تغییر ثبات بازار در یک بازار مالی با پیوستگی زمانی با باورهای نامتجانس
|کد مقاله||سال انتشار||مقاله انگلیسی||ترجمه فارسی||تعداد کلمات|
|14389||2009||11 صفحه PDF||سفارش دهید||9473 کلمه|
Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)
Journal : Economic Modelling, Volume 26, Issue 6, November 2009, Pages 1432–1442
By considering a financial market of fundamentalists and trend followers in which the price trend of trend followers is formed as a weighted average of historical prices, we establish a continuous-time financial market model with time delay and examine the impact of time delay on market price dynamics. Conditions for the stability of the fundamental price in terms of agents' behavior parameters and time delay are obtained. In particular, it is found that an increase in time delay can not only destabilize the market price but also stabilize an otherwise unstable market price, leading to stability switching as delay increases. These interesting phenomena shed new light in understanding of mechanism on the market stability. When the fundamental price becomes unstable through Hopf bifurcations, sufficient conditions on the stability and global existence of the periodic solution are obtained.
Technical analysts or “chartists”, who use various technical trading rules such as moving averages, attempt to forecast future prices by the study of patterns of past prices and other summary statistics about security trading. Basically, they believe that shifts in supply and demand can be detected in charts of market movements. Despite the efficient market hypothesis of financial markets in the academic finance literature (see Fama, 1970), the use of technical trading rules, such as moving average rules, still seems to be widespread amongst financial market practitioners (see Allen and Taylor, 1990 and Taylor and Allen, 1992). This motivates recent studies on the impact of chartists on the market price behavior. Over the last two decades, heterogeneous agent models (HAMs) have been developed to explain various market phenomena and, as the main tool, the stability and bifurcation analysis has been widely used in HAMs. By incorporating heterogeneity and behavior of chartists and examining underlying deterministic models, HAMs have successfully explained the complicated role of chartists in market price behavior, market booms and crashes, and deviations of the market price from the fundamental price. Numerical simulations of the stochastic model based on the analytical analysis of the underlying deterministic model show some potentials of HAMs in generating the stylized facts (such as skewness, kurtosis, volatility clustering and fat tails of returns), and various power laws (such as the long memory in return volatility) observed in financial markets. We refer the reader to Hommes, 2006 and LeBaron, 2006 and Chiarella, Dieci, and He (2009) for surveys of the recent developments in this literature. Most of the HAMs in the literature are in discrete-time rather than continuous-time setup. To examine the role of moving average rules in market stability theoretically, Chiarella, He, and Hommes (2006) recently propose a discrete-time HAM in which demand for traded assets has both a fundamentalist and a chartist components. The chartist demand is governed by the difference between the current price and a moving average (MA). They show analytically and numerically that an increase in the lag length used in moving average can destabilize the market, leading to cyclic behavior of the market price around the fundamental price. The discrete-time setup facilities economic understanding and mathematical analysis, but it also faces some limitations when expectations of agents are formed in historical prices over different time periods. In particular, when dealing with MA rules in Chiarella, He, and Hommes (2006), different lag lengths used in the MA rules lead to different dimensions of the system which need to be dealt with separately. Very often, an analytical analysis is difficult when the dimension of the system is high. To overcome this difficulty, this paper extends the heterogeneous agent model of the financial market in Chiarella, He, and Hommes (2006) from the discrete-time to a continuous-time framework. The financial market is consisting of a group of fundamentalists and a group of trend followers who use a weighted average of historical prices as price trend. The fundamentalists are assumed to buy (sell) the stock when its price is below (above) the fundamental price. The trend followers are assumed to react to buy-sell signals generated by the difference between the current price and the price trend. The model is described mathematically by a system of delay differential equations, which provides a systematic analysis on various moving average rules used in the discrete-time model in Chiarella, He, and Hommes (2006). Development of deterministic delay differential equation models to characterize fluctuation of commodity prices and cyclic economic behavior has a long history, see, for example, Haldane, 1932, Kalecki, 1935, Goodwin, 1951, Larson, 1964, Howroyd and Russell, 1984, Kalecki, 1935, Kuang, 1993, Larson, 1964, Li and Muldowney, 1994 and Mackey, 1989. The development further leads to the studies on the effect of policy lag on macroeconomic stability, see for example, Phillips, 1954 and Phillips, 1957, Asada and Semmler (1995), Asada and Yoshida (2001) and Yoshida and Asada (2007). In particular, as indicated in Manfredi and Fanti (2004), an important class of delay economic models is that of distributed delay systems governed by Erlangian kernels, which are reducible to higher dimensional ordinary differential equation systems. Though there is a growing study on various market behavior, in our knowledge, using delay differential equations to model financial market behavior is relatively new. This paper aims to extend Chiarella, He, and Hommes (2006) model in discrete-time to continuous-time with a time delay framework. This extension provides a uniform treatment on the moving average rules with different window length in discrete-time model. Different from the distributed delay of Erlangian kernel type used in economic modelling literature, the delay introduced in this paper is not ‘reducible’ in general. By focusing on the impact of the behavior of heterogeneous agents, the stabilizing role of the time delay is examined. Sufficient conditions for the stability of the fundamental price in terms of agents' behavior parameters and time delay are derived. Consistent with the results obtained in the discrete-time model in Chiarella, He, and Hommes (2006), it is found that an increase in time delay can destabilize the market price, resulting in oscillatory market price characterized by a Hopf bifurcation. However, in contrast to the discrete-time model, it is also found that, depending on the behavior of the fundamentalists and trend followers, an increase in the time delay can also stabilize an otherwise unstable market price and such stability switching can happen many times. The stability switching is a very interesting and new phenomenon on price dynamics of the HAMs. The stabilizing role of reducible distributed delay has been observed in economic modelling (see Manfredi and Fanti, 2004) and it is of interest to ascertain that this stability is preserved under non-reducible delay introduced in this paper. When the fundamental steady state becomes unstable, the market price displays cyclic behavior around the fundamental price characterized by Hopf bifurcations. We also examine the stability of the Hopf bifurcation and furthermore the global existence of periodic solutions bifurcating from the Hopf bifurcations. The paper is organized as follows. We first introduce a deterministic HAM with two types of heterogeneous agents in a continuous time framework with time delay in Section 2. In Section 3, we first conduct a stability and bifurcation analysis of the delay differential equation model and then examine the stability of the periodic solution characterized by the Hopf bifurcation. In addition, we obtain some results on the global existence of periodic solutions resulting from the Hopf bifurcation. Section 4 concludes the paper. All the proofs of technical results are given in the appendices.
نتیجه گیری انگلیسی
This paper develops a continuous-time heterogeneous agent model when the price trend of the trend followers is formed by geometrically weighted and continuously distributed lagged prices. The model provides a unified treatment to the discrete-time HAMs where the price trend follows weighted moving average rules. However, the correspondence between the behavior of high dimensional discrete-time models and infinite dimensional continuous-time models with delays such as Eq. (2.10) may be severely limited. In particular, the stabilizing effect of an increase in time delay is apparently little known for the current discrete-time HAM literature. It is clear from the present work and the HAM literature (see for example, Chiarella et al., 2006 that, when agents use lagged information such as price to form the expectation, an increase in the time lag is potentially a destabilizing factor. However, the analysis presented in this paper shows that, under certain circumstance, a further increase in the time delay for an unstable system can stabilize the system. Furthermore, we have shown analytically and demonstrated numerically that the stability of the fundamental price can switch many times as the time delay increases. In addition, we provide some sufficient conditions on the existence and stability of periodic solution resulted from the Hopf bifurcation. The results obtained in this paper provide some newly interesting insight into the stabilizing role of the trend followers and the generating mechanism on market instability. The paper also demonstrates the advantage of continuous-time models over the discrete models and we hope the continuous-time framework established in this paper will provide an alternative approach to the current discrete-time financial market modelling with bounded rational and heterogeneous agents. In order to make the model parsimonious and to focus on the delay effect, we consider a very simple financial market with heterogeneous agents in this paper. The demand functions of the heterogeneous agents are assumed based on agents' behavior rather than on utility maximization in the standard financial economics theory. Justification and variation of the behavior demand functions using utility maximization are of interest. It is also of interest to extend the analysis to a stochastic model in which the fundamental price is driven by a stochastic process and the behavior of noise traders is taken into account. In addition, similar to the discrete-time models, the market fractions of the fundamentalists and trend followers can endogenously change when agents are allowed to switch among different types of beliefs or strategies based on certain fitness or performance measures. This paper provides a first step on the applications of delay differential equations to finance. We leave these issues for future research.