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Explaining cross-border large-value payment flows: Evidence from TARGET and EURO1 data
Institution:1. Leonard Stern School of Business, New York, University, New York, USA;2. School of Business, University of Alberta, Edmonton, Alberta, Canada;1. BRU-UNIDE and ISCTE-IUL Business School, Edifício II, Av. Prof. Aníbal Bettencourt, 1600-189 Lisboa, Portugal;2. BRU-UNIDE, ISCTE-IUL Business School, and Sociedade Gestora dos Fundos de Pensões do Banco de Portugal, Portugal;1. Department of Electrical Engineering and Automation, Aalto University, Espoo FI-00076 AALTO, Finland;2. Department of Economics, Aalto University, Helsinki FI-00076 AALTO, Finland;3. Department of Energy Technology, Aalto University, Espoo FI-00076 AALTO, Finland;1. Intelligent Fusion Technology, Inc., Germantown, MD 20876, USA;2. Department of Mechanical and Aerospace Engineering, University of Missouri, Columbia, MO 65203, USA
Abstract:We analysed the distribution of the TARGET cross-border interbank payment flows from both a cross-section and a time-series point of view using average daily data for the period 1999–2002. Our findings were, first, that “location matters” in the sense that bilateral payment flows seem to reflect an organisation of interbank trading between countries in which the size of the banking sector, geographic proximity and cultural similarities play a significant role. This result was also confirmed by a model developed drawing on the gravity models literature. Second, we found that the payment traffic in TARGET is strongly affected by technical market deadlines. In addition, such traffic is positively related mainly to the liquidity conditions and to the turnover of the euro area money market (particularly the unsecured overnight segment). Our model also provides a good explanation of the determinants of the interbank payments settled in the EURO 1 system.
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