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Centrality Measurement of the Mexican Large Value Payments System from the Perspective of Multiplex Networks

机译:多重网络视角下的墨西哥大额支付系统的中心度度量

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With the purpose of going further in the understanding of the payment flows among the participants in the large value payment system in Mexico, SPEI, we elaborate payment networks using historical data for a period of seven years. We conceptualize the SPEI large value payment system as a multiplex network and we study it accordingly. Based on transactions performed on a daily basis, we present three layers built on the following types of payments, i.e. transactions sent from participant to participant, from participant to third party and from third party to third party. We observe that those layers exhibit dissimilar topology: the participant to participant layer reveals the behaviour of banks settling their own obligations, which proved to be sensitive to the failure of Lehmann Brothers; the participant to third party payments layer presented stable properties; and the third party to third party layer resulted in an increasingly dense network since the system has been adopted for the settlement of low-value obligations between accountholders. In order to identify relevant players in those layers, we compare some well-known centrality measures and also a novel centrality measure specifically designed for payment systems, SinkRank. The rankings assigned by SinkRank show a low degree of coincidence across layers.
机译:为了进一步了解墨西哥SPEI的大额支付系统的参与者之间的支付流,我们使用七年的历史数据精心制作了支付网络。我们将SPEI大额支付系统概念化为一个多元网络,并据此进行了研究。根据每天执行的交易,我们基于以下类型的付款显示三层,即从参与者到参与者,从参与者到第三方以及从第三方到第三方发送的交易。我们观察到这些层展现出不同的拓扑结构:参与者到参与者层揭示了银行清算其自身义务的行为,这被证明对雷曼兄弟公司的破产很敏感。第三方支付层的参与者呈现出稳定的属性;由于采用了该系统来结算帐户持有人之间的低价值债务,因此第三方到第三方层导致网络越来越密集。为了确定这些层中的相关参与者,我们比较了一些众所周知的集中度度量,也比较了专门为支付系统SinkRank设计的新颖集中度度量。由SinkRank分配的排名在各层之间显示出较低的一致性。

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