Using Loan Loss Indicators by Loan Type to Sharpen the Evaluation of Banks’ Loan Loss Accruals

G. Bhat, Joshua A. Lee, Stephen G. Ryan
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引用次数: 23

Abstract

We provide evidence that the determinants of the primary loan loss indicators reported in financial reports — non-performing loans, the allowance and provision for loan losses, and net loan charge-offs — vary dramatically across real estate, commercial, and consumer loans, because these loan types differ in their homogeneity and collateralization and thus in the measurement of incurred losses under GAAP. Extending Wahlen (1994), we develop and estimate models of the non-discretionary and discretionary determinants of these loan loss indicators by loan type. The estimations indicate that banks’ exercise of discretion over provisions for loan losses is largely limited to heterogeneous commercial loans, a small slice of banks’ loan portfolios, and they provide many insights into the bank-specific and macroeconomic drivers of banks’ loan loss accruals. To demonstrate the increased statistical power and construct validity that results from conducting research on banks’ loan loss accruals by loan type, we show that this approach significantly improves the accuracy of out-of-sample predictions of future net loan charge-offs, more so for samples of banks whose loan portfolio composition varies more from that of the average bank. Our results illustrate the usefulness of disaggregated disclosures of loan loss indicators by loan type for future accounting research.
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利用贷款类型贷款损失指标对银行应计贷款损失进行评估
我们提供的证据表明,财务报告中报告的主要贷款损失指标的决定因素-不良贷款,贷款损失的准备和准备,以及净贷款冲销-在房地产,商业和消费贷款中差异很大,因为这些贷款类型在其同质性和抵押方面存在差异,因此在GAAP下发生损失的测量方面存在差异。在Wahlen(1994)的基础上,我们根据贷款类型开发并估计了这些贷款损失指标的非自由裁量和自由裁量决定因素模型。这些估计表明,银行对贷款损失拨备的酌情决定权在很大程度上仅限于异质商业贷款,这是银行贷款组合中的一小部分,它们提供了许多关于银行贷款损失累积的特定银行和宏观经济驱动因素的见解。为了证明通过按贷款类型对银行的贷款损失应计额进行研究所产生的统计能力和结构有效性的提高,我们表明,这种方法显著提高了对未来净贷款冲销的样本外预测的准确性,对于贷款组合构成与平均银行差异较大的银行样本来说,这种预测的准确性更高。我们的研究结果说明了按贷款类型分类披露贷款损失指标对未来会计研究的有用性。
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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