Contagion, Not Only Interconnection: Measuring the Transmission of Financial Distress

Miguel C. Herculano
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Abstract

This paper proposes a novel approach to understand contagion of financial distress in the banking system, which takes into account the spatial nature of the phenomena. We use a Bayesian spatial autoregressive model that treats the likelihood of default of each bank as endogenous, and dependent on the network formed by all the other banks. Identification is achieved by controlling for bank fundamentals, latent macrofinancial and bank specific shocks that have similar consequences to contagion and act as confounding factors. Through the lens of a simulations exercise we study the importance of the structure of financial networks for financial stability, shedding light on the empirical adherence of important theoretical propositions that remain untested.
传染,而不仅仅是相互联系:衡量金融危机的传播
本文提出了一种理解银行体系金融危机传染的新方法,该方法考虑了这种现象的空间性质。我们使用贝叶斯空间自回归模型,该模型将每个银行的违约可能性视为内生的,并依赖于所有其他银行形成的网络。识别是通过控制银行基本面、潜在的宏观金融和银行特有的冲击来实现的,这些冲击与传染有着相似的后果,并起到混淆因素的作用。通过模拟练习,我们研究了金融网络结构对金融稳定的重要性,揭示了尚未经过测试的重要理论命题的经验坚持性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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