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The financial system makes an important contribution to the welfare of all Canadians. The ability of households and firms to confidently hold and transfer financial assets is one of the fundamental building blocks of the Canadian economy.

Models for macroeconomic forecasts do not usually take into account the risk of a crisis—that is, a sudden large decline in gross domestic product (GDP). However, policy-makers worry about such GDP tail risk because of its large social and economic costs.

We examine the optimal amount of user anonymity in a central bank digital currency in the context of bank lending. Anonymity, defined as the lender’s inability to discern an entrepreneur’s actions that enable fund diversion, influences the choice of payment instrument due to its impact on a bank’s lending decisions.

How can we assess the quality of a forecast? We propose a new benchmark to evaluate forecasts of temporally aggregated series and show that the real price of oil is more difficult to predict than we thought.

This note examines how monetary policy responses to shelter inflation affect both the overall economy and different households. We find that the aggregate macroeconomic effects of responding to shelter inflation are modest, whereas the redistributive consequences across households are substantially larger.

We estimate a continuous-time model with stochastic volatility and dynamic crash probability for the S&P 500 index and find that market illiquidity dominates other factors in explaining the stock market crash risk. While the crash probability is time-varying, its dynamic depends only weakly on return variance once we include market illiquidity as an economic variable in the model.

In this note, we present the Commodities Factor Model (CFM), a dynamic factor model for a large cross-section of energy and non-energy commodity prices. The model decomposes price changes in commodities into a common “global” component, a “block” component confined to subgroups of economically related commodities and an idiosyncratic price shock component.

In Monitoring Shadow Banking in Canada: A Hybrid Approach, Bo Young Chang, Michael Januska, Gitanjali Kumar and André Usche discuss how lending that occurs outside the traditional banking system provides benefits to the economy but must be monitored carefully for potential financial sector vulnerabilities. They describe how the Bank defines and measures shadow banking and how it assesses vulnerabilities in the sector, using an approach that examines both markets and entities.

Technology, risk tolerance and regulation may influence dealers to reduce their trading as principals (using their own balance sheets for sales and purchases of securities) in favour of agency trading (matching client trades).