Can the characteristics of new mortgages predict borrowers’ financial stress? Insights from the 2014 oil price decline Staff Analytical Note 2021-22 Olga Bilyk, Ken Chow, Yang Xu 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. Content Type(s): Staff research, Staff analytical notes Topic(s): Credit and credit aggregates, Econometric and statistical methods, Financial stability, Housing JEL Code(s): C, C2, C25, D, D1, D14, G, G2, G21, G5, G51, R, R2, R21
Payment Habits During COVID-19: Evidence from High-Frequency Transaction Data Staff Working Paper 2021-43 Tatjana Dahlhaus, Angelika Welte 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. Content Type(s): Staff research, Staff working papers Topic(s): Coronavirus disease (COVID-19), Domestic demand and components, Payment clearing and settlement systems, Recent economic and financial developments JEL Code(s): C, C2, C22, C5, C55, D, D1, D12, E, E2, E21, E4, E42, E5, E52
Household financial vulnerabilities and physical climate risks Staff Analytical Note 2021-19 Thibaut Duprey, Colin Jones, Callie Symmers, Geneviève Vallée 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. Content Type(s): Staff research, Staff analytical notes Topic(s): Climate change, Credit and credit aggregates, Financial stability, Housing, Recent economic and financial developments JEL Code(s): C, C2, C21, C3, C38, D, D1, D14, Q, Q5, Q54
Estimating Large-Dimensional Connectedness Tables: The Great Moderation Through the Lens of Sectoral Spillovers Staff Working Paper 2021-37 Felix Brunner, Ruben Hipp 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. Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Econometric and statistical methods JEL Code(s): C, C2, C22, C5, C52, E, E2, E23, E27
Evolving Temperature Dynamics in Canada: Preliminary Evidence Based on 60 Years of Data Staff Working Paper 2021-22 Robert Amano, Marc-André Gosselin, Julien McDonald-Guimond Are summers getting hotter? Do daily temperatures change more than they used to? Using daily Canadian temperature data from 1960 to 2020 and modern econometric methods, we provide economists and policy-makers evidence on the important climate change issue of evolving temperatures. Content Type(s): Staff research, Staff working papers Topic(s): Climate change, Econometric and statistical methods JEL Code(s): C, C2, C22, Q, Q5, Q54
Networking the Yield Curve: Implications for Monetary Policy Staff Working Paper 2021-4 Tatjana Dahlhaus, Julia Schaumburg, Tatevik Sekhposyan We study how different monetary policies affect the yield curve and interact. Our study highlights the importance of the spillover structure across the yield curve for policy-making. Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Interest rates, Monetary policy implementation JEL Code(s): C, C1, C18, C2, C21, C5, C53, E, E4, E43, E44, E5, E52
The Market for Acquiring Card Payments from Small and Medium-Sized Canadian Merchants Staff Discussion Paper 2020-5 Angelika Welte, Jozsef Molnar This note uses industry data and a unique dataset of small and medium-sized merchants to provide insights into the acquirer-merchant market in Canada. Content Type(s): Staff research, Staff discussion papers Topic(s): Financial services, Market structure and pricing, Payment clearing and settlement systems JEL Code(s): C, C2, D, D2, E, E4, E42
Household indebtedness risks in the wake of COVID‑19 Staff Analytical Note 2020-8 Olga Bilyk, Anson T. Y. Ho, Mikael Khan, Geneviève Vallée COVID-19 presents challenges for indebted households. We assess these by drawing parallels between pandemics and natural disasters. Taking into account the financial health of the household sector when the pandemic began, we run model simulations to illustrate how payment deferrals and the labour market recovery will affect mortgage defaults. Content Type(s): Staff research, Staff analytical notes Topic(s): Climate change, Coronavirus disease (COVID-19), Credit and credit aggregates, Econometric and statistical methods, Financial stability, Fiscal policy, Housing, Recent economic and financial developments, Sectoral balance sheet JEL Code(s): C, C2, C21, D, D1, D12, D14, E, E2, E24, E27, E6, E62, G, G2, G21, G28, R, R2
How Oil Supply Shocks Affect the Global Economy: Evidence from Local Projections Staff Discussion Paper 2019-6 Olivier Gervais We provide empirical evidence on the impact of oil supply shocks on global aggregates. To do this, we first extract structural oil supply shocks from a standard oil-price determination model found in the literature. Content Type(s): Staff research, Staff discussion papers Topic(s): Business fluctuations and cycles, International topics JEL Code(s): C, C2, C22, C5, E, E3, E37, Q, Q4, Q43
Composite Likelihood Estimation of an Autoregressive Panel Probit Model with Random Effects Staff Working Paper 2019-16 Kerem Tuzcuoglu Modeling and estimating persistent discrete data can be challenging. In this paper, we use an autoregressive panel probit model where the autocorrelation in the discrete variable is driven by the autocorrelation in the latent variable. In such a non-linear model, the autocorrelation in an unobserved variable results in an intractable likelihood containing high-dimensional integrals. Content Type(s): Staff research, Staff working papers Topic(s): Credit risk management, Econometric and statistical methods, Economic models JEL Code(s): C, C2, C23, C25, C5, C58, G, G2, G24