Business Complexity and Risk Management: Evidence from Operational Risk Events in U. S. Bank Holding Companies

A. Chernobai, Ali K. Ozdagli, Jianlin Wang
{"title":"Business Complexity and Risk Management: Evidence from Operational Risk Events in U. S. Bank Holding Companies","authors":"A. Chernobai, Ali K. Ozdagli, Jianlin Wang","doi":"10.2139/ssrn.2736509","DOIUrl":null,"url":null,"abstract":"How does business complexity affect risk management in financial institutions? The commonly used risk measures rely on either balance-sheet or market-based information, both of which may suffer from identification problems when it comes to answering this question. Balance-sheet measures, such as return on assets, capture the risk when it is realized, while empirical identification requires knowledge of the risk when it is actually taken. Market-based measures, such as bond yields, not only ignore the problem that investors are not fully aware of all the risks taken by management due to asymmetric information, but are also contaminated by other confounding factors such as implicit government guarantees associated with the systemic importance of complex financial institutions. To circumvent these problems, we use operational risk events as a risk management measure because (i) the timing of the origin of each event is well identified, and (ii) the risk events can serve as a direct measure of materialized failures in risk management without being influenced by the confounding factors that drive asset prices. Using the gradual deregulation of banks’ nonbank activities during 1996–1999 as a natural experiment, we show that the frequency and magnitude of operational risk events in U. S. bank holding companies have increased significantly with their business complexity. This trend is particularly strong for banks that were bound by regulations beforehand, especially for those with an existing Section 20 subsidiary, and weaker for other banks that were not bound and for nonbank financial institutions that were not subject to the same regulations to begin with. These results reveal the darker side of post-deregulation diversification, which in earlier studies has been shown to lead to improved stock and earnings performance. Our findings have important implications for the regulation of financial institutions deemed systemically important, a designation tied closely to their complexity by the Bank for International Settlements and the Federal Reserve.","PeriodicalId":266240,"journal":{"name":"ERN: Econometric Studies of Government Regulation of Financial Markets (Topic)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"43","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ERN: Econometric Studies of Government Regulation of Financial Markets (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.2736509","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 43

Abstract

How does business complexity affect risk management in financial institutions? The commonly used risk measures rely on either balance-sheet or market-based information, both of which may suffer from identification problems when it comes to answering this question. Balance-sheet measures, such as return on assets, capture the risk when it is realized, while empirical identification requires knowledge of the risk when it is actually taken. Market-based measures, such as bond yields, not only ignore the problem that investors are not fully aware of all the risks taken by management due to asymmetric information, but are also contaminated by other confounding factors such as implicit government guarantees associated with the systemic importance of complex financial institutions. To circumvent these problems, we use operational risk events as a risk management measure because (i) the timing of the origin of each event is well identified, and (ii) the risk events can serve as a direct measure of materialized failures in risk management without being influenced by the confounding factors that drive asset prices. Using the gradual deregulation of banks’ nonbank activities during 1996–1999 as a natural experiment, we show that the frequency and magnitude of operational risk events in U. S. bank holding companies have increased significantly with their business complexity. This trend is particularly strong for banks that were bound by regulations beforehand, especially for those with an existing Section 20 subsidiary, and weaker for other banks that were not bound and for nonbank financial institutions that were not subject to the same regulations to begin with. These results reveal the darker side of post-deregulation diversification, which in earlier studies has been shown to lead to improved stock and earnings performance. Our findings have important implications for the regulation of financial institutions deemed systemically important, a designation tied closely to their complexity by the Bank for International Settlements and the Federal Reserve.
业务复杂性与风险管理:来自美国银行控股公司操作风险事件的证据
业务复杂性如何影响金融机构的风险管理?常用的风险度量方法依赖于资产负债表或基于市场的信息,在回答这个问题时,这两种方法都可能存在识别问题。资产负债表上的指标,如资产回报率,在风险实现时捕捉风险,而经验识别则需要在风险实际发生时了解风险。以市场为基础的措施,如债券收益率,不仅忽略了投资者没有完全意识到管理层因信息不对称而承担的所有风险的问题,而且还受到其他混杂因素的污染,例如与复杂金融机构的系统重要性相关的隐性政府担保。为了规避这些问题,我们使用操作风险事件作为风险管理措施,因为(i)每个事件的起源时间都很好地确定,(ii)风险事件可以作为风险管理中实际失败的直接衡量标准,而不受驱动资产价格的混杂因素的影响。我们以1996-1999年银行非银行业务逐渐放松管制为自然实验,发现美国银行控股公司操作风险事件的频率和规模随着其业务复杂性的增加而显著增加。对于那些事先受到监管约束的银行,尤其是那些现有第20条子公司的银行,这种趋势尤为明显,而对于那些不受约束的银行和那些一开始就不受同样监管约束的非银行金融机构,这种趋势则较弱。这些结果揭示了放松管制后多元化的阴暗面,在早期的研究中,多元化已被证明会导致股票和盈利表现的改善。我们的研究结果对被认为具有系统重要性的金融机构的监管具有重要意义,国际清算银行(bis)和美联储(fed)将这一称号与它们的复杂性紧密联系在一起。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信