Title of article
Analysis of Collective Behavior of Iran Banking Sector by Random Matrix Theory
Author/Authors
Raei, Reza Department of Finance - Faculty of Management - University of Tehran , Namaki, Ali Department of Finance - Faculty of Management - University of Tehran , Vahabi, Hanie Department of Finance - Faculty of Management - University of Tehran
Pages
16
From page
60
To page
75
Abstract
Banked based financial sector of Iran leads us to focus on the banking industry and its components. One of the important aspects of this industry is its coupling structure. In this paper, we have analyzed the collective behavior of Iran banking sector by Random Matrix Approach (RMT). This technique is useful for splitting the information part of the correlation matrix from the random region. This research confirms good compliance with random matrix predictions. By removing the market mode of the system the average of the banking cross-correlation matrix changes. Then, by calculation of the participation ratio, node participation ratio and relative participation ratios of these banks, it is shown that the collective behavior of the system is so fragile. Also, by applying local and global perturbations on the banking sector, it is shown that this system is very sensitive to the global perturbation and the mean value of cross-correlations decreases rapidly that means some banks have crucial effects in the market.
Keywords
Iran banking sector , Random Matrix Theory , Collective Behavior , Perturbation
Journal title
Iranian Journal of Finance (IJFIFSA)
Serial Year
2019
Record number
2506633
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