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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.

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.

The premium on “on-the-run” Treasuries is an anomaly. I explain it using a model in which primary dealers hold inventories of Treasuries. I use the model to analyze the effects of granting access to central bank facilities.

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.

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.

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 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.

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?