交易对手选择、期限转移和市场冻结:欧洲银行间市场的经验教训

IF 1.9 3区 经济学 Q2 ECONOMICS Journal of Economic Dynamics & Control Pub Date : 2024-01-20 DOI:10.1016/j.jedc.2024.104819
Susanna Saroyan
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引用次数: 0

摘要

我们利用 e-MID 市场涵盖雷曼事件前后两个时期的数据,探讨了关系贷款对银行同业债务期限结构的影响。我们将同业拆借的期限结构和期限缩短作为压力时期的风险指标进行研究。我们确定了银行层面和配对层面的变量,这些变量被证明包含了压力时期借贷关系的行为信息。利用两部分分数反应模型,我们发现持久的流动性关系会增加签订定期贷款合同的概率,但并不能防止在严重压力时期缩短贷款期限。最后,我们发现短期银行间负债结构集中的贷款人倾向于减少自己的长期贷款,这证实了定期银行间市场冻结的滚动风险观点。我们的研究结果对压力下银行间网络的建模和银行系统前瞻性压力测试的设计具有重要意义。
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Counterparty choice, maturity shifts and market freezes: Lessons from the European interbank market

We explore the impact of relationship lending on the interbank debt maturity structure of banks using data from the e-MID market covering both pre- and post-Lehman periods. We study the term structure and maturity shortening of interbank lending as an indicator of risk in times of stress. We identify bank-level and pair-level variables which are shown to contain information about the behaviour of lending relations during times of stress. Using a two-part fractional response model we show that durable liquidity relationships increase the probability of contracting term loans, but do not prevent maturity shortening during periods of acute stress. Finally, we find that lenders with concentrated short-term interbank liability structure tend to reduce their own long term lending, which confirms the rollover risk viewpoint of term interbank market freeze. Our findings are relevant for the modelling of interbank networks under stress and the design of forward looking stress tests for the banking system.

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来源期刊
CiteScore
3.10
自引率
10.50%
发文量
199
期刊介绍: The journal provides an outlet for publication of research concerning all theoretical and empirical aspects of economic dynamics and control as well as the development and use of computational methods in economics and finance. Contributions regarding computational methods may include, but are not restricted to, artificial intelligence, databases, decision support systems, genetic algorithms, modelling languages, neural networks, numerical algorithms for optimization, control and equilibria, parallel computing and qualitative reasoning.
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