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Моделирование многостороннего взаимозачета платежей

Моделирование многостороннего взаимозачета платежей

Abstract

Рассмотрена проблема сокращения валового объема платежей между участниками расчетов за счет взаимозачета (клиринга). Для описания множества платежей использованы матричная и графовая модели. Найдены основные особенности этих моделей для различных ситуаций, встречающихся в реальных платежных системах. С использованием моделирования исследована эффективность взаимозачета для различных исходных матриц валовых платежей. Определены факторы, влияющие на эффективность взаимозачета

This article is devoted to the problem of reducing gross payments between settlement participants by clearing or netting arrangements. Matrix and graph models are developed and used to describe set of payments. The main features of these models which can be found in actual payment systems are analyzed in this work. Using simulation modeling it is investigated the efficiency of the clearing process for various initial matrixes of gross payments

Keywords

МНОГОСТОРОННИЙ ВЗАИМОЗАЧЕТ,MULTILATERAL CLEARING,КЛИРИНГ,ПЛАТЕЖНЫЕ СИСТЕМЫ,PAYMENT SYSTEMS,МОДЕЛИРОВАНИЕ,SIMULATION,NETTING

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold