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Across several dimensions of lender of last resort policy, I highlight broad changes that have occurred since the 2008–09 global financial crisis and discuss some of the key challenges, choices and considerations facing the designers of central bank liquidity tools today.

At the Pittsburgh Summit in 2009, G20 countries announced their commitment to clear all standardized over-the-counter (OTC) derivatives through central counterparties (CCPs). Since then, CCPs have become increasingly important and there has been an extensive program of regulatory enhancements to both them and OTC derivatives markets.

In 1991, Canada became the second country to adopt an inflation target as a central pillar of its monetary policy framework. The regime has proven much more successful than initially expected, both in achieving price stability and in stabilizing the real economy against a wide range of shocks.

We provide empirical evidence of effects to the aggregate economy from surprises about financial intermediaries’ net worth based on a high-frequency identification strategy. We estimate that news of a 1% decline in intermediaries’ net worth leads to a 0.2%–0.4% decrease in the market value of nonfinancial firms.

The Bank of Canada uses several short-term forecasting models for the monitoring of key foreign economies - the United States, the euro area, Japan and China. The design of the forecasting models used for each region is influenced by the level of detail required, as well as the timeliness and volatility of data. Forecasts from different models are typically combined to mitigate model uncertainty, and judgment is applied to the model forecasts to incorporate information that is not directly reflected in the most recent indicators.

A database of historical Government of Canada zero-coupon yield curves developed at the Bank of Canada is introduced in this article, which also includes an initial statistical analysis of the behaviour and evolution of the zero-coupon interest (spot) rates over the full period and two distinct subperiods. Specific areas of interest include the evolution of the levels of key interest rates and yield-curve measures over the sample as well as daily changes in the key interest rates and the yield-curve measures; the identification of a relatively small number of factors that drove the evolution of the yield curve; and the total returns that would have been realized by holding bonds of different maturities for a given holding period.

Assessing insolvency dynamics is essential for evaluating the financial health of non-financial corporations and mitigating macroeconomic and financial stability risks. This study leverages a newly created Statistics Canada dataset linking insolvency records with firm-level financial data to develop a robust framework for monitoring insolvency risk

This paper analyzes cross-border cryptocurrency flows, focusing on Bitcoin and four major stablecoins. Using data for 162 countries, we identify the key determinants, including responses to weak economic conditions and demand for remittances. A COVID-19 case study supports these findings and emphasizes the role of cryptocurrencies in global finance.

With increasing levels of household debt in recent years, the number of households that may be vulnerable to a negative economic shock is rising as well. Decisions made by both the debtor and the creditor can contribute to insolvency. This article presents some stylized facts about insolvency in Canada’s household sector and analyzes the role of creditors in insolvencies. The average debt of an individual filing for bankruptcy is more than 1.5 times that of an average Canadian household; bankruptcy filers tend to be unemployed or in low-wage jobs, and are typically renters. The article reports that banks that approve more loans per branch, which is interpreted as less-intensive use of soft information (such as the loan officer’s assessment of the applicant’s character), experience more client bankruptcies. This finding has important policy implications, because financial institutions that do not use soft information risk further deterioration in their lending portfolios.