Charge-offs, Defaults and the Financial Accelerator

Christopher M. Gunn, Alok Johri, M. Letendre
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引用次数: 1

Abstract

Abstract U.S. banks countercyclically vary the ratio of charge-offs to defaulted loans (COD) and the standard deviation of COD is roughly 15 times that of GDP. We show that canonical financial accelerator models cannot explain these facts, but introducing stochastic default costs and stochastic risk can potentially resolve the discrepancy. Estimating the augmented model and including both surprise and news shocks reveals that default cost news shocks account for most of the variance of COD. Also, in the many model specifications we work with, default cost news shocks always account for at least 20 percent of the variance of investment, while risk news shocks account for a significant portion of the variation in the credit spread, and around 10 percent of the variation in investment growth. Both news shocks also account for a material amount of the variance of hours and output growth.
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冲销、违约和金融加速器
美国银行的坏账与违约贷款比率(COD)呈逆周期变化,COD的标准差约为GDP的15倍。我们发现规范的金融加速器模型不能解释这些事实,但引入随机违约成本和随机风险可以潜在地解决这些差异。对扩充模型进行估计,并同时考虑意外冲击和新闻冲击,结果表明,违约成本新闻冲击占COD方差的大部分。此外,在我们使用的许多模型规范中,违约成本新闻冲击总是占投资方差的至少20%,而风险新闻冲击占信贷息差变化的很大一部分,占投资增长变化的10%左右。这两个新闻冲击也解释了工时和产出增长差异的实质性数量。
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