دانلود مقاله ISI انگلیسی شماره 102121
ترجمه فارسی عنوان مقاله

شبکه های اطلاعاتی در بازار سهام براساس فاصله ابعاد چند ویژگی بین شرکت های ذکر شده

عنوان انگلیسی
Information networks in the stock market based on the distance of the multi-attribute dimensions between listed companies
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
102121 2018 17 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Physica A: Statistical Mechanics and its Applications, Volume 496, 15 April 2018, Pages 505-513

ترجمه کلمات کلیدی
شرکت لیست شده، سهامدار مشترک، شبکه های اطلاعاتی، فضای ابعاد چند معنی،
کلمات کلیدی انگلیسی
Listed company; Common shareholder; Information networks; Multi-attribute dimension space;
پیش نمایش مقاله
پیش نمایش مقاله  شبکه های اطلاعاتی در بازار سهام براساس فاصله ابعاد چند ویژگی بین شرکت های ذکر شده

چکیده انگلیسی

In the stock market, there are widespread information connections between economic agents. Listed companies can obtain mutual information about investment decisions from common shareholders, and the extent of sharing information often determines the relationships between listed companies. Because different shareholder compositions and investment shares lead to different formations of the company’s governance mechanisms, we map the investment relationships between shareholders to the multi-attribute dimensional spaces of the listed companies (each shareholder investment in a company is a company dimension). Then, we construct the listed company’s information network based on co-shareholder relationships. The weights for the edges in the information network are measured with the Euclidean distance between the listed companies in the multi-attribute dimension space. We define two indices to analyze the information network’s features. We conduct an empirical study that analyzes Chinese listed companies’ information networks. The results from the analysis show that with the diversification and decentralization of shareholder investments, almost all Chinese listed companies exchanged information through common shareholder relationships, and there is a gradual reduction in information sharing capacity between listed companies that have common shareholders. This network analysis has benefits for risk management and portfolio investments.