系统重要性账户、网络拓扑与艺术传染

S. W. Schmitz, Claus Puhr, Michael Boss, G. Krenn, V. Metz
{"title":"系统重要性账户、网络拓扑与艺术传染","authors":"S. W. Schmitz, Claus Puhr, Michael Boss, G. Krenn, V. Metz","doi":"10.2139/ssrn.1137864","DOIUrl":null,"url":null,"abstract":"This study investigates the relevance of network topology for the stability of payment systems in the face of operational shocks. The analysis is based on a large number of simulations of the Austrian large-value payment system ARTIS that quantify the contagion impact of operational shocks at participants’ sites. It uncovers that only few accounts are systemically important. We also find that network indicators at the node level can have some explanatory power, which is higher when the analysis focuses on contagion measured by the number of banks with unsettled payments than on that measured by the value of unsettled payments. The explanatory power is, however, lower than that of the more traditional measures of node activity(value and volume) of payments. At this stage of our research, network indicators at the network level seem to be of limited use for stability analysis.","PeriodicalId":383948,"journal":{"name":"New Institutional Economics","volume":"2008 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Systemically Important Accounts, Network Topology and Contagion in Artis\",\"authors\":\"S. W. Schmitz, Claus Puhr, Michael Boss, G. Krenn, V. Metz\",\"doi\":\"10.2139/ssrn.1137864\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study investigates the relevance of network topology for the stability of payment systems in the face of operational shocks. The analysis is based on a large number of simulations of the Austrian large-value payment system ARTIS that quantify the contagion impact of operational shocks at participants’ sites. It uncovers that only few accounts are systemically important. We also find that network indicators at the node level can have some explanatory power, which is higher when the analysis focuses on contagion measured by the number of banks with unsettled payments than on that measured by the value of unsettled payments. The explanatory power is, however, lower than that of the more traditional measures of node activity(value and volume) of payments. At this stage of our research, network indicators at the network level seem to be of limited use for stability analysis.\",\"PeriodicalId\":383948,\"journal\":{\"name\":\"New Institutional Economics\",\"volume\":\"2008 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-05-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"New Institutional Economics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.1137864\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"New Institutional Economics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.1137864","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11

摘要

本研究探讨了网络拓扑在面对操作冲击时对支付系统稳定性的相关性。该分析基于奥地利大额支付系统ARTIS的大量模拟,量化了参与者现场操作冲击的传染影响。它揭示了只有少数账户具有系统重要性。我们还发现,节点层面的网络指标具有一定的解释力,当分析关注以未结算支付银行数量衡量的传染时,其解释力高于以未结算支付价值衡量的传染。然而,其解释力低于更传统的节点活动(价值和数量)支付衡量标准。在我们研究的这个阶段,网络层面的网络指标对于稳定性分析的作用似乎有限。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Systemically Important Accounts, Network Topology and Contagion in Artis
This study investigates the relevance of network topology for the stability of payment systems in the face of operational shocks. The analysis is based on a large number of simulations of the Austrian large-value payment system ARTIS that quantify the contagion impact of operational shocks at participants’ sites. It uncovers that only few accounts are systemically important. We also find that network indicators at the node level can have some explanatory power, which is higher when the analysis focuses on contagion measured by the number of banks with unsettled payments than on that measured by the value of unsettled payments. The explanatory power is, however, lower than that of the more traditional measures of node activity(value and volume) of payments. At this stage of our research, network indicators at the network level seem to be of limited use for stability analysis.
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
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