The Influence of Systemic Importance Indicators on Banks’ Credit Default Swap Spreads

Jill Cetina, Bert Loudis
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引用次数: 7

Abstract

This paper examines the relationship between banks’ observed credit default swap (CDS) spreads and possible measures of systemic importance. We use five-year CDS spreads from Markit with an international sample of 71 banks to investigate whether market participants are giving them a discount on borrowing costs based on the expectation that governments would consider them “too big to fail.” We find a consistent, statistically significant negative relationship between five-year CDS spreads and nine different systemic importance indicators using a generalized least squares (GLS) model. The paper finds that banks perceived as too big to fail have CDS spreads 44 to 80 basis points lower than other banks, depending on the asset-size threshold and controls used. Additionally, the study suggests market participants pay more attention to asset size than to a more complex measure, such as designation as a globally systemically important bank (G-SIB), that includes additional factors, such as substitutability and interconnectedness. Lastly, the model suggests that asset size acts as a threshold effect, rather than a continuous effect with the best fitting models using asset-size thresholds of $50 billion to $150 billion.
系统重要性指标对银行信用违约互换价差的影响
本文考察了银行信用违约互换(CDS)利差与可能的系统重要性度量之间的关系。我们利用Markit提供的五年期CDS利差和71家银行的国际样本,调查市场参与者是否基于政府会认为这些银行“太大而不能倒闭”的预期,给它们提供了借贷成本折扣。我们使用广义最小二乘(GLS)模型发现,五年期CDS息差与九种不同的系统重要性指标之间存在一致的、统计上显著的负相关关系。论文发现,被视为“大到不能倒”的银行的CDS息差比其他银行低44至80个基点,这取决于资产规模门槛和所采用的控制措施。此外,该研究表明,市场参与者更关注资产规模,而不是更复杂的衡量标准,如被指定为全球系统重要性银行(G-SIB),后者包括可替代性和互联性等其他因素。最后,该模型表明,资产规模是一种阈值效应,而不是使用500亿至1500亿美元资产规模阈值的最佳拟合模型的连续效应。
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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