Uncertainty, non-linear contagion and the credit quality channel: An application to the Spanish interbank market

IF 6.1 2区 经济学 Q1 BUSINESS, FINANCE Journal of Financial Stability Pub Date : 2024-01-26 DOI:10.1016/j.jfs.2024.101226
Adrian Carro , Patricia Stupariu
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Abstract

Using granular data from the Spanish Credit Register, we study the contagion of financial distress via the credit quality channel in the Spanish interbank market. We propose a non-linear contagion mechanism dependent on banks’ balance-sheet structure (specifically, their leverage ratios). Moreover, we explicitly model uncertainty in lenders’ assessments of the probability of default of their borrowers, thus incorporating agents’ lack of complete information and heterogeneous expectations in their assessment of future outcomes. We perform multiple simulations across a wide range of possible levels of stress in the system, and we focus on disentangling the effects of these two key model components by comparing the results of our model with those of a linear and deterministic counterpart. In this way, we find that non-linear contagion leads to substantially larger losses than its linear counterpart for a wide range of intermediate levels of stress in the system, while its effects become negligible for very low and very high stress levels. Regarding uncertainty, we find that its effects, while smaller than those of non-linear contagion, are nonetheless relevant and most important around levels of stress at which different parts of the system become unstable. Interestingly, losses can be amplified or mitigated with respect to the deterministic case depending on the specific level of stress considered. Finally, the interaction between both model components—non-linear contagion and uncertainty—alters the area where uncertainty matters.

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不确定性、非线性传染和信贷质量渠道:西班牙银行间市场的应用
我们利用西班牙信贷登记册的细粒度数据,研究了西班牙银行间市场通过信贷质量渠道传染金融困境的情况。我们提出了一种取决于银行资产负债表结构(特别是杠杆比率)的非线性传染机制。此外,我们明确地模拟了贷款人对借款人违约概率评估的不确定性,从而将代理人在评估未来结果时缺乏完整信息和异质预期的情况纳入其中。我们对系统中各种可能的压力水平进行了多次模拟,并通过比较我们的模型与线性和确定性对应模型的结果,重点分析了这两个关键模型组成部分的影响。通过这种方法,我们发现非线性传染导致的损失在系统的各种中间压力水平下都比线性传染大得多,而在压力水平非常低和非常高的情况下,非线性传染的影响变得可以忽略不计。关于不确定性,我们发现其影响虽然小于非线性传染的影响,但在系统的不同部分变得不稳定的压力水平附近,其影响是相关的,也是最重要的。有趣的是,与确定性情况相比,损失可能会扩大或减轻,这取决于所考虑的具体压力水平。最后,两个模型组成部分--非线性传染和不确定性--之间的相互作用改变了不确定性的重要领域。
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来源期刊
CiteScore
7.70
自引率
9.30%
发文量
78
审稿时长
34 days
期刊介绍: The Journal of Financial Stability provides an international forum for rigorous theoretical and empirical macro and micro economic and financial analysis of the causes, management, resolution and preventions of financial crises, including banking, securities market, payments and currency crises. The primary focus is on applied research that would be useful in affecting public policy with respect to financial stability. Thus, the Journal seeks to promote interaction among researchers, policy-makers and practitioners to identify potential risks to financial stability and develop means for preventing, mitigating or managing these risks both within and across countries.
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