Arbeitspapier

Estimating the structure of the payment network in the LVTS: An application of estimating communities in network data

In the Canadian large value payment system an important goal is to understand how liquidity is transferred through the system and hence how efficient the system is in settling payments. Understanding the structure of the underlying network of relationships between participants in the payment system is a crucial step in achieving the goal. The set of nodes in any given network can be partitioned into a number of groups (or 'communities'). Usually, the partition is not directly observable and must be inferred from the observed data of interaction flows between all nodes. In this paper we use the statistical model of éCopiéc, Jackson, and Kirman (2007) to estimate the most likely partition in the network of business relationships in the LVTS. Specifically, we estimate from the LVTS transactions data different 'communities' formed by the direct participants in the system. Using various measures of transaction intensity, we uncover communities of participants that are based on both transaction amount and their physical locations. More importantly these communities were not easily discernible in previous studies of LVTS data since previous studies did not take into account the network (or transitive) aspects of the data.

Sprache
Englisch

Erschienen in
Series: Bank of Canada Working Paper ; No. 2010-13

Klassifikation
Wirtschaft
Bayesian Analysis: General
Network Formation and Analysis: Theory
Financial Institutions and Services: General
Thema
Payment, clearing, and settlement systems
financial stability
Zahlungsverkehr
Gesamtwirtschaftliche Liquidität
Verrechnungsverkehr
Kanada

Ereignis
Geistige Schöpfung
(wer)
Chapman, James T. E.
Zhang, Yinan
Ereignis
Veröffentlichung
(wer)
Bank of Canada
(wo)
Ottawa
(wann)
2010

DOI
doi:10.34989/swp-2010-13
Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Chapman, James T. E.
  • Zhang, Yinan
  • Bank of Canada

Entstanden

  • 2010

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