Discrete Dynamics in Nature and Society

Discrete Dynamics in Nature and Society / 2016 / Article

Research Article | Open Access

Volume 2016 |Article ID 9606497 | https://doi.org/10.1155/2016/9606497

Huiling Wu, "Optimal Investment-Consumption Strategy under Inflation in a Markovian Regime-Switching Market", Discrete Dynamics in Nature and Society, vol. 2016, Article ID 9606497, 17 pages, 2016. https://doi.org/10.1155/2016/9606497

Optimal Investment-Consumption Strategy under Inflation in a Markovian Regime-Switching Market

Academic Editor: Silvia Romanelli
Received30 Dec 2015
Accepted09 Jun 2016
Published27 Jul 2016


This paper studies an investment-consumption problem under inflation. The consumption price level, the prices of the available assets, and the coefficient of the power utility are assumed to be sensitive to the states of underlying economy modulated by a continuous-time Markovian chain. The definition of admissible strategies and the verification theory corresponding to this stochastic control problem are presented. The analytical expression of the optimal investment strategy is derived. The existence, boundedness, and feasibility of the optimal consumption are proven. Finally, we analyze in detail by mathematical and numerical analysis how the risk aversion, the correlation coefficient between the inflation and the stock price, the inflation parameters, and the coefficient of utility affect the optimal investment and consumption strategy.

1. Introduction

The investment-consumption optimization problem has been one of the time-honored topics in which the decision-maker seeks to maximize the expected utility of intertemporal consumption plus the terminal wealth. The classical investment-consumption model can be traced back to the foundational work of Samuelson [1], Hakansson [2], Fama [3], and Merton [4]. Their foundational work has inspired various extensions and applications from different aspects in the past forty years, including Zariphopoulou [5], Akian et al. [6], Liu [7], Zhao and Nie [8], and Dai et al. [9] with transaction costs, Taksar and Sethi [10] and Zariphopoulou [11] with bankruptcy, Munk and Sørensen [12] and Wang and Yi [13] with stochastic interest rate or stochastic return rate, Munk [14] and Dybvig and Liu [15] with a stochastic income, and Pliska and Ye [16] and Kwak et al. [17] with a life insurance purchase.

No matter what the models are, the existing research papers mentioned above share the common setting that the investor makes the investment-consumption decision under the uncertainty of assets’ prices. However, the uncertainty of the assets’ prices also comes from the uncertainty of underlying economy. To be more specific, the market mode in a real world usually has a finite number of states, such as “bullish” and “bearish” and could switch among them. It is called “regime switching.” The empirical analysis shows that the returns of the assets, such as the stocks’ appreciation rates and volatility rates, are sensitive to the states of underlying economy and are quite different in different states. For example, Hardy [18] used monthly data from the Toronto Stock Exchange 300 indices and the Standard and Poor’s 500 to fit a regime-switching log-normal model and found that the regime-switching model is better than all the models considered. Usually the movement of the market states is depicted by a continuous-time finite-state Markovian chain and the asset’s return at time is assumed to be a function of the current market state. In the past years, there has been great interest of using regime-switching models in finance and actuarial science. Here we review the related literature with regime switching according to the research topic. Zhou and Yin [19], Çakmak and Özekici [20], Çelikyurt and Özekici [21], Wei and Ye [22], Wu and Li [23, 24], and Wu and Zeng [25] considered the optimal investment strategy under the mean-variance criterion while Chen et al. [26] investigated an asset-liability management problem. Cheung and Yang [27] and Çanakoğlu and Ozekici [28, 29] studied the investment policy under the power utility but the latter ones assumed that the utilities have the regime-dependent parameters; that is, the utility is being of the form . As for the optimal investment-consumption problem, Cheung and Yang [30] considered a multiperiod model where the return of the risky assets depends on the economic environments with an absorbing state which represents the bankruptcy state. Li et al. [31] and Zeng et al. [32] investigated a discrete-time investment-consumption problem with regime switching and uncertain time horizon. Gassiat et al. [33] studied this problem in an illiquid financial market where the asset trading has time restriction. Pirvu and Zhang [34] considered a continuous-time investment-consumption problem with regime-switching discount rate and asset returns. In this paper, enlightened by the existing literature, we assume that the utility function is of this form , where is dependent on the current market state . Under this assumption, the utility function is changed according to the market states over time. In this sense, our paper has adopted the similar assumption about the movement of the financial market and the utility parameters as some existing literature. For example, Çanakoğlu and Ozekici [28, 29] also assumed that the parameters of the power utility are state-dependent. However, there are some differences between our paper and the existing literature. Firstly, the optimization problem considered is different. Çanakoğlu and Ozekici [28, 29] investigated an optimal portfolio selection problem while our paper studies an investment-consumption strategy. Secondly, the above-mentioned research papers do not analyze the effects of the inflation. In contrast, in addition to the financial risk, the inflation risk is also considered in our paper.

In recent years, the phenomenon of inflation has been causing grave concern in developed and developing countries. When the continuous increase in price level exceeds a tolerable limit, the inflation can cause many distortions in investment behavior and effect greatly on daily life of the people. The persistence of inflation can diminish the investment enthusiasm on the normal financial products since the investors are not really earning money. They prefer acquisition of land and other assets which yield quick capital gains. When inflation continues over a period of time, it also erodes the motivation for saving due to the fact that the money is worth more presently than in the future. For example, if the return of the bank account was and the inflation was , then the real return on investment would be minus . In addition, when commodity price is raised, the consumers cannot buy as much as they could previously, and hence they have opted for major cuts in their daily budget. Nowadays, the problem of inflation is quite common for the people all over the world. Therefore, we think that it is theoretically and practically important to consider the investment-consumption problem under inflation.

However, none of the above papers allow for stochastic inflation. Here, we introduce some existing literature allowing for inflation. For the optimal portfolio selection problem under inflation, Brennan and Xia [35], Munk et al. [36], and Chiarella et al. [37] aimed to maximize the expected power utility from terminal real wealth and obtained the closed-form investment strategies for the investors. Menoncin [38] studied an optimal portfolio selection problem for a HARA utility investor under stochastic inflation and wage income. He obtained a quasiexplicit solution for this problem. Mamun and Visaltanachoti [39] analyzed numerically how the anticipated rate of inflation affected the investment strategy of US investors under the assumption that the assets available included treasury inflation protected securities, equity, real estate, treasury bonds, and corporate bonds. Their study indicated that when the anticipated rate of inflation is higher, the investor should allocate more wealth to the treasury inflation protected securities. For the defined contribution management problem under inflation, Battocchio and Menoncin [40] considered an optimal pension management under stochastic interest rate, wage income, and inflation. They wanted to maximize the expected exponential utility from terminal wealth and found a closed-form solution for this problem. Zhang and Ewald [41] assumed that the financial market consists of a money account, a stock, and an inflation linked bond. They wanted to maximize the expected power utility from the terminal wealth and obtained the optimal investment strategy using the martingale method. Han and Hung [42] assumed that the retired individual received a guarantee as a downside protection. The closed-form solution is obtained under the power utility function. For more information, refer to Battocchio and Menoncin [43], Zhang et al. [44], and de Jong [45]. For the optimal consumption problem under inflation, Brennan and Xia [35] investigated a problem for the interim consumption under the power utility and obtained the explicit expression of the consumption. Menoncin [46] generalized Menoncin [38] to the case with intertemporal consumption. He aimed to maximize the expected HARA utility of the intertemporal consumption plus the terminal wealth under the stochastic income and inflation and computed a quasiexplicit solution for both optimal consumption and investment. Chou et al. [47] considered an optimal portfolio-consumption problem under stochastic inflation with nominal and indexed bonds. They studied, respectively, an optimization problem that aims to maximize the expected terminal wealth at a fixed terminal time and an optimization problem that maximizes the intertemporal consumption utility with infinite time horizon. Paradiso et al. [48] studied the existence and stability of the consumption function in the United States of America since the 1950s. They introduced inflation as an additional explanatory variable to analyze the life-cycle consumption function.

We can see that literature on optimal investment-consumption under inflation is so limited. Moreover, the existing literature has not studied how the commodity price level affects the optimal investment-consumption decision of the investors in a Markovian regime-switching market as mentioned above. This paper aims to bridge the gap. Referring to Korn et al. [49], we assume that the instantaneous expected rate and volatility rate of inflation are also dependent on the market states.

The rest of our paper is organized as follows. The problem formulation and the verification theory are presented in Section 2. The explicit expressions of the investment strategy and consumption are obtained in Section 3. The properties of investment strategy are analyzed mathematically in Section 4. The properties of the optimal consumption proportion are demonstrated in Section 5 by mathematical and numerical analysis. This paper is concluded in Section 6.

2. Problem Formulation and Notations

In this paper, there are a bank account and a stock traded continuously within a time horizon whose price processes depend on the states of an underlying economy. Here the evolution of the market states is modulated by a continuous-time Markov chain taking discrete values in a finite space and having a generator . The price process of the bank account satisfies the following differential equation:where is the instantaneous interest rate of the bank account corresponding to the market state . The evolution of the price process of the stock is governed by the following Markovian regime-switching geometric Brownian motion:where is a standard one-dimensional Brownian motion and and are, respectively, the appreciation rate and volatility rate of the stock corresponding to the market state .

Let denote the nominal price level per unit of consumption goods at time . Then, the evolution of is assumed to follow the stochastic differential equation:where is a standard one-dimensional Brownian motion and and are the expected inflation rate and volatility rate at time , respectively. Generally, we assume that and are correlated with a correlation coefficient . Referring to Koo [50], (3) can be expressed aswhere is a standard one-dimensional Brownian motion independent of . Furthermore, we assume that and are independent of each other. To describe uncertainty, we employ a complete filtered probability space , where is defined as . We also assume throughout this paper that , , , , and are deterministic and uniformly bounded in for any given state .

Referring to Menoncin [46], the variable “represents the purchasing power of a nominal monetary unit. Furthermore, if we identify the value of a monetary unit with the number of goods that can be purchased against it, then can also be interpreted as the value of money.”

An investor joins the market at time with initial wealth and plans to invest and consume his wealth dynamically over a fixed time horizon . Let be the proportion of the wealth available invested in the stock at time and let be the real consumption, that is, the ratio between the nominal consumption and the price level . Then, the nominal wealth process satisfies the following stochastic differential equation:where .

Denote by the real wealth level at time after considering the inflation. Then according to Itô’s formula, the dynamics of iswith initial value .

The investor’s optimization problem could be described by the following:where is the discount rate and the set of admissible strategies is defined below. In our paper, the utility function is defined as , where , and .

Definition 1. A strategy is admissible if(i)for any initial wealth the stochastic differential equation (6) has a unique solution corresponding to ;(ii)the corresponding solution satisfies for all ;(iii), for all ;(iv) a.s.For convenience, denote by the set of admissible strategies .

We can write the value function in aswith terminal condition .

Then, the optimal investment-consumption problem can be formulated by the dynamic programming equationwhere and .

The optimality condition (9) is not sufficient if a verification theorem is not provided, so we present the verification theorem before we give the explicit solution to this problem. Let , where denote the set of all continuous functions that are continuously differentiable in and twice continuously differentiable in for any .

Theorem 2. Let , where , be a solution to the HJB equation (9) with boundary condition . If for all and all admissible controls there exists such thatthen we have (a);(b)if there exists an admissible strategy that is a maximizer of (9), then for all , , and . Furthermore, is an optimal strategy.

Proof. (a) Applying Itô’s formula to yieldsDenoteThus, we haveWe first assume that is bounded. When and and are admissible, according to Definition 1, we know thatare martingales, and . Since solves HJB equation (9), taking expectation on both sides of the above equality yieldswhich immediately implies that .
In the general case when might not be bounded, for a relatively fixed time , we definewhere satisfies and . Let be the first exit time of stochastic process from and . Then, is a sequence of stopping times. Furthermore, as , increases to with probability . Since now is bounded, referring to the analysis above, we can deriveEquation (10) implies uniform integrability of . Therefore, we havewhich implies that .
(b) When taking the strategy , the inequalities become equalities. Hence, conclusion (b) holds.

3. Optimal Investment-Consumption Strategy

In this section, we assume that the utility of the investor in state is given by the power utility functionwhere for all , , , and .

Suppose that a solution to HJB equation (9) is of this form:Then, substituting (20) into (9) yieldswhere is the partial derivative to .

If and , differentiating with respect to and in (21), respectively, gives the maximizers as follows:where solves the following equation:

Next we shall show that and the wealth process by the following lemmas step by step.

Lemma 3. If solves (24), then(a); furthermore, is uniformly bounded from below; that is, there exists a constant such that ;(b) is the only continuous solution of (24), and has an uniformly upper bound in .

Proof. (a) DenoteThen, in view of (24), we haveThe solution of the above equation is of this form:It is well known that is a martingale; then, we haveTo prove , we construct a Picard iterative sequence as follows:Noting that and , we haveSince all the coefficients in our paper are uniformly bounded, (32) indicates that for At the same time, it is well known that is the limit of the sequence as . Thus, , .
(b) For , denoteWe havewhich is a system of the first-order ordinary differential equations. Since is uniformly bounded for , satisfies thatfor suitable constants and . Moreover,Then,Therefore,which leads toNow it obvious that ’s satisfy Lipschitz condition. Consequently, (24) has a unique continuous solution denoted by in . A continuous function defined in a close interval must have an upper bound . If we define , we know that has a uniformly upper bound .

The next step is to prove that the stochastic differential equation (6) under in (22) and in (23) has a unique and nonnegative solution . The main results are presented in the following lemma.

Lemma 4. For any initial wealth , the stochastic differential equation (6) under and has a unique nonnegative solution . Furthermore,

Proof. Substituting (22) and (23) into (6) yieldswhereSince the coefficients of (41) are uniformly bounded, it is obvious that there exists a unique solution to (41) such asTherefore, for all .
Next, we shall prove that for . To this end, define , where is an -dimensional standard Brownian motion and is an column vector whose components are uniformly bounded in for any . For , we haveThe stochastic differential equation of is of this form:The uniformly bounded results in ; then, according to Krylov [51, p. 85], we have . It follows thatwhere is any column vector whose components are uniformly bounded in for any . In view of (43), for any given we haveIt follows (46) that .

Lemma 5. in (22) and in (23) are admissible and then are optimal strategies for the power utility model.

Proof. By Lemma 4, we know that conditions (i) and (ii) in Definition 1 hold and for all , which guarantees (iv) in Definition 1 holds. Since and are time deterministic and uniformly bounded functions for any given market state , holds naturally. By Lemma 4, we have