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Freedman and Engert focus on the changing pattern of lending and borrowing in Canada in the past thirty to forty years, including the types of financial instruments used and the relative roles of financial institutions and financial markets. They examine how borrowing mechanisms have changed over time and consider the challenges facing the Canadian financial sector, including whether our financial markets are in danger of disappearing because of the size and pre-eminence of U.S. financial markets. Some of the trends examined here include syndicated lending, securitization, and credit derivatives, a form of financial engineering that has become increasingly important in the last few years. They also study bond and equity markets to determine whether Canadian capital markets have been hollowed out or abandoned by Canadian firms and conclude that the data do not provide much support for that view.

Rising consumer prices may reflect shifts by consumers to new higher-priced products, mostly for durable and semi-durable goods. I apply Bils’ (2009) methodology to newly available Canadian consumer price data for non-shelter goods and services to estimate how price increases can be divided between quality growth and price inflation.

This paper introduces a new methodology to date systemic financial stress events in a transparent, objective and reproducible way. The financial cycle is captured by a monthly country-specific financial stress index.

This paper proposes a theoretical framework to analyze the relationship between credit shocks, firm defaults and volatility, and to study the impact of credit shocks on business cycle dynamics.

How should central banks design monetary policy in stable times and during recessions? We run a horse race between five monetary policy frameworks in an experimental laboratory to assess how well the different approaches can manage the public’s expectations and stabilize the economy.

We propose a macroeconomic model with a nonlinear Phillips curve that has a flat slope when inflationary pressures are subdued and steepens when inflationary pressures are elevated. Our model can generate more sizable inflation surges due to cost-push and demand shocks than a standard linearized model when inflation is high.

Our layered machine learning framework can enhance real-time transaction monitoring in high-value payment systems, which are a central piece of a country’s financial infrastructure. When tested on data from Canadian payment systems, it demonstrated potential for accurately identifying anomalous transactions. This framework could help improve cyber and operational resilience of payment systems.

This article draws on theory and empirical evidence to examine a number of factors behind movements in Canadian house prices. It begins with an overview of the movements in house prices in Canada, using regional data to highlight factors that influence prices over the long run. It then turns to the central theme, that there are medium-run movements in prices not accounted for by long-run factors. Drawing on recent Bank of Canada research, the article discusses several factors behind these medium-run movements, including interest rates, expected price appreciation and market liquidity. The article concludes by identifying areas for future research that would further our understanding of fluctuations in house prices.

Theory and empirical evidence suggest that the term structure of interest rates reflects risk premiums as well as market expectations about future inflation and real interest rates. We propose an approach to extracting such premiums and expectations by exploiting both the comovements among interest rates across the yield curve and between two countries, Canada and […]

Inventory investment is an important component of the Canadian business cycle. Despite its small average size – less than 1 per cent of output – it exhibits volatile procyclical fluctuations, accounting for almost one-third of output variance.