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This issue focuses on the upcoming renewal of Canada’s inflation-control target. Bank researchers discuss the estimate of the lower bound to policy interest rates in Canada. They also discuss downward nominal wage rigidity and whether its presence warrants considering a higher inflation target. The third article highlights the experience some international central banks have had with unconventional monetary policies. The final article describes monetary policy frameworks in 10 advanced economies.

The author provides a non-technical explanation of the role played by the exchange rate in Canada's inflation-targeting monetary policy.

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.

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

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.

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

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.

Modeling and estimating persistent discrete data can be challenging. In this paper, we use an autoregressive panel probit model where the autocorrelation in the discrete variable is driven by the autocorrelation in the latent variable. In such a non-linear model, the autocorrelation in an unobserved variable results in an intractable likelihood containing high-dimensional integrals.