基于文本分析的系统性风险度量:来自中国银行业的证据

IF 4.8 2区 经济学 Q1 BUSINESS, FINANCE
Yi Fang , Hao Lin , Liping Lu
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引用次数: 0

摘要

系统性风险通常用上市银行之间的相互联系来衡量。然而,由于缺乏数据,对中小银行系统性风险的研究很少。因此,我们利用共现分析和媒体报道数据构建了中国711家银行的网络,并构建了一个基于负面新闻的指标来衡量系统性风险。在市场动荡的背景下,大银行之间的互联互通相对稳定,而中小银行之间的互联互通则呈现出从集中化向分散化过渡的特征。与大银行相比,2013年后,中小银行成为银行业系统性风险的主要驱动因素。这主要是由于中小银行同业业务和跨地区业务的增长,加强了中小银行之间以及与大银行之间的联系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Measuring systemic risk from textual Analysis: Evidence from Chinese Banks
Systemic risk is often measured with the interconnection among listed banks. However, the systemic risk of small and medium-sized banks is rarely addressed due to a lack data. Thus, we build a network of 711 banks in China using the co-occurrence analysis with media reports data, and construct an index based on the negative news to measure the systemic risk. The interconnection among large banks is relatively stable in the context of market turmoil, while the one between small and medium-sized banks is characterized by a transition from centralization to decentralization. In contrast with large banks, small and medium-sized banks become the main driver of systemic risk in the banking sector after 2013. It is mainly due to a hike of interbank business of small and medium-sized banks and cross-region operations, which have strengthened the interconnections among small and medium-sized banks, and their interconnections with large banks.
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来源期刊
CiteScore
7.30
自引率
2.20%
发文量
253
期刊介绍: The International Review of Economics & Finance (IREF) is a scholarly journal devoted to the publication of high quality theoretical and empirical articles in all areas of international economics, macroeconomics and financial economics. Contributions that facilitate the communications between the real and the financial sectors of the economy are of particular interest.
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