DETERMINATION OF SIFIs (SYSTEMATICALLY IMPORTANT FINANCIAL INSTITUTIONS) AMONG INDONESIAN BANKS USING NETWORK ANALYSIS APPROACH

Anggayasti Hayu Anindita, Zaafri Ananto Husodo
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Abstract

This study aims to measuring systemic risks using network analysis method to obtain the SIFI rating of Indonesian banks. The author analyzes the systemic risk implied in the Indonesian interbank network during the period from 2011 through 2015 based on various network measures such degree centrality and betweenness centrality. The main findings are as follows: First, interconnectedness in the interbank market is increasing. However, a different condition was significantly found in 2013, where the interconnectedness in the interbank market went downwards compared to the previous year. Second, the degree centrality score showed that government-owned and national private banks tend to be in-degree while foreign private banks tend to be out-degree. Third, there was no bank that consistently continued to have a high betweenness centrality score during the study period.
用网络分析法确定印尼银行间的SIFI(系统性重要金融机构)
本研究旨在使用网络分析方法来衡量系统性风险,以获得印尼银行的SIFI评级。基于程度中心性和介数中心性等各种网络指标,作者分析了2011年至2015年期间印尼银行间网络隐含的系统性风险。主要发现如下:首先,银行间市场的相互联系正在增加。然而,2013年发现了一个明显不同的情况,银行间市场的相互关联性与前一年相比有所下降。其次,程度中心性得分显示,国有和国有私人银行的程度倾向于内,而外国私人银行的度倾向于外。第三,在研究期间,没有一家银行持续保持较高的介数中心性得分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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