This paper develops and simulates a model of the emergence of networks in an interbank, RTGS payment system. A number of banks, faced with random streams of payment orders, choose whether to link directly to the payment system, or to use a correspondent bank. Settling payments directly on the system imposes liquidity costs which depend on the maximum liquidity overdraft incurred during the day. On the other hand, using a correspondent entails paying a flat fee, charged by the correspondent to recoup liquidity costs and to extract a profit. We specify a protocol whereby one bank in each period can revisit its choice whether to link directly to the system, or to become clients of other banks, thus generating a dynamic client-correspondent network. We simulate this protocol, observing the emergence of different network structures. The liquidity pricing regime chosen by a central bank is found to affect the tiering process and the network structures it produces. A calibration exercise on data from the UK CHAPS system suggests that the model is able to generate realistic predictions, i.e., a network topology similar to that observed in reality, driven solely by the underlying pattern of payments and the structure of liquidity costs.
Mark Adams, M.G. (2010). Liquidity Costs and Tiering in Large-Value Payment Systems. In Liquidity Costs and Tiering in Large-Value Payment Systems.
Liquidity Costs and Tiering in Large-Value Payment Systems
Simone Giansante
2010-01-01
Abstract
This paper develops and simulates a model of the emergence of networks in an interbank, RTGS payment system. A number of banks, faced with random streams of payment orders, choose whether to link directly to the payment system, or to use a correspondent bank. Settling payments directly on the system imposes liquidity costs which depend on the maximum liquidity overdraft incurred during the day. On the other hand, using a correspondent entails paying a flat fee, charged by the correspondent to recoup liquidity costs and to extract a profit. We specify a protocol whereby one bank in each period can revisit its choice whether to link directly to the system, or to become clients of other banks, thus generating a dynamic client-correspondent network. We simulate this protocol, observing the emergence of different network structures. The liquidity pricing regime chosen by a central bank is found to affect the tiering process and the network structures it produces. A calibration exercise on data from the UK CHAPS system suggests that the model is able to generate realistic predictions, i.e., a network topology similar to that observed in reality, driven solely by the underlying pattern of payments and the structure of liquidity costs.File | Dimensione | Formato | |
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