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2191 Results

Variance Premium, Downside Risk and Expected Stock Returns

We decompose total variance into its bad and good components and measure the premia associated with their fluctuations using stock and option data from a large cross-section of firms.

We Didn’t Start the Fire: Effects of a Natural Disaster on Consumers’ Financial Distress

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.

Firm Heterogeneity, Technological Adoption, and Urbanization: Theory and Measurement

Staff working paper 2017-27 Alex Chernoff
This paper develops a model of firm heterogeneity, technological adoption, and urbanization. In the model, welfare is measured by household real income, and urbanization is measured by population density. I use the model to derive statistics that measure the effect of a new technology on productivity, welfare, and urbanization.

Quantitative Easing in a Small Open Economy: An International Portfolio Balancing Approach

Staff working paper 2016-55 Serdar Kabaca
This paper studies the effects of quantitative easing (QE) in a small open economy dynamic stochastic general-equilibrium model with international portfolio balancing. Portfolios are classified as imperfectly substitutable short-term and long-term subportfolios, each including domestic and foreign bonds.

Does US or Canadian Macro News Drive Canadian Bond Yields?

Staff analytical note 2018-38 Bruno Feunou, Rodrigo Sekkel, Morvan Nongni-Donfack
We show that a large share of low-frequency (quarterly) movements in Canadian government bond yields can be explained by macroeconomic news, even though high-frequency (daily) changes are driven by other shocks. Furthermore, we show that US macro news—not domestic news— explains most of the quarterly variation in Canadian bond yields.

Macroeconomic Predictions Using Payments Data and Machine Learning

Staff working paper 2022-10 James Chapman, Ajit Desai
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.

Conduct of Monetary Policy under Housing Market Imbalances

Staff analytical paper 2026-53 Amina Enkhbold, Serdar Kabaca
Canadian housing imbalances have elevated shelter inflation as a driver of CPI, fueled by high house prices, mortgage costs, rents, supply constraints, and leverage. This note uses a model with housing supply and extrapolative expectations to assess whether monetary policy should incorporate or look through shelter inflation under demand and supply shocks.
December 17, 2000

Dynamic General-Equilibrium Models and Why the Bank of Canada is Interested in Them

Dynamic general-equilibrium models (DGEMs) are being increasingly used in macroeconomic research. In this article, the author describes the main features of these models and outlines their contribution to economic research performed at the Bank of Canada. He notes that the basic principle of DGEMs is that the modelling of economic activity, even on a scale as large as the economy of a country, should start with a series of microeconomic problems (at the scale of individuals), which, once resolved, are aggregated to represent the macroeconomic reality described by the model.
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