Systemic Operational Risk - The Libor Manipulation Scandal

IF 0.4 4区 经济学 Q4 BUSINESS, FINANCE
P. Mcconnell
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引用次数: 39

Abstract

The manipulation of LIBOR rates was not a localized event. Unscrupulous traders and managers in some of the largest banks around the world deliberately and systematically manipulated borrowing rates. It was not the work of isolated 'rogue traders' but part of business-as-usual in the international money markets. This paper describes the LIBOR Scandal and argues that it is an example of Systemic Operational Risk, in particular People Risk. The paper first describes the LIBOR setting process. The explosive growth over the past 25 years in the use of Interest Rate Swaps (IRS) and the process of resetting rates on IRS, which ultimately led to the unethical manipulation of the underlying LIBOR rates, is then described. The paper then looks at official inquiries into manipulation of LIBOR at three banks: Barclays, UBS and RBS to identify examples of Operational Risk. The transcripts of conversations unearthed by these investigations show rampant illicit activities that were apparently a normal part of doing business, as traders, LIBOR submitters and brokers colluded to manipulate LIBOR for their own interests. Finally, the paper makes some suggestions as to how the management of Systemic Operational Risks may be addressed by banks and regulators.
系统性操作风险——Libor操纵丑闻
伦敦银行同业拆借利率(LIBOR)被操纵并非一个局部事件。世界上一些最大的银行中肆无忌惮的交易员和经理故意和系统地操纵借款利率。这不是孤立的“流氓交易员”所为,而是国际货币市场正常运作的一部分。本文描述了LIBOR丑闻,并认为这是系统性操作风险的一个例子,特别是人员风险。本文首先描述了LIBOR的设定过程。然后描述了过去25年来利率掉期(IRS)的爆炸性增长以及IRS利率重置过程,这最终导致了对潜在LIBOR利率的不道德操纵。然后,本文着眼于官方对三家银行(巴克莱、瑞银和苏格兰皇家银行)操纵LIBOR的调查,以找出操作风险的例子。这些调查揭露的谈话记录显示,猖獗的非法活动显然是商业活动的正常组成部分,交易员、LIBOR提交者和经纪人为了自己的利益串通操纵LIBOR。最后,本文对银行和监管机构如何应对系统性操作风险管理提出了一些建议。
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来源期刊
Journal of Operational Risk
Journal of Operational Risk BUSINESS, FINANCE-
CiteScore
1.00
自引率
40.00%
发文量
6
期刊介绍: In December 2017, the Basel Committee published the final version of its standardized measurement approach (SMA) methodology, which will replace the approaches set out in Basel II (ie, the simpler standardized approaches and advanced measurement approach (AMA) that allowed use of internal models) from January 1, 2022. Independently of the Basel III rules, in order to manage and mitigate risks, they still need to be measurable by anyone. The operational risk industry needs to keep that in mind. While the purpose of the now defunct AMA was to find out the level of regulatory capital to protect a firm against operational risks, we still can – and should – use models to estimate operational risk economic capital. Without these, the task of managing and mitigating capital would be incredibly difficult. These internal models are now unshackled from regulatory requirements and can be optimized for managing the daily risks to which financial institutions are exposed. In addition, operational risk models can and should be used for stress tests and Comprehensive Capital Analysis and Review (CCAR). The Journal of Operational Risk also welcomes papers on nonfinancial risks as well as topics including, but not limited to, the following. The modeling and management of operational risk. Recent advances in techniques used to model operational risk, eg, copulas, correlation, aggregate loss distributions, Bayesian methods and extreme value theory. The pricing and hedging of operational risk and/or any risk transfer techniques. Data modeling external loss data, business control factors and scenario analysis. Models used to aggregate different types of data. Causal models that link key risk indicators and macroeconomic factors to operational losses. Regulatory issues, such as Basel II or any other local regulatory issue. Enterprise risk management. Cyber risk. Big data.
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