Study On Economy And Management Based On Cellular Automata

Stock market and products marketing have taken an important role in the economic growth, which have always been the hotspots in the academic research. With the rapid social and economic development, people found that it was hard to use traditional theory to explain some complex phenomena such as the small company effect, price-earnings ratio effect, January disorders and so on. More and more scholars began to establish models based on the behavioral economic theory to explain the above phenomena. However, due to sophistic evolutions of stock market and new products marketing, people always focus on establishing mathematic models to study them which result in neglecting their evolutions. In this paper, some more realistic stock market and new products marketing model were based on the exciting Cellular Automata models. The evolutions were also simulated and analyzed, from which we can draw some valuable conclusions. The main texts are the following:(1) According to the characteristics of the stock market and behavioral finance theory, we established normal investors', technology investors', as well as fundamental investors'models which based on various investors'psychology, technology and their wealth. Consider the investment behaviors of various investors, the modeling theory and method using cellular automata are applied to establish a single stock automata model. With this model, simulations of the trading volume price and volatility before and after the introduction of margin financing business have been carried out. The simulation results show that the above business can increase the trading volume and form the trading price stability mechanism more easily, while it may help to increase the fluctuations of the trading price. We also give the advices to relieve the impact of short selling system.(2)Consider the correlations between the new product and it's complementary goods, the modeling theory and method using cellular automata are applied to establish a new products market diffusion model to study on their marketing tactics.Through the simulations and analyses of the new products market diffusion phenomena, discover that the strategies of purely reducing prices and enhancing the advertisement intensities are not able to expand the market share effectively, while cooperating with the complementary goods in pricing and advertising aspects can reach the above aim.(3)In the real market we consider that the consumers are free rather than fixed in the same positions. They can communicate with the other consumers more and their behaviors would be also influenced by the later. In this section we will use the consumer moving rules to establish CA model based on the above (2) model to study the more complex market.At the end of this paper, the simulation results were summed up and some further research on economy and management based on Cellular Automata were analyzed and prospected.