净利息收入(NII)的新监管异常值测试(SOT):来自意大利银行样本的经验证据

D. Curcio, I. Gianfrancesco, Annalisa Pansini, Alina Preger
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摘要

本文对先前的文献和当前关于衡量银行账面利率风险的审慎监管框架(IRRBB)的辩论做出了贡献,该框架于2016年4月发生了重大变化,当时巴塞尔银行监管委员会(BCBS)发布了其测量标准的最新更新。该咨询由欧洲银行管理局(EBA)于2021年12月发起,旨在引入对净利息收入(NII)的监管异常值测试(SOT),提出了几个问题和政策含义,这些问题和政策含义可能会影响未来银行的资产和负债管理策略、内部控制系统、风险政策和程序。通过分析2021年底意大利28家商业银行的样本(占意大利银行业总资产的70%以上),我们观察到EBA提出的门槛似乎非常严格,并且在很大程度上取决于:i)所考虑的样本,ii)下行情景下适用于利率的下限,以及iii)当前利率期限结构水平。我们的研究结果表明,建议的价值应该谨慎考虑,因为它们的潜在影响似乎还没有得到彻底的评估。因此,有必要进一步分析,以保证用于校准阈值的方法具有更强的稳健性,同时也考虑到银行样本范围更广和时间序列更长,以及两种方法之间的相关性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The new supervisory outlier test (SOT) on net interest income (NII): empirical evidence from a sample of Italian banks
This paper contributes to prior literature and to the current debate concerning the prudential supervisory framework to measure interest rate risk in the banking book (IRRBB), which has been significantly changed on April 2016, when the Basel Committee on Banking Supervision (BCBS) published the latest update of its measurement standards. The consultation launched by the European Banking Authority (EBA) on December 2021, aiming at introducing the supervisory outlier test (SOT) on net interest income (NII), presents several issues and policy implications which could influence in the next future banks' asset and liability management strategies, their internal control systems, risk policies and procedures. By analyzing a sample of 28 Italian commercial banks at the end of 2021, representing more than 70% of Italian baking system’s total assets , we observe that the thresholds proposed by the EBA appear very strict and significantly depend on: i) the sample considered, ii) the lower bound applied to interest rates in the downward scenarios and iii) the current level of interest rates term structure. Our results suggest that the proposed values should be considered with caution as it seems that their potential impacts have not been thoroughly assessed. Further analyses are therefore necessary to guarantee greater robustness of the methodology used for the calibration of the thresholds, taking also into account a wider sample of banks and longer time series, as well as the correlation between the two approaches.
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