Business models of banks, leverage and the distance-to-default

A. Blundell-Wignall, Caroline Roulet
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引用次数: 81

Abstract

This study models the distance-to-default (DTD) of a large sample of banks with the aim of shedding light on policy and regulatory issues. The determinants of the distance-to-default in a panel sample of 94 banks over the period 2004 to 2011, controlling for the market beta of each bank, includes house prices, relative size, simple leverage, derivatives gross market value of exposure, trading assets, wholesale funding and cross-border revenue. The Basel Tier 1 ratio finds no support as a predictor of default risk. The un-weighted leverage ratio, on the other hand, finds strong support. At the macro level house prices are a powerful predictor of the DTD. At the business model level, the results appear to be consistent with an approach to policy that focuses on the apparent importance of the “size-derivativesleverage- wholesale funding nexus” in influencing the DTD of banks. While these results are preliminary, it is encouraging that the out-of-sample predictive power of the model improves systematically as each year of new observations is added. The results are also consistent with some central bank involvement in the supervision process, given the importance of the asset price cycle, identified in this study.
银行的商业模式,杠杆和离违约的距离
本研究对大量银行样本的违约距离(DTD)进行了建模,旨在揭示政策和监管问题。在对每家银行的市场贝塔系数进行控制后,对2004年至2011年期间94家银行的面板样本进行了分析,其中决定违约距离的因素包括房价、相对规模、简单杠杆、衍生品敞口总市值、交易资产、批发融资和跨境收入。巴塞尔一级资本充足率无法作为违约风险的预测指标。另一方面,非加权杠杆率得到了强有力的支持。在宏观层面上,房价是DTD的有力预测指标。在商业模式层面,结果似乎与一种政策方法一致,即关注“规模-衍生品-杠杆-批发融资关系”在影响银行DTD方面的明显重要性。虽然这些结果是初步的,但令人鼓舞的是,随着每年新观测的增加,模型的样本外预测能力系统地提高了。考虑到本研究确定的资产价格周期的重要性,结果也与中央银行参与监管过程相一致。
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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