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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.

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.

We introduce a model to detect periods of extrapolative house price expectations across Canadian cities. The House Price Exuberance Indicator can be updated on a quarterly basis to support the Bank of Canada’s broader assessment of housing market imbalances.

We analyze factors that may explain consistent answers to questions about inflation expectations in the Canadian Survey of Consumer Expectations. We also compare the inflation forecasts of consumers with consistent responses with those of professional forecasters.

As the title of the conference suggests, we have seen many boom-and-bust cycles in the commodity sector. This raises one obvious and central question: How can we avoid them in the future?

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.

Central banks are still defining their approach to financial stability and are at an early stage in the development of useful models. The Bank of Canada's 2007 economic conference was organized to stimulate progress in the development of financial-stability frameworks. Among the highlights reported here are the discussions centred around three proposed frameworks: a contingent-claims-analysis framework, a semi-structural framework, and structural financial-stability models. Participants also reported on their experiences with stress-testing under the International Monetary Fund's Financial Sector Assessment Program and discussed the implications for financial stability of linkages among payment, clearing, and settlement systems.

We find that the rise in Government of Canada debt issuance correlates to growing participation of hedge funds in bond auctions since 2020. This increased participation supports the cost-effective distribution of Canada’s debt, but it also represents a potential vulnerability because hedge funds have a greater flight risk than other investor types.

Consumers, businesses and banks make millions of payments each day using a variety of instruments, such as debit cards, cheques and wires. Canada is currently developing three new systems to process these transactions: Lynx, Settlement Optimization Engine (SOE) and Real-Time Rail (RTR).