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Business complexity and risk management: Evidence from operational risk events in U.S. bank holding companies

机译:业务复杂性和风险管理:来自美国银行控股公司的操作风险事件的证据

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摘要

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 t he f requency and magnitude o f o perational r isk e vents i n U .S. b ank h olding c ompanies h ave i ncreased 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.
机译:业务复杂性如何影响金融机构的风险管理?常用的风险衡量方法依赖于资产负债表或基于市场的信息,在回答此问题时,这两种方法都可能遇到识别问题。资产负债表的衡量标准(例如资产回报率)在实现时会捕获风险,而经验识别则需要在实际承担风险时就了解其风险。债券收益率等基于市场的措施不仅忽略了投资者没有充分意识到由于信息不对称而导致管理层承担的所有风险的问题,而且还受到其他混淆因素的污染,例如与系统性相关的隐性政府担保。复杂金融机构的重要性。为了规避这些问题,我们将操作风险事件用作风险管理措施,因为(i)每个事件的起源时间都得到了很好的识别,并且(ii)风险事件可以作为风险管理中实体化失败的直接度量不受驱动资产价格的混杂因素的影响。使用1996-1999年间银行非银行活动的逐渐放松管制作为自然实验,我们证明了美国的汇率和操作风险水平。银行业的公司由于其业务复杂性而大大提高。这种趋势对于事先受法规约束的银行特别是对于那些已有第20条子公司的银行而言尤其如此,而对于不受约束的其他银行以及不受此法规约束的非银行金融机构而言,这种趋势尤其弱。这些结果揭示了解散后多元化的阴暗面,在早期的研究中表明,这可以改善股票和收益表现。我们的发现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,这一点与国际清算银行和美联储的密切相关。

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