In this work we aim to understand the role of the topology of financial economic networks on market concentration. We use the Herfindahl-Hirschman index (HHi) as a measure of market concentration, and we detect its maximum and minimum under the condition of scale-free shareholding data distribution, and power-law distribution of size of firms that have been estimated through empirical analyses. We show the relationship among positive correlation of size and the maximum and minimum value of HHi, depending on the parameter describing the scale-free network. The results show the relevance of the scale-free constraint on the values of HHi. ©2009 IEEE
Using a maximum entropy technique, we estimate the market shares of each firm in an industry using t...
As measures of concentration, especially for market (industry) concentration based on market shares,...
We study the topological structure of the network of shareholding relationships in the Italian stock...
In this paper we propose an adjustment to the Herfindahl-Hirschman concentration index for explicitl...
The paper analyses the phenomenon of market concentration in the context of the most popular industr...
We study the statistical properties of the network of shareholding relationships in the Italian stoc...
The paper analyses the phenomenon of market concentration in the context of the most popular indu...
This paper examines the understanding of business concentration through the Herfindahl-Hirschman Ind...
This paper aims to provide an analysis the structure of ownership and control of firms whose shares...
When major investors own shares in several firms in the same industry, the traditional approach to c...
While the two most widely used measures of market (industrial) concentration, the m-firm concentrati...
Abstract: This paper utilizes a rank-size function to investigate market concentration in lieu of we...
The relationships between Zipf s law (a relevant model for the firms' size and the financial investm...
The note presents a simpler alternative to the Modified Herfindahl-Hirschman Index to measure the ri...
Using a maximum entropy technique, we estimate the market shares of each firm in an industry using t...
Using a maximum entropy technique, we estimate the market shares of each firm in an industry using t...
As measures of concentration, especially for market (industry) concentration based on market shares,...
We study the topological structure of the network of shareholding relationships in the Italian stock...
In this paper we propose an adjustment to the Herfindahl-Hirschman concentration index for explicitl...
The paper analyses the phenomenon of market concentration in the context of the most popular industr...
We study the statistical properties of the network of shareholding relationships in the Italian stoc...
The paper analyses the phenomenon of market concentration in the context of the most popular indu...
This paper examines the understanding of business concentration through the Herfindahl-Hirschman Ind...
This paper aims to provide an analysis the structure of ownership and control of firms whose shares...
When major investors own shares in several firms in the same industry, the traditional approach to c...
While the two most widely used measures of market (industrial) concentration, the m-firm concentrati...
Abstract: This paper utilizes a rank-size function to investigate market concentration in lieu of we...
The relationships between Zipf s law (a relevant model for the firms' size and the financial investm...
The note presents a simpler alternative to the Modified Herfindahl-Hirschman Index to measure the ri...
Using a maximum entropy technique, we estimate the market shares of each firm in an industry using t...
Using a maximum entropy technique, we estimate the market shares of each firm in an industry using t...
As measures of concentration, especially for market (industry) concentration based on market shares,...
We study the topological structure of the network of shareholding relationships in the Italian stock...