Search

Content Types

Subjects

Authors

Research Themes

JEL Codes

Sources

Published After

Published Before

535 Results

April 13, 2007

The Large-Value Payments System: Insights from Selected Bank of Canada Research

Given the Bank of Canada's strong interest in the safe and efficient operation of major clearing and settlement systems, the Bank maintains a rigorous research agenda as a means of informing payments system policy and oversight. In this article, Arjani and Engert review recent research undertaken by Bank staff concerning the risk and efficiency of the Large Value Transfer System (LVTS). Based on the findings from this research, the authors conclude that the design of the LVTS strikes an effective balance between risk and efficiency. The article also demonstrates the increased use of simulation analysis as a tool for conducting payments system research. A brief summary of the Bank's oversight strategy for systemically important payments systems is also provided. Goals for future research are noted as well, including modelling of participant behaviour and continued external collaboration with other researchers.

The Side Effects of Safe Asset Creation

Staff working paper 2021-34 Sushant Acharya, Keshav Dogra
The secular decline in real interest rates has created a challenge for monetary policy, now confronting the zero lower bound more often. An increase in the supply of safe assets reduces downward pressure on the natural interest rate. This allows monetary policy to reach price stability and full employment, but not without cost—permanently lower investment.

Is the Discretionary Income Effect of Oil Price Shocks a Hoax?

Staff working paper 2017-50 Christiane Baumeister, Lutz Kilian, Xiaoqing Zhou
The transmission of oil price shocks has been a question of central interest in macroeconomics since the 1970s. There has been renewed interest in this question after the large and persistent fall in the real price of oil in 2014–16. In the context of this debate, Ramey (2017) makes the striking claim that the existing literature on the transmission of oil price shocks is fundamentally confused about the question of how to quantify the effect of oil price shocks.

Are Counterparty Arrangements in Reinsurance a Threat to Financial Stability?

Staff working paper 2016-39 Matt Davison, Darrell Leadbetter, Bin Lu, Jane Voll
Interconnectedness among insurers and reinsurers at a global level is not well understood and may pose a significant risk to the sector, with implications for the macroeconomy. Models of the complex interactions among reinsurers and with other participants in the financial system and the real economy are at a very early stage of development.

Grasping De(centralized) Fi(nance) Through the Lens of Economic Theory

Staff working paper 2022-43 Jonathan Chiu, Charles M. Kahn, Thorsten Koeppl
We analyze the value proposition and limitations of decentralized finance (DeFi). Based on a distributed ledger and smart contracts, DeFi can guarantee the execution of financial contracts, potentially lowering the costs of intermediation and improving financial inclusion.

PayTech and the D(ata) N(etwork) A(ctivities) of BigTech Platforms

Staff working paper 2022-35 Jonathan Chiu, Thorsten Koeppl
Why do BigTech platforms introduce payment services? We explore this using a model in which a monopoly platform faces a trade-off between the costs associated with privacy concerns and the revenue from data services. We then analyze the feedback effects between data and payments.

COVID-19’s impact on the financial health of Canadian businesses: An initial assessment

Staff analytical note 2021-8 Timothy Grieder, Mikael Khan, Juan Ortega, Callie Symmers
Despite COVID-19 challenges, bold policy measures in Canada have helped businesses manage cash flow pressures and kept insolvency filings low. But the impact of the pandemic has been uneven, and the financial health of some firms may further deteriorate over the next year.

Sample Calibration of the Online CFM Survey

Technical report No. 118 Marie-Hélène Felt, David Laferrière
The Canadian Financial Monitor (CFM) survey uses non-probability sampling for data collection, so selection bias is likely. We outline methods for obtaining survey weights and discuss the conditions necessary for these weights to eliminate selection bias. We obtain calibration weights for the 2018 and 2019 online CFM samples.
Go To Page