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Strong population growth, low interest rates and robust investor demand drove an expansion in Toronto’s condo market over the past decade. But times have changed. Toronto’s condos are no longer providing substantial returns for short-term investors because population growth has eased and interest rates have risen. This is challenging the business models of condo builders.

We quantify the effects of large-scale stock purchases by a central bank and compare these to bond purchases. We find that the central bank’s equity purchases would lower the risk and term premiums on stocks and long-term bonds, respectively, and thereby stimulate economic activity.

This paper shows that regional disparities in house price growth are more pronounced during house price busts than during booms. To explain this observation we construct a two-region currency union model incorporating a housing sector and extrapolative belief updating regarding house prices. To solve the model, we propose a new method that efficiently handles extrapolative belief updating in a wide class of structural models.

We analyze Canadian data from the Bank of Canada’s Business Leaders’ Pulse, examining firms’ sales growth expectations. We find that expected growth predicts outcomes, uncertainty influences forecast errors and revisions, and firms with weak past performance anticipate and experience weaker future growth. These results highlight the survey’s value for understanding business expectations.

This paper shows that survey expectations can be used to uncover how households subjectively think about inflation and unemployment dynamics jointly. The commonly documented "stagflation view", namely the households' tendency to associate inflation with a worse labor market, implies amplified impacts of supply shocks and dampened ones of demand shocks.

We produce forecasts for four risk scenarios to consider their usefulness for monitoring the Canadian economy. We find a high-oil-price scenario benefits the economy, a US recession induces a slowdown, a tight labor market leads to price increases, and a restrictive monetary policy scenario increases the unemployment rate while lowering the inflation rate.

We identify and quantify fiscal news shocks, compiling events (2001–2023) that altered the expected path of U.S. defense expenditure. For each event, we estimate market-implied shifts in expected spending. A shift-share analysis yields a two-year, metropolitan statistical area–level GDP multiplier of approximately 1 for U.S. military build-ups.

We identify two channels that affect the relationship between inflation and unemployment. First, inflation lowers wages because unemployed suffer more from inflation than employed, generating a positive relationship. Second, inflation increases firms’ financing costs, generating a negative relationship. Improvements in firm financing conditions can induce the relationship to switch signs.

This paper studies how financial shocks shape the distribution of output growth by introducing a quantile-augmented vector autoregression (QAVAR), which integrates quantile regressions into a structural VAR framework. The QAVAR preserves standard shock identification while delivering flexible, nonparametric forecasts of conditional moments and tail risk measures for gross domestic product.

Our understanding of news shocks is, to a large extent, based on studies that focus empirically on short-run news. This paper brings new insights by analyzing the effects of giant commodity discoveries, which typically materialize over the longer run.