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

Bernardo Bravo-Benitez, Biliana Alexandrova-Kabadjova () and Serafin Martinez-Jaramillo

Computational Economics, 2016, vol. 47, issue 1, 19-47

Abstract: 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. Copyright Springer Science+Business Media New York 2016

Keywords: Payment systems; Financial stability; Network modeling; G21; G28; C6; C8 (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (5)

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DOI: 10.1007/s10614-014-9477-0

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