The stability of the Canadian financial system, as well as its ability to support the Canadian economy, depends on the ability of financial institutions to absorb and manage major shocks. This is especially true for large banks, which perform services essential to the Canadian economy.
In this note, we use firm-level data from Statistics Canada’s Quarterly Survey of Financial Statements to construct two sets of aggregate vulnerability indicators for the non-financial corporate sector in Canada.
Using new regulatory data on residential secured lending from Canadian banks, we assess the growth rate of home equity lines of credit (HELOCs).
This note presents the updated estimates of potential output growth for the global economy through 2021. Global potential output is expected to grow by 3.3 per cent per year over the projection horizon.
We use a recently developed model and loan-level micro data to decompose movements in housing resales since 2015. We find that fundamental factors, namely housing affordability and full-time employment, have had offsetting effects on resales over our study period.
This note provides an update on 九州体育平台 staff’s assessment of the Canadian neutral rate. The neutral rate is the policy rate needed to keep output at its potential level and inflation at target once the effects of any cyclical shocks have dissipated. This medium- to long-run concept serves as a benchmark for gauging the degree of monetary stimulus provided by a given policy setting.
Potential output is expected to grow on average at 1.8 per cent over 2019–21 and at 1.9 per cent in 2022. While the contribution of trend labour input to potential output growth is expected to decrease between 2019 and 2022, the contribution of trend labour productivity is projected to increase.
We create a hypothetical scenario to study the role bond funds play in intensifying shocks to the financial system. Using data from 2018 and 2007, we find that bond funds play a larger role now than they did in the past.
In recent years, the governments of Ontario and British Columbia have imposed taxes on purchases by non-Canadian residents of residential properties in certain jurisdictions.
How do Canadian corporate bond mutual funds meet investor redemptions? We revisit this question using decision tree and random forest algorithms. We uncover new patterns in the decisions made by fund managers: the interaction between a larger, market-wide term spread and relatively less-liquid holdings increases the probability that a fund manager will sell less-liquid assets (corporate bonds) to meet redemptions. The evidence also shows that machine learning algorithms can extract new knowledge that is not apparent using a classical linear modelling approach.