Modernizing Canada's wholesale payments system to Lynx from the Large Value Transfer System (LVTS) brings two key changes: (1) the settlement model shifts from a hybrid system that combined components of both real-time gross settlement (RTGS) and deferred net settlement (DNS) to an RTGS system;...

Modernizing Canada's wholesale payments system to Lynx from the Large Value Transfer System (LVTS) brings two key changes: (1) the settlement model shifts from a hybrid system that combined components of both real-time gross settlement (RTGS) and deferred net settlement (DNS) to an RTGS system;...

Using detailed data from Canada's new high-value payment system (HVPS), we show how participants of the system save liquidity by exploiting the new gridlock resolution arrangement. These observed behaviors are consistent with the equilibrium of a "gridlock game" that captures the key incentives...

In this paper, we develop a discrete choice framework to quantify the economic benefits of payments modernization in Canada. Focusing on Canada's large-value transfer system (LVTS), we first estimate participants' preferences for liquidity cost, payment safety and the network effect by...

In this paper, we study how the impact of a cyber-attack that paralyzes one or multiple banks' ability to send payments would transmit to other banks through the Canadian wholesale payments system. Based on historical payment data, we simulate a wide range of scenarios and evaluate the total...

Canada currently has two core payment systems for processing funds transfers between financial institutions: the Large Value Transfer System (LVTS) and the Automated Clearing Settlement System (ACSS). These systems will be replaced over the next years by three new systems: Lynx, the Settlement...

We propose a flexible machine learning (ML) framework for real-time transaction monitoring in high-value payment systems (HVPS), which are a central piece of a country's financial infrastructure. This framework can be used by system operators and overseers to detect anomalous transactions,...

We propose a flexible machine learning (ML) framework for real-time transaction monitoring in high-value payment systems (HVPS), which are a central piece of a country's financial infrastructure. This framework can be used by system operators and overseers to detect anomalous transactions,...

Using detailed data from Canada's new high-value payment system (HVPS), we show how participants of the system save liquidity by exploiting the new gridlock resolution arrangement. These observed behaviors are consistent with the equilibrium of a "gridlock game" that captures the key incentives...

We study the unintended effects of the Home Affordable Refinance Program (HARP) on mortgage borrowers. Originally designed to help financially distressed borrowers refinance after the 2008-09 global financial crisis, HARP inadvertently amplified the market power of incumbent lenders by...