Monetary and financial indicators
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Characterizing the Canadian Financial Cycle with Frequency Filtering Approaches
In this note, I use two multivariate frequency filtering approaches to characterize the Canadian financial cycle by capturing fluctuations in the underlying variables with respect to a long-term trend. The first approach is a dynamically weighted composite, and the second is a stochastic cycle model. -
Measuring Vulnerabilities in the Non-Financial Corporate Sector Using Industry- and Firm-Level Data
Aggregate non-financial corporate debt-to-GDP has been growing rapidly in recent years and is at an all-time high. This growth began in 2011 and accelerated as the oil price shock affected the Canadian economy. -
Asymmetric Risks to the Economic Outlook Arising from Financial System Vulnerabilities
When financial system vulnerabilities are elevated, they can give rise to asymmetric risks to the economic outlook. To illustrate this, I consider the economic outlook presented in the Bank of Canada’s October 2017 Monetary Policy Report in the context of two key financial system vulnerabilities: high levels of household indebtedness and housing market imbalances.