Bank Capital Requirements, Lending Supply, and Economic Activity: A Scenario Analysis Perspective

IF 3.4 3区 经济学 Q1 ECONOMICS
Antonio M. Conti, Andrea Nobili, Federico M. Signoretti
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引用次数: 0

Abstract

We evaluate the relation between bank capital, lending supply, and economic activity using Italian data over 1993–2015, a period which covers three key post-crisis regulatory and supervisory measures (the Basel III reform, the 2011 European Banking Authority [EBA] stress test, the European Central Bank's [ECB] Comprehensive Assessment, and launch of the Single Supervisory Mechanism—SSM). We quantify the impact of increased bank capital requirements using a novel procedure that recovers the magnitude of the policy measures, relying on scenario analysis and Bayesian VARs with a rich characterization of the banking sector. We document that the EBA and SSM measures unpredictably raised Tier 1 ratio by about 2.5 percentage points, leading to an average reduction in credit to firms and households by 5% and 4%, respectively, and to a decline in real GDP by over 2% and 4%. The Basel III bank capital increase is instead correctly anticipated in out-of-sample forecasting. These findings are robust to time-varying model parameters and consistent with narrative sign restriction techniques.

银行资本需求、贷款供给和经济活动:情景分析视角
我们利用意大利1993-2015年的数据评估了银行资本、贷款供应和经济活动之间的关系,这一时期涵盖了三个关键的危机后监管措施(巴塞尔协议III改革、2011年欧洲银行管理局(EBA)压力测试、欧洲央行(ECB)综合评估以及单一监管机制(ssm)的启动)。我们使用一种新的程序来量化增加银行资本要求的影响,该程序可以恢复政策措施的规模,依赖于场景分析和具有银行业丰富特征的贝叶斯var。我们发现,EBA和SSM措施不可预测地将一级资本充足率提高了约2.5个百分点,导致企业和家庭信贷分别平均减少5%和4%,实际GDP下降超过2%和4%。相反,在样本外预测中正确地预测了巴塞尔协议III银行资本的增加。这些发现对时变模型参数具有鲁棒性,并且与叙事符号限制技术一致。
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来源期刊
CiteScore
5.40
自引率
5.90%
发文量
91
期刊介绍: The Journal of Forecasting is an international journal that publishes refereed papers on forecasting. It is multidisciplinary, welcoming papers dealing with any aspect of forecasting: theoretical, practical, computational and methodological. A broad interpretation of the topic is taken with approaches from various subject areas, such as statistics, economics, psychology, systems engineering and social sciences, all encouraged. Furthermore, the Journal welcomes a wide diversity of applications in such fields as business, government, technology and the environment. Of particular interest are papers dealing with modelling issues and the relationship of forecasting systems to decision-making processes.
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