since the above expectation is less than 1, we
have
(2.23)This means that
is Lipschitz
continuous in
, and (2.19) holds.
By regarding callable Russian options as a perpetual
double barrier option, the optimal stopping problem can be transformed into a
constant boundary problem with lower and upper boundaries. Let
be the exercise
region of Russian option. By the inequality
, it holds
. Consequently, we can see that the exercise region
is the interval
. On the other hand, the seller minimizes
and it holds
. From this, it follows that the seller's optimal
boundary
is a point
. The function
is represented
by
(2.24)where
(2.25)In order to calculate (2.25), we
prepare the following lemma.Lemma 2.4. Let
and
be the first
hitting times of the process
to the points
and
. Set
, and
. Then for
, one has
(2.26)
(2.27)Proof. First, we prove (2.26). Define
(2.28)We define
as
. By Girsanov's theorem,
is a standard
Brownian motion under the probability measure
. Let
and
be the first
time that the process
hits
or
, respectively, that is,
(2.29)Since we obtain
from
, we have
(2.30)Therefore, we
have
(2.31)From Karatzas and Shreve
[8, Exercise 8.11,
page 100], we can see that
(2.32)Therefore, we
obtain
(2.33)We omit the proof of (2.27) since
it is similar to that of (2.26).
We study the boundary point
of the exercise
region for the buyer. For
, we consider the function
. It is represented by
(2.34)The family of the functions
satisfies
(2.35)To get an optimal boundary point
, we compute the partial derivative of
with respect to
, which is given by the following lemma.Lemma 2.5. For any
, one has
(2.36)Proof. First, the derivative of the first
term is
(2.37)Next, the derivative of the
second term is
(2.38)where the last equality follows
from the relation
(2.39)After multiplying (2.37) by
and (2.38) by
, we obtain (2.36).
We set
(2.40)Since
and
, the equation
has at least
one solution in the interval
. We label all real solutions as
. Then, we have
(2.41)Then
attains the
supremum of
. In the following, we will show that the function
is convex and
satisfies smooth-pasting condition.Lemma 2.6.
is a convex
function in
.Proof. From
(2.50),
satisfies
(2.42)If
, we get
. Next assume that
. We consider function
for
. Then,
(2.43)Since we find that
from the above
equation,
is a convex
function. It follows from this the fact that
is a convex
function.Lemma 2.7.
satisfies
(2.44)Proof. Since
for
, it holds
. For
, we derivative (2.47):
(2.45)Therefore, we
get
(2.46)This completes the proof.
Therefore, we obtain the following theorem.Theorem 2.8. The value function of callable Russian option
is given
by
(2.47)And the optimal stopping times
are
(2.48)The optimal boundary for the
buyer
is the solution
in
to
, where
(2.49)
We can get (2.47) by
another method. For
, the function
satisfies the
differential equation
(2.50)Also, we have the boundary
conditions as follows:
(2.51)
(2.52)
(2.53)The general solution to (2.50)
is represented by
(2.54)where
and
are constants.
Here,
and
are the roots
of
(2.55)Therefore,
are
(2.56)
From conditions (2.51) and (2.52), we
get
(2.57)And from (2.57) and (2.53), we
have
(2.58)Substituting (2.57) into (2.54),
we can obtain (2.47).
3. Numerical Examples
In this
section, we present some numerical examples which show that theoretical results
are varied and some effects of the parameters on the price of the callable
Russian option. We use the values of the parameters as follows:
.
Figure 1 shows an optimal boundary for the buyer as a
function of penalty costs
, which is increasing in
. Figures 2 and 3 show that the price of the callable
Russian option has the low and upper bounds and is increasing and convex in
. Furthermore, we know that
is increasing
in
. Figure 4 demonstrates that the price of the callable
Russian option with dividend is equal to or less than the one without dividend.
Table 1 presents the values of the optimal boundaries for several combinations
of the parameters.
Table 1: Penalty

, interest rate

, dividend rate

, volatility

, discount factor

, and the optimal boundary for the buyer

.
Figure 1: Optimal boundary for the buyer.
Figure 2: The value function

(

).
Figure 3: The value function

(

).
Figure 4: Real line with dividend; dash line
without dividend.
4. Concluding Remarks
In this paper,
we considered the pricing model of callable Russian options, where the stock
pays continuously dividend. We derived the closed-form solution of such a
Russian option as well as the optimal boundaries for the seller and the buyer,
respectively. It is of interest to note that the price of the callable Russian
option with dividend is not equal to the one as dividend value
goes to zero.
This implicitly insist that the price of the callable Russian option without
dividend is not merely the limit value of the one as if dividend vanishes as
goes to zero.
We leave the rigorous proof for this question to future research. Further
research is left for future work. For example, can the price of callable
Russian options be decomposed into the sum of the prices of the noncallable
Russian option and the callable discount? If the callable Russian option is
finite lived, it is an interesting problem to evaluate the price of callable
Russian option as the difference between the existing price formula and the
premium value of the call provision.
Acknowledgment
This work was supported by Grant-in-Aid for Scientific Research (A) 20241037, (B) 20330068, and a Grant-in-Aid for Young Scientists (Start-up) 20810038.
References
- I. Karatzas and S. E. Shreve, Methods of Mathematical Finance, Springer, New York, NY, USA, 1998.
- A. E. Kyprianou, “Some calculations for Israeli options,” Finance and Stochastics, vol. 8, no. 1, pp. 73–86, 2004.
- A. Suzuki and K. Sawaki, “The pricing of callable perpetual American options,” Transactions of the Operations Research Society of Japan, vol. 49, pp. 19–31, 2006 (Japanese).
- A. Suzuki and K. Sawaki, “The pricing of perpetual game put options and optimal boundaries,” in Recent Advances in Stochastic Operations Research, pp. 175–188, World Scientific, River Edge, NJ, USA, 2007.
- L. A. Shepp and A. N. Shiryaev, “The Russian option: reduced regret,” The Annals of Applied Probability, vol. 3, no. 3, pp. 631–640, 1993.
- L. A. Shepp and A. N. Shiryaev, “A new look at pricing of the “Russian option”,” Theory of Probability and Its Applications, vol. 39, no. 1, pp. 103–119, 1994.
- Y. Kifer, “Game options,” Finance and Stochastics, vol. 4, no. 4, pp. 443–463, 2000.
- I. Karatzas and S. E. Shreve, Brownian Motion and Stochastic Calculus, Springer, New York, NY, USA, 2nd edition, 1991.