The Pricing and Hedging of an Attainable Claim in a Hybrid Black–Scholes Model under Regime Switching
This article formulates and dissects a Black–Scholes model with regime switching that can be used to describe the performance of a complete market. An explicit integrand formula is obtained when the -claim is given for an attainable claim in this complete market. In addition, some perfect results are presented on how to hedge an attainable claim for this Black–Scholes model, and the price of the European call and the self-financing portfolio are given explicitly. Finally, some concluding remarks are provided to illustrate the theoretical results.
The Black–Scholes model (1973), one of the most important models in modern financial theory, is often used to determine the fair prices of various options. Based on the research involving the classical Black–Scholes model, certain empirical phenomena have received considerable attention recently. The classical Black–Scholes model is often described by the following equations:where is a matrix and is a Brownian motion. The asset numbers are risky because of the presence of their diffusion terms and can be used to represent the stock investments. The asset number 0 is risk free due to the absence of the diffusion term, and it can be used to represent a bank investment.
A very natural question is: if the values of and are random, what will happen to the results? By taking advantage of the ergodic theory of irreducible Markov chain, this paper will provide a perfect result for the case of random and according to the switching of Markov chain. As an application of our theoretical results, we will answer this question in Example 1.
It is well known that the adjustments of the interest rates by the central banks can produce large disturbances among various options and asset investments. For this reason, it is necessary to consider a switching noise in the Black–Scholes model. In this paper, we adopt the Markov chain to describe this switching noise as in [1–4]. This type of noise can be regarded as a significant fluctuation in the models and can be illustrated as a switching between regimes.
We are motivated by the work of [5–7] for the option pricing, and we aim to hedge an attainable claim in a normalized market that is described by a stochastic Black–Scholes model with regime switching between two underlying assets that consist of a bond and a risky asset . Under the switching noise (Markov chain) and the white noise (Brownian motions), we give an explicit integrand formula , the price of the European call, and the self-financing portfolio .
2. Black–Scholes Model
Suppose that a market is described by , where is defined asand is an Itô process with the form
In general, we regularly seek a portfolio to hedge the claim if , are constants (see  for more details). A -claim is usually given bywhere and satisfy
can also be chosen by the corresponding formula. The portfolio is needed to hedge a given claim. It is interesting to find an explicit formula of integrand for a given -claim to make the portfolio self-financing. Using a generalized version of the Clark–Ocone theorem of the Malliavin calculus, one can find the explicit expression of . To do so, we refer the reader to . There is a simpler method; however, for the Markovian case, see [8, 10] for instance. However, there are no results for the regime-switching model, so the aim of this paper is to dissect a more practical model for the integrand formula .
The Black–Scholes model assumes that a market consists of at least one risky asset and one riskless asset. Without loss of generality, here we let a market that has only two securities , where and are two Itô processes of the form
In the literature , the authors give the explicit formula for the self-financing portfolio that replicates the -claim explicitly. They also mentioned a model aswhere is a 1-dimensional Brownian motion and are stochastic processes. (7) belongs to a small class of effectively solvable stochastic differential equations. It is easy to find the solution to equation (7),explicitly, if and only if
Suppose that there exists an equivalent martingale measure given by
Under this martingale measure , by the Girsanov theorem II, the processis a -Brownian motion. Thus, equation (7) can be rewritten asin terms of this -Brownian motion . Suppose that the market defined by equation (12) has no arbitrage and it is complete. Moreover, only this information for the European option defined by equation (7) is known. Note that the coefficients and in equation (7) are dependent on the random variable in an unknown way. The portfolio for the -claim and the price at of the European options with -claim cannot be defined explicitly. But, when and are deterministic, the authors in  give the price at of a European option with payoff given by a contingent -claimfor some lower bounded function such that
The price at time of a European option with payoff given by a contingent -claim in equation (13) has the explicit form aswhere and is a -Brownian motion.
Moreover, if are constants and , it is a very important special case of equation (7); the price of a European call option and the self-financing portfolio have been given explicitly in . Considering some practical meanings, we will discuss the case of in equation (7) dependent on in the form of Markov chain. We will give some perfect results by the method of the ergodic theory of an irreducible Markov chain.
In the following part of our paper, we will discuss the Black–Scholes model under regime switching, which is a particular case of equation (7), that is to say, are dependent on in the form of Markov chain. At the same time, the model in this paper is an extension of the classical Black–Scholes model and we will give some more perfect results than in . Without loss of generality, we firstly discuss a market that is formulated by a Black–Scholes model under regime switching.
3. Pricing and Hedging of an Attainable Claim
Throughout the paper, unless otherwise specified, let be a complete probability space with a filtration satisfying the usual conditions (it is right-continuous and increasing while contains all P-null sets). Let be a 1-dimensional standard Brownian motion defined on a complete probability space.
If we consider switching noise (Markov chain) in the classical Black–Scholes model, we can find a Black–Scholes model under regime switching that has the formwhere is a right-continuous Markov chain taking values in a finite state space . The generator of is given bywhere and are the transition rate from to satisfying if while .
We also assume that the Markov chain is irreducible which means that Markov chain has a unique stationary (probability) distribution that can be determined by solving the following linear equation:subject to
Therefore, equation (16) can be regarded as the results of the following equations:switching from one to the other according to the movement of Markov chain . Suppose that the stationary (probability) distribution of Markov chain is and the initial distribution of is also . Then, for any , the Markov chain has a stationary distribution because it is irreducible. Note that the solution of equation (16) is
We all know that a business cycle is often divided into two or more different states, called “expansion” and “contraction” in financial economics. A growing economy is frequently described as being in expansion. For this, we can let and . We can take the value and to represent the state in contraction. More generally, we can use the state space for the value of to model more complex business cycle structures. In this section, without loss of generality, we consider only two states for a market by using equation (16).
Theorem 1 (see ). Suppose that a market in terms of has the following form:And, assume that is a given function such thatexists andwhereThen, we have the Ito ̂representation formula
Lemma 1. Let be a stationary Markov chain taking value in a finite state space . Then, is a Gaussian process for any .
Proof. We assume that the initial distribution of is ; then,Recall that is a Gaussian process, so it is easy to see that for any , the random variable is normally distributed with mean 0 and variance ; hence, is a Gaussian process.
Remark 2. By Lemma 1, we are able to study the hedging of an attainable claim of a European option defined by a Black–Scholes model with Markovian switching. In the following, we consider a situation where a market has just two securities; we let be a risk free asset and a risky asset that is an Itô process with the form of equation (16). We have the following result for the hedging of an attainable claim for this situation.
Theorem 2. Suppose that a market is described by which is given by equation (16) with satisfyingfor taking values in . Then, we have the following:(i)The market is no arbitrage and complete, and the price at time of the European -claim is where and with(ii)If , then the self-financing portfolio needed to replicate the -claim is given by and is determined by where and .
Proof. (i)It is easy to observe that there exists a process which satisfies Then, equation (28) implies that Define the measure on by Then, and by the Girsanov theorem II (see [8, 11, 12]), the process is a -Brownian motion. By Theorem 12.1.8 and Theorem 12.2.5 of , the market is complete with no arbitrage opportunity. Therefore, the price at of the European option with payoff given by a contingent -claim is That is, By Lemma 1, under the measure , the random variable is normally distributed with mean 0 and variance: By the definition of the expectation of the function of random variables, can be expressed explicitly as equation (29).(ii)In terms of , we rewrite the second equation of equation (16) as So, we seek the portfolio as wherewith and Hence,which is assertion equation (31) and this completes the proof.
Considering the irreducible of the Markov chain , we can get
So, for the self-financing portfolio of a market described by a stochastic Black–Scholes model with Markovian switching, we find a perfect result than assertion equation (31) as
Remark 3. When , , and , Theorem 2 reduces to the classical stochastic Black–Scholes formula. The -claim is given in Theorem 2 according to the movement of Markov chain. The results indicated that -claim is dependent on the randomness of Markov chain, which extends the classical Black–Scholes model without Markovian switching.
Remark 4. Applications to the pricing and hedging of the European call option: we know that the -claims of the European call option arewhere the exercise price is a constant. Then, the price at time 0 iswhereis the standard normal distribution function. Moreover, the replicating portfolio for the claim in (47) is given by means that we can replicate the European call without short selling. For the European put options with -claims , it should be which means that we have to short sell to replicate the European put option.
In fact, the price at time 0 given in equation (48) follows by applying Theorem 2 to the functionIt does not matter that the function is not because an approximation argument shows that equation (31) or (46) still holds if we represent by
To illustrate our theoretical results, we provide the following example for the pricing, hedging, and an appropriate portfolio of a given attainable claim.
Example 1. Suppose that a market is , where obeys thatand is an Ornstein–Uhlenbeck process with Markovian switching aswhere is an irreducible Markov chain taking values in . Let , . We can seek that the portfolio iswhere and are uniquely given byand the attainable claim iswith . Then, by Theorem 1, we can find and the portfolio explicitly.
In fact, we can rewrite equation (54) in terms of asThen, the solution to equation (58) can be explicitly expressed asFrom equation (59), we know that the solution to equation (58) obeys the normal distribution for any . The mean of isand the variance isSo, obeys the normal distribution if the initial value obeys the normal distribution .
Now, if we choose , we can get thatfor . So, Theorem 1 implies thatand from , we get the expression of . Therefore,
Remark 5. We provide the results for the pricing and hedging of a European -claim defined by the Ornstein–Uhlenbeck process with Markovian switching in example 2. If we let the generator of Markov chain be , then by solving linear equation (18), we have the result and that is the unique stationary (probability) distribution of . Taking the values of , , , and , we can explicitly get the expression of and the portfolio of -claim .
4. Concluding Remarks
This paper mainly studied the Black–Scholes model with Markovian switching. The hedging of an attainable claim of a European option defined by this model is discussed. Under the assumption that Markov chain is irreducible, we obtained the explicit formula and and when -claim is given. An example of a market defined by an Ornstein–Uhlenbeck process is used to illustrate our theoretical results.
A business cycle is often divided into two or more different states, called “expansion” and “contraction” in financial economics. In this paper, we used a regime switching modulated by an irreducible Markov chain to describe a business cycle. As described in the introduction, the adjustment of interest rates for the central bank will affect the operation of the economy and produce large economic fluctuations. For example, an interest rate increase will prompt investors to move their capitals towards the bank deposits. As a result, investments in stocks, options, and bonds will fall off. In contrast, decreased interest rates will cause capitals to flow into equities, options, and bonds. This will lead to the back-and-forth conversion of the option pricing between several models. The regime switching can be described by a Markov chain. For these reasons, it is necessary to consider the hedging and replication of an option pricing model under regime switching. Therefore, we carry out the pricing and hedging of an attainable claim for the European call options in a Black–Scholes model with Markovian switching.
The present paper is the first attempt, to our knowledge, to investigate the stochastic option pricing model with regime switching modulated by an irreducible Markov chain . We believe that parts of methods and results appearing in this paper are also available for other option pricing models, such as American option pricing model, Parisian option pricing models, and currency option pricing models. We leave this additional work for our future research.
Data are available upon reasonable request to the corresponding author.
Conflicts of Interest
The authors declare no conflicts of interest.
All authors of this paper have equal contributions to this article, and all authors have read and approved the final manuscript.
The third author was supported by the Fundamental Research Funds for the Universities of Henan Province (NSFRF200321) and the Program of Young Scholar for Henan Polytechnic University (2020XQG-03).
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