Is There Anybody Out There? Detecting Operational Outages from Large Value Transfer System Transaction Data

IF 0.4 Q4 BUSINESS, FINANCE
Neville Arjania, Ronald Heijmans
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引用次数: 1

Abstract

This paper develops a method to identify operational outages of participants in the Canadian Large Value Transfer System (LVTS). We define an operational outage as either no activity or unusually low activity. We test our algorithm against a database of outages reported by participants in order to reduce false negatives. The false positives can be reduced by excluding “outages” found by the algorithm if a participant historically has no payment in a given five-minute time interval. In addition, we can test whether participants do indeed report all their operational outages. The results show that our algorithm works best for the largest participants, as they send in payments continuously. Our method can be used by LVTS operators and overseers to identify sources of operational risks.
外面有人吗?从大价值传输系统事务数据中检测操作中断
本文提出了一种识别加拿大大价值输电系统(LVTS)参与者运行中断的方法。我们将操作中断定义为没有活动或异常低的活动。为了减少误报,我们针对参与者报告的中断数据库测试了我们的算法。如果参与者在给定的五分钟时间间隔内没有付款,可以通过排除算法发现的“中断”来减少误报。此外,我们可以测试参与者是否确实报告了所有的操作中断。结果表明,我们的算法对最大的参与者最有效,因为他们持续支付。我们的方法可以被LVTS运营商和监管人员用来识别操作风险的来源。
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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