从文本看银行网络：相互关系、中心性和决定因素
Bank Networks from Text: Interrelations, Centrality and Determinants
摘要：
在全球金融危机仍在持续的情况下，在试图评估银行与系统性风险之间的联系时，银行之间的相互依存关系成为焦点。迄今为止，这种分析主要是基于数字数据。相比之下，本研究试图通过利用金融话语来进一步深入了解银行之间的相互联系。我们提出了一个文本到网络的过程，它有其基础上的银行名称的共现，可以定量分析和可视化。为了量化银行的重要性，我们提出了一个信息中心性的措施，排名和评估银行中心性的趋势在讨论中。对于银行网络的定性评估，我们提出了一个可视化的，交互式的界面，更好地说明网络结构。我们说明了基于文本的方法对欧洲大型和复杂的银行集团（LCBG）在持续的金融危机通过量化银行的相互关系和中心性的讨论在3M新闻文章，跨越2007年第一季度至2014年第三季度。
英文摘要：
In the wake of the still ongoing global financial crisis, bank interdependencies have come into focus in trying to assess linkages among banks and systemic risk. To date, such analysis has largely been based on numerical data. By contrast, this study attempts to gain further insight into bank interconnections by tapping into financial discourse. We present a text-to-network process, which has its basis in co-occurrences of bank names and can be analyzed quantitatively and visualized. To quantify bank importance, we propose an information centrality measure to rank and assess trends of bank centrality in discussion. For qualitative assessment of bank networks, we put forward a visual, interactive interface for better illustrating network structures. We illustrate the text-based approach on European Large and Complex Banking Groups (LCBGs) during the ongoing financial crisis by quantifying bank interrelations and centrality from discussion in 3M news articles, spanning 2007Q1 to 2014Q3.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
