Search

Donald Gow had a great interest in public administration and in budgetary reform in the federal government.1 He was one in a long line of Queen's professors who have focused on various budgetary matters at the federal level.

Senior Deputy Governor Carolyn Wilkins calls for the public and private sectors to work closely together to realize fintech’s full benefits and minimize its risks.

Deputy Governor Lawrence Schembri discusses the Bank’s latest interest rate announcement and the behaviour of inflation in Canada.

We build a network formation game of firms with trade flows to study the adoption and usage of a new digital currency as an alternative to correspondent banking.

This paper studies the welfare effects of different credit arrangements and how these effects depend on the trading mechanism and inflation. In a competitive market, a deviation from the Friedman rule is always sub-optimal. Moreover, credit arrangements can be welfare-reducing, because increased consumption by credit users will drive up the price level so that money users have to reduce consumption when facing a binding liquidity restraint.

The Canadian Debt Strategy Model helps debt managers determine their optimal financing strategy. The model’s code and documentation are available to the public.

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.

Using the quantum Monte Carlo algorithm, we study whether quantum computing can improve the run time of economic applications and challenges in doing so. We apply the algorithm to two models: a stress testing bank model and a DSGE model solved with deep learning. We also present innovations in the algorithm and benchmark it to classical Monte Carlo.

The investment of foreign exchange reserves or other asset portfolios requires an assessment of the credit quality of investment counterparties. Traditionally, foreign exchange reserve and asset managers have relied on credit rating agencies (CRAs) as the main source for credit assessments.

The authors apply existing inflation models that have worked well in industrialized countries to Mexico, an emerging market that has recently moved to adopt an inflation-targeting framework for monetary policy. They compare the performance of these models with a mark-up model that has been used extensively to analyze inflation in Mexico.