The Study Of Affecting Factors Of Investors' Wealth Based On Free Scale Network

In the financial market, information has an important influence on the decision-making process, returns and final wealth of investors. The relationship within investors, stock price and market information are extremely complicated. The investors' attitude of market information will affect his buying and selling behaviors.The buying and selling behaviors will affect stock price, which will change investors' attitude of market information in turn. Information dissemination among investors will affect stock price and the change of stock price will lead to the investors' wealth.So the study of the impact which is market information have on wealth concern to many investors. And it is very important of this study theoretically and practically.Using the computational finance method and the complex network theory here,we build a complex network information dissemination model. Based on the analysis of the structure of information dissemination network in Chinese stock market and the microscopic behavior of investors. And then we establish a financial simulation platform. Through controlled and repeated experiments, we study the the impact of information dissemination on Agent' wealth. And the impacts include market information dissemination, the agents' degree in the BA scale free network and trade strategy.To find the effects of market information on investors' wealth, we divide the investors int two groups. In one group, the investors will use the market information in the scale free network when they make investment decisions, and the others will not.The results show that market information will significant affect Agents' wealth. And in the dynamic of wealth, both wealth of investors using and not using market information will change along time. And the investors not using information obviously get more wealth than the other. Furthermore, we study the impact of the agents' degree in the network on the their wealth. Similarly, we divide the investors int two groups. In one group, the degree of Agent in the network structure is above the average degree, and the others' degree is under the value. This means that the degree of Agent on the network in the first group is lager then the others'. The results show that the degree of Agents in the scale free network has a significant impact on investors' wealth. The lager average degree of the Agent on the network, the less wealth the investors will get in the stock market, which is significant in statistics. Inaddition, through comparative analysis, we find that technical traders can significant get more wealth than fundamental traders in general.