Nellie Zhang

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Changes in Payment Timing in Canada’s Large Value Transfer System

Staff Working Paper 2015-20 Nellie Zhang
This paper uncovers trends in payment timing in Canada’s Large Value Transfer System (LVTS) from 2003 to 2011. Descriptive analysis shows that LVTS payment activity has not been peaking in the late afternoon since 2008, and the improvement was most significant in 2009.
Content Type(s): Staff Working Papers Topic(s): Payment clearing and settlement systems JEL Code(s): E, E5, E50, G, G2, G20

Estimating the Demand for Settlement Balances in the Canadian Large Value Transfer System

Staff Working Paper 2012-15 Nellie Zhang
This paper applies a static model of an interest rate corridor to the Canadian data, and estimates the aggregate demand for central-bank settlement balances in the Large Value Transfer System (LVTS).
February 17, 2011

Payment Networks: A Review of Recent Research

In this article, the authors review work done at the Bank of Canada and at other central banks with the relatively new application of network analysis to the study of payments systems.

Losses from Simulated Defaults in Canada's Large Value Transfer System

Staff Discussion Paper 2010-14 Nellie Zhang, Tom Hossfeld
The Large Value Transfer System (LVTS) loss-sharing mechanism was designed to ensure that, in the event of a one-participant default, the collateral pledged by direct members of the system would be sufficient to cover the largest possible net debit position of a defaulting participant. However, the situation may not hold if the indirect effects of the defaults are taken into consideration, or if two participants default during the same payment cycle.

Estimating the Structure of the Payment Network in the LVTS: An Application of Estimating Communities in Network Data

Staff Working Paper 2010-13 James Chapman, Nellie Zhang
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.

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