C - Mathematical and Quantitative Methods
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Payment Coordination and Liquidity Efficiency in the New Canadian Wholesale Payments System
We study the impact of the Bank of Canada’s choice of settlement mechanism in Lynx on participant behaviors, liquidity usage, payment delays and the overall operational efficiency of the new system. -
Assessing Climate-Related Financial Risk: Guide to Implementation of Methods
A pilot project on climate transition scenarios by the Bank of Canada and the Office of the Superintendent of Financial Institutions assessed climate-related credit and market risks. This report describes the project’s methodologies and provides guidance on implementing them. -
Transition Scenarios for Analyzing Climate-Related Financial Risk
Climate transition scenarios clarify climate-related risks to our economy and financial system. This paper summarizes key results of Canada-relevant scenarios developed in a pilot project on climate risk by the Bank of Canada and the Office of the Superintendent of Financial Institutions. -
Business Closures and (Re)Openings in Real Time Using Google Places
The COVID-19 pandemic highlighted the need for policy-makers to closely monitor disruptions to the retail and food business sectors. We present a new method to measure business opening and closing rates using real-time data from Google Places, the dataset behind the Google Maps service. -
Quantifying the Economic Benefits of Payments Modernization: the Case of the Large-Value Payment System
Canada is undertaking a major initiative to modernize its payments ecosystem. The modernized ecosystem is expected to bring significant benefits to Canadian financial markets and the overall economy. We develop an empirical framework to quantify the economic benefits of modernizing the payment system in Canada. -
What to Target? Insights from a Lab Experiment
In a laboratory experiment, we ask participants to predict inflation using three different policy regimes: inflation targeting—with and without greater communication of the target—average inflation targeting and price level targeting. We use participants’ predictions to compare the level and stability of inflation under each regime. -
Covariates Hiding in the Tails
We characterize the bias in cross-sectional Hill estimates caused by common underlying factors and propose two simple-to-implement remedies. To test for the presence, direction and size of the bias, we use monthly US stock returns and annual US Census county population data. -
Can the characteristics of new mortgages predict borrowers’ financial stress? Insights from the 2014 oil price decline
We study the relationship between characteristics of new mortgages and borrowers’ financial stress in Canada’s energy-intensive regions following the 2014 collapse in oil prices. We find that borrowers with limited home equity were more likely to have difficulty repaying debt. -
Rising US LNG Exports and Global Natural Gas Price Convergence
We assess how rising exports of US liquefied natural gas affect the convergence of natural gas prices worldwide. Our results may have implications for the development of future LNG export capacity in Canada.