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We present a tool for creating density nowcasts for Canadian real GDP growth. We demonstrate that the combined densities are a reliable and accurate tool for assessing the state of the economy and risks to the outlook.

I provide evidence that portfolio equity inflows can have expansionary effects on GDP and inflation if not offset by monetary policy. I use a shift-share instrument to estimate equity inflows based on plausibly exogenous timing of inflows into mutual funds with heterogeneous country portfolios.

In a speech to the Vancouver Board of Trade, Governor Mark Carney discusses the fundamentals of the Canadian residential real estate market, the international context, and the implications for monetary policy.

What is the role of central banks in financial stability? How has this role changed in recent years? Bank researchers share their insights on this matter and provide an overview of recent changes the Bank has made to its Emergency Lending Assistance Policy. Researchers also provide a history of four major commodity supercycles, dating back to the early 1900s. Finally, there is discussion about structural reforms in emerging-market economies, such as China, and how these reforms influence potential growth.

How do Canadians pay their bills? 2019 survey data collected from over 4,000 Canadian consumers show how people’s bill payment choices vary with consumer characteristics and types of bills. The data also reveal that many consumers feel limited in their choices, which suggests that preferences of billers might play an important role as well.

This section of the Financial System Review examines the recent performance of the Canadian financial system and the factors, both domestic and international, that are influencing it.

This article reviews selected papers that use machine learning for economics research and policy analysis. Our review highlights when machine learning is used in economics, the commonly preferred models and how those models are used.

We demonstrate the usefulness of payment systems data and machine learning models for macroeconomic predictions and provide a set of econometric tools to overcome associated challenges.

The uncertainty regarding inflation that is observed in density forecasts of households and professionals helps macroeconomists understand the formation mechanism of inflation expectations. Shocks to inflation take time to be perceived by all agents in the economy, and such rigidity is lower in a high-inflation environment.

We use detailed consumer credit data to investigate the impact of the 2016 Fort McMurray wildfire, the costliest wildfire disaster in Canadian history, on consumers’ financial stress. We focus on the arrears of insured mortgages because of their important implications for financial institutions and insurers’ business risk and relevant management practices.