C - Mathematical and Quantitative Methods
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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. -
Payment Habits During COVID-19: Evidence from High-Frequency Transaction Data
We examine how consumers have adjusted their payment habits during the COVID-19 pandemic. They seem to perform fewer transactions, spend more in each transaction, use less cash at the point of sale and withdraw cash from ATMs linked to their financial institution more often than from other ATMs. -
Household financial vulnerabilities and physical climate risks
Natural disasters occur more often than before, potentially exposing households to financial distress. We study the intersection between household financial vulnerabilities and severe weather events. -
Estimating Large-Dimensional Connectedness Tables: The Great Moderation Through the Lens of Sectoral Spillovers
Understanding the size of sectoral links is crucial to predicting the impact of a crisis on the whole economy. We show that statistical learning techniques substantially outperform traditional estimation techniques when measuring large networks of these links. -
Cash and COVID-19: The impact of the second wave in Canada
The COVID-19 pandemic significantly increased the demand for cash. Cash in circulation increased sharply from March through December 2020, particularly in the early months of this period. Although use of electronic methods of payment also increased significantly, cash use for payments remains high for low-value transactions and among certain demographic groups. -
Stressed but not Helpless: Strategic Behaviour of Banks Under Adverse Market Conditions
Our stress-testing tool considers banks under stress that can strategically manage their balance sheets. Using confidential Canadian supervisory data, we assess whether bank behaviour to maximize shareholder value can amplify a hypothetical stress scenario.