2019
DOI: 10.1016/j.bar.2018.10.001
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Large EU banks’ capital and liquidity: Relationship and impact on credit default swap spreads

Abstract: This paper explores the interrelations between bank capital and liquidity and their impact on the market probability of default. We employ an unbalanced panel of large European banks with listed credit default swap (CDS) contracts during the period 2005-2015, which allow us to consider the impact of the recent financial crisis. Our evidence suggests that bank capital and funding liquidity risk as defined in Basel III have an economically meaningful bidirectional relationship. However, the effect on CDS spread … Show more

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Cited by 10 publications
(7 citation statements)
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“…Therefore, European policymakers should develop a coherent strategy with the aim of limiting these risks, which involves clear objectives and a rapid implementation timeline. Carboni et al, 2017;Sclip et al, 2019). These papers do not use stock futures data.…”
Section: Discussionmentioning
confidence: 99%
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“…Therefore, European policymakers should develop a coherent strategy with the aim of limiting these risks, which involves clear objectives and a rapid implementation timeline. Carboni et al, 2017;Sclip et al, 2019). These papers do not use stock futures data.…”
Section: Discussionmentioning
confidence: 99%
“…Daily CDS quotes on senior 5-year debt contracts (with a modified-modified restructuring clause) are employed, because these are the most liquid and are widely adopted in the academic literature (e.g. Horváth and Huizinga, 2015;Schäfer et al, 2016;Sclip et al, 2019). For the stock and stock futures markets, daily closing prices are used.…”
Section: Sample Selectionmentioning
confidence: 99%
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“…However, the existing literature on the causal relationship between capital and liquidity raises concerns regarding serial correlation and endogeneity. To address these issues, I adopt the generalized method of moments (GMM) simultaneous equations model, following the approach of Distinguin et al (2013) and Sclip et al (2019). GMM is preferred over 2SLS (two-stage least squares) regression as it considers error heteroskedasticity and is robust to error distribution (Distinguin et al , 2013; Hall, 2005).…”
Section: Methodsmentioning
confidence: 99%
“…B accounts for market-wide factors, such as general business climate changes (e.g. Sclip et al, 2019), aggregate volatility (e.g. Annaert et al, 2013) and market-wide variations in CDS spreads (e.g.…”
Section: Methodsmentioning
confidence: 99%