Information Asymmetry in the Artificial Financial Market Represented by Scale-Free Network
AbstractFinancial markets are complex systems in which the market price of the financial instruments reflects the distribution of information and investors’ expectations. If we regard investors as nodes (vertices) and interacting relations between investors as links (edges), than financial markets can be viewed as complex networks, whose structure corresponds to scale-free networks. Since the classic mathematical models have not yielded satisfactory results in market analysis, in recent years, the complex system analysis is carried out using agent-based models. In this paper we analyze the diffusion of information in the financial market presented by means of a scale-free network. We hypothesize that large investors are better informed than the smaller ones and explain reasons for appearance of information asymmetry between the traders. Considering the assumption that financial market is scale-free network, we present a simple agent-based computational model of the financial market, formed in Netlog and R programming environment, and investigate the effects of distribution of information through network. Simulations of artificial stock market (ASM) model with different number of heterogeneous agents and different priority in orders’ realization shows that initial wealth of agents is reallocated in favor of better informed agents. Small and “uninformed” agents can reduce the information gap by imitating the wealthier neighboring agent and increase the wealth. However, favoring realization of large orders can paradoxically improve the position of small agents in the market by reducing the effect of inaccurate anticipation of market movements due to lack of information and efficacy to make precise anticipation.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
This chapter was published in: Ognjen Radovic & Jelena Stankovic , , pages 165-174, 2012.
This item is provided by International School for Social and Business Studies, Celje, Slovenia in its series Knowledge and Learning: Global Empowerment; Proceedings of the Management, Knowledge and Learning International Conference 2012 with number 165-174.
Contact details of provider:
Web page: http://www.issbs.si
information asymmetry; artificial financial market; scale-free network;
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Goran Dakovic).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.