Analysis of Tehran Stock Exchange by Complex Network based on Threshold method

بررسی‌های حسابداری و حسابرسی

Gholam-Reza Jafari¹  Ali Namaki²  Reza Raei³ 

[1] استادیار دانشکده علوم پایه دانشگاه شهید بهشتی، ایران;دانشجوی MBA گرایش مالی دانشکده مدیریت دانشگاه تهران، ایران;دانشیار دانشکده مدیریت دانشگاه تهران، ایران;

关键词: Clustering coefficient;    Scale-free;    Stock network;    Systemic Risk;    Threshold.;   

DOI  :  

来源: DOAJ

【 摘 要 】

Analyzing the stock market via different methods is an essential component for forecasting the future events. One of the most recent methods for this analysis is the Complex Network notion. Complex Network is a new concept in quantitative science in order to have a complete look on the market. This method is useful for both scientific and practical purposes such as assets allocation and portfolio risk management. This is based on modeling the price fluctuations of stocks and the effects of them on each other. In this article, in order to constructing the network of Tehran Stock market, the threshold method is used. The most noticeable points are the appearance of high systemic risk in thresholds that are nearby the mean of correlation coefficients and increasing the component number in the stock correlation network. This analysis shows that Tehran Stock market is a Scale-free network in a specific threshold interval and it obeys a Power Law distribution. So this network is composed of small quantity of Hubs (vertices with large degree) and large quantity of vertices with small degree. This matter would be useful for portfolio risk management.

【 授权许可】

Unknown