外面有人吗?从大价值传输系统事务数据中检测操作中断

IF 0.4 Q4 BUSINESS, FINANCE Journal of Financial Market Infrastructures Pub Date : 2020-01-17 DOI:10.21314/JFMI.2019.118
Neville Arjania, Ronald Heijmans
{"title":"外面有人吗?从大价值传输系统事务数据中检测操作中断","authors":"Neville Arjania, Ronald Heijmans","doi":"10.21314/JFMI.2019.118","DOIUrl":null,"url":null,"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.<br>","PeriodicalId":41226,"journal":{"name":"Journal of Financial Market Infrastructures","volume":null,"pages":null},"PeriodicalIF":0.4000,"publicationDate":"2020-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Is There Anybody Out There? Detecting Operational Outages from Large Value Transfer System Transaction Data\",\"authors\":\"Neville Arjania, Ronald Heijmans\",\"doi\":\"10.21314/JFMI.2019.118\",\"DOIUrl\":null,\"url\":null,\"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.<br>\",\"PeriodicalId\":41226,\"journal\":{\"name\":\"Journal of Financial Market Infrastructures\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.4000,\"publicationDate\":\"2020-01-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Financial Market Infrastructures\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21314/JFMI.2019.118\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Financial Market Infrastructures","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21314/JFMI.2019.118","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 1

摘要

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。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Is There Anybody Out There? Detecting Operational Outages from Large Value Transfer System Transaction Data
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
6
期刊最新文献
Construction of hypothetical scenarios for central counterparty stress tests using vine copulas A cost–benefit analysis of anti-procyclicality: analyzing approaches to procyclicality reduction in central counterparty initial margin models Industry adoption scenarios for authoritative data stores using the International Swaps and Derivatives Association Common Domain Model Climate risk and central counterparty risk management Procyclicality of central counterparty margin models: systemic problems need systemic approaches
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1