Bank Crisis Management Policies and the New Instability

A. Patalaha, M. A. Shchepeleva
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Abstract

This research focuses on the determinants of banking crises. Despite all efforts to create systems of leading indicators, banking crises still occur, leading to negative consequences not only in the financial but also in the real sector of the economy. Our objective is to figure out how the characteristics of past banking crises, in particular the amount of liquidity support provided by the government, are related to the probability of subsequent banking crises. To accomplish this task, we use a classification tree methodology which we apply to a sample of 56 countries over the period 2000–2021. In addition to the characteristics of past crisis episodes, we add to the list of potential predictors of banking crises indicators related to the depth, structure and efficiency of the banking sector; institutional and macroeconomic indicators; and the index of macroprudential policy. To test the robustness of our results, we perform variable selection through Bayesian model averaging. Our results suggest that liquidity support during the past banking crisis is important for future crises. We demonstrate that excessive government support aimed at stabilizing the system during a crisis may affect future banking sector stability mainly by increasing the level of moral hazard in the financial system.
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银行危机管理政策与新的不稳定性
这项研究的重点是银行危机的决定因素。尽管为建立领先指标体系做出了种种努力,但银行业危机仍时有发生,不仅给金融业,也给实体经济部门带来了负面影响。我们的目标是弄清过去银行业危机的特征,特别是政府提供的流动性支持的数量,与随后发生银行业危机的概率之间的关系。为了完成这一任务,我们采用了分类树方法,并将其应用于 2000-2021 年间 56 个国家的样本中。除了以往危机事件的特征外,我们还在银行危机潜在预测因素列表中添加了与银行业的深度、结构和效率相关的指标;制度和宏观经济指标;以及宏观审慎政策指数。为了检验结果的稳健性,我们通过贝叶斯模型平均法进行了变量选择。我们的结果表明,过去银行业危机期间的流动性支持对未来的危机非常重要。我们证明,政府在危机期间为稳定系统而提供的过度支持可能会影响未来银行业的稳定,主要是通过增加金融系统的道德风险水平。
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