2006
DOI: 10.1016/j.jbankfin.2005.09.011
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Explaining cross-border large-value payment flows: Evidence from TARGET and EURO1 data

Abstract: Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in… Show more

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Cited by 24 publications
(23 citation statements)
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“…The observations of the presence of large circular net flows between TARGET countries add to the idea of Rosati and Secola (2005) that significant and stable payment patterns between countries could entail dependencies resulting in possible channels of contagion of liquidity tensions. Further work could aim at identifying the most important, circular flows in the (international) system and at investigating the implications of structural flows on the stability of the payment system.…”
Section: Discussionmentioning
confidence: 68%
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“…The observations of the presence of large circular net flows between TARGET countries add to the idea of Rosati and Secola (2005) that significant and stable payment patterns between countries could entail dependencies resulting in possible channels of contagion of liquidity tensions. Further work could aim at identifying the most important, circular flows in the (international) system and at investigating the implications of structural flows on the stability of the payment system.…”
Section: Discussionmentioning
confidence: 68%
“…When comparing this to classical equilibrium networks, the numbers indicate relatively high correlations in the form of clustering exist on a local level. As in Soramäki, et al (2007) the number of nodes with a clustering coefficient 0, however, is very high: 49% after one hour, 27% after one day. These can mostly be attributed to nodes with only one or just a few links, because the probability of at least a single link across neighbours increases rapidly with the number of links (more precise: the number of combinations of neighbours increases with the number of links squared).…”
mentioning
confidence: 95%
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“…Frequently cited papers prepared by business consultancies are EFMA (2005 and. Recent research papers analyzing issues related to European payment systems are Humphrey et al (2006), Bolt and Humphrey (2005), and Rosati and Secola (2006), for example. 2 Other papers analyzing spatial models of bank competition are Wong and Chan (1993), Barros (1999) or Toolsema (2004), for example.…”
Section: Introductionmentioning
confidence: 99%