Search

This note provides an update on Bank of Canada 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.

Could Canadian banks continue to meet their regulatory liquidity requirements after the introduction of a cash-like retail central bank digital currency (CBDC)? We conduct a hypothetical exercise to estimate how a CBDC could affect bank liquidity by increasing the run-off rates of transactional retail deposits under four increasingly severe scenarios.

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.

There appears to be a disconnect between the importance of the zero bound on nominal interest rates in the real-world and predictions from quantitative DSGE models. Recent economic events have reinforced the relevance of the zero bound for monetary policy whereas quantitative models suggest that the zero bound does not constrain (optimal) monetary policy.

The author constructs a formal analytic framework to simulate the impact of various economic shocks on the household debt-service ratio, using data from the Canadian Financial Monitor (CFM) survey.

Understanding the nature of credit risk has important implications for financial stability. Since authorities – notably, central banks – focus on risks that have systemic implications, it is crucial to develop ways to measure these risks.

This paper considers the problem of estimating a linear model between two heavy-tailed variables if the explanatory variable has an extremely low (or high) value. We propose an estimator for the model coefficient by exploiting the tail dependence between the two variables and prove its asymptotic properties.

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.

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.