银行系统杠杆融资敞口的系统性风险指标

Gennaro de Novellis, Paola Musile Tanzi, E. Stanghellini
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引用次数: 0

摘要

近年来,以扩张性货币政策为特征的银行体系背景,推动了对杠杆贷款的投资。新冠肺炎疫情导致全球经济自2007-08年金融危机以来首次出现真正的放缓,杠杆贷款市场的增长受到主管部门的高度关注。尽管前景不利,银行仍保持稳健,但银行业格局继续受到与大流行病演变有关的不确定性的影响。本文的原始样本由杠杆贷款组成,将特定工具的信息与金融借款和银行/贷方辛迪加的组成信息相结合。本文的目的是确定一个系统风险指标,该指标考虑到每家银行内部信用风险的集中程度。为此目的,使用Mquantile回归,可以获得每个银行在0到1之间变化的指标(Mquantile系数),其中值越高表示该特定银行中风险杠杆贷款的存在越大。结合银行间贷款共享的指标,这也允许在这个特定市场的银行网络的图形表示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Systemic Risk Indicator for Leveraged Finance Exposure in the Banking System
In recent years, the context of the banking system,characterised by expansive monetary policies, has boosted the investments in leveraged loans. The COVID-19 pandemic brought the first real slowdown of the global economy since the financial crisis of 2007-08, and the growth of the leveraged loan market has been subject to significant attention from the competent authorities. Banks have remained solid despite the adverse outlook, however, the banking landscape continues to be impacted by the uncertainty relating to the evolution of the pandemic. The original sample for this paper, made up of leveraged loans, combines instrument-specific information with information on financial borrowing and the composition of the syndicate of banks/lenders. The aim of the paper is to identify a systemic risk indicator that takes into account the concentration of credit risk within each bank. For this purpose, using an Mquantile regression, it is possible to obtain an indicator (Mquantile coefficient) for each bank that varies between 0 and 1, where higher values indicate the greater presence of risky leveraged loans in that specific bank. Combined with an indicator of loan sharing between banks, this also allows a graphical representation of the network of banks in this specific market.
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