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An effective technique governments use to evaluate the desirability of different financing strategies involves stochastic simulation. This approach requires the postulation of the future dynamics of key macroeconomic variables and the use of those variables in the construction of a debt charge distribution for each individual financing strategy.

This paper explores the arguments for and against a common currency for Canada and the United States and attempts to determine whether such an arrangement would offer any significant advantages for Canada compared with the present flexible exchange rate system. The paper first reviews the theoretical arguments advanced in the economics literature in support of fixed and flexible currency arrangements. A discussion of Canada's past experience with the two exchange rate systems follows, after which there is a survey of the empirical evidence published on Canada's current and prospective suitability for some form of fixed currency arrangement with the United States. The final section of the paper examines critically a number of concerns raised about the behaviour of the current flexible exchange rate system.

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.

Since the creation of Bitcoin in 2009, over 2,000 cryptocurrencies have been issued. We evaluate how well a cryptocurrency functions as a payment system.

Because financial and macroeconomic conditions are tightly interconnected, financial stability considerations are an important element of any monetary policy framework. Yet, the circumstances under which it would be appropriate for the Bank to use monetary policy to lean against financial risks need to be more fully specified (Côté 2014).

Deputy Governor Lawrence Schembri talks about changes to the labour market, and how the pandemic affected Canadian workers. He also discusses how the Bank is adapting labour market analysis tools to help guide monetary policy decisions that will support a more inclusive recovery.

We show that issuing a deposit-like central bank digital currency (CBDC) with a proper interest rate would encourage banks to pay higher interest to keep their customers. Banks would then attract more deposits and offer more loans. Hence, a CBDC would not necessarily crowd out private banking.

Can artificial intelligence (AI) think and act like a cash manager? In this paper we explore how generative AI agents can help manage liquidity, prioritize payments and optimize efficiency in real-time gross settlement systems.

Artificial neural networks (ANN) are employed for high-frequency Canada/U.S. dollar exchange rate forecasting. ANN outperform random walk and linear models in a number of recursive out-of- sample forecasts.

This note examines the merits of monetary policy adjustments in response to financial stability concerns, taking into account changes in the state of knowledge since the renewal of the inflation-targeting agreement in 2011. A key financial system vulnerability in Canada is elevated household indebtedness: as more and more households are nearing their debt-capacity limits, the likelihood and severity of a large negative correction in housing markets are also increasing.