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ToTEM III is the most recent generation of the Bank of Canada’s main dynamic stochastic general equilibrium model for projection and policy analysis. The model helps Bank staff tell clear and coherent stories about the Canadian economy’s current state and future evolution.

We develop a model with firm heterogeneity in importing and cross-border shopping among consumers. Exchange-rate appreciations lower the cost of imported goods, but also lead to more cross-border shopping; hence, the net impact on aggregate retail prices and sales is ambiguous.

We investigate the welfare consequences of consumer credit regulation in a dynamic, heterogeneous-agent model with endogenous lender market power. Lenders post credit offers and borrowers—some informed and others uninformed—apply for credit. We calibrate the model to match characteristics of the unsecured consumer credit market and use the calibrated model to evaluate interest rate ceilings.

The Bank of Canada’s Merchant Acceptance Survey finds that 96% of small and medium-sized businesses in Canada accepted cash in 2023. Acceptance of debit and credit cards has increased to 89%, and acceptance of digital payments has also increased. However, Canada is far from being a cashless society.

Dealers connect investors who want to buy or sell securities in financial markets. Over time, dealers and investors form trading networks to save time and resources. An emerging field of research investigates how networks form.

This paper looks at the role mortgage brokers play in helping borrowers generate quotes and qualify for credit. We find that, on average, borrowers that engage with a mortgage broker pay lower interest rates. However, in about 15% of cases, borrowers are steered towards longer amortizing mortgages than they would have chosen absent a broker. Since mortgages with longer amortization have higher total interest costs over the entire life of the mortgage, this steering is expensive.

The Governing Council judges that the risks to the Canadian financial system have decreased somewhat relative to the December FSR, but that the overall level of risk remains high. The key risks are similar to those highlighted in December, and emanate primarily from the external environment.

The main objectives of debt management are to raise stable and low-cost funding to meet the government’s financial needs and to maintain a well-functioning market for government securities.

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.

Understanding the size of sectoral links is crucial to predicting the impact of a crisis on the whole economy. We show that statistical learning techniques substantially outperform traditional estimation techniques when measuring large networks of these links.