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 Do Mortgage Rate Resets Affect Consumer Spending and Debt Repayment? Evidence from Canadian Consumers Staff Working Paper 2020-18 Katya Kartashova, Xiaoqing Zhou We study the causal effect of mortgage rate changes on consumer spending, debt repayment and defaults during an expansionary and a contractionary monetary policy episode in Canada. We find asymmetric responses of consumer durable spending, deleveraging and defaults. These findings help us to understand household sector response to interest rate changes. Content Type(s): Staff research, Staff working papers Topic(s): Credit and credit aggregates, Interest rates, Monetary policy, Monetary policy transmission JEL Code(s): D, D1, D12, D14, E, E4, E43, E5, E52, G, G2, G21, R, R3, R31
The Effect of Mortgage Rate Resets on Debt: Evidence from TransUnion (Part I) Staff Analytical Note 2020-2 Katya Kartashova This note studies how decreases in mortgage rates affect the behaviour of borrowers in terms of spending on durable goods and repaying debt. Content Type(s): Staff research, Staff analytical notes Topic(s): Credit and credit aggregates, Housing, Interest rates, Monetary policy, Monetary policy transmission JEL Code(s): D, D1, D12, D14, E, E4, E43, E5, E52, G, G2, G21, R, R3, R31
Flight from Safety: How a Change to the Deposit Insurance Limit Affects Households’ Portfolio Allocation Staff Working Paper 2019-29 H. Evren Damar, Reint Gropp, Adi Mordel Deposit insurance protects depositors from failing banks, thus making insured deposits risk-free. When a deposit insurance limit is increased, some deposits that previously were uninsured become insured, thereby increasing the share of risk-free assets in households’ portfolios. This increase cannot simply be undone by households, because to invest in uninsured deposits, a household must first invest in insured deposits up to the limit. This basic insight is the starting point of the analysis in this paper. Content Type(s): Staff research, Staff working papers Topic(s): Financial institutions, Financial system regulation and policies JEL Code(s): D, D1, D14, G, G2, G21, G28, L, L5, L51
Inequality in Parental Transfers, Borrowing Constraints and Optimal Higher Education Subsidies Staff Working Paper 2019-7 Youngmin Park This paper studies optimal education subsidies when parental transfers are unequally distributed across students and cannot be publicly observed. After documenting substantial inequality in parental transfers among US college students with similar family resources, I examine its implications for how the education subsidy should vary with schooling level and family resources to minimize inefficiencies generated by borrowing constraints. Content Type(s): Staff research, Staff working papers Topic(s): Fiscal policy, Potential output, Productivity JEL Code(s): D, D1, D14, D6, D61, D64, D8, D82, I, I2, I22, J, J2, J24
A Look Inside the Box: Combining Aggregate and Marginal Distributions to Identify Joint Distributions Staff Working Paper 2018-29 Marie-Hélène Felt This paper proposes a method for estimating the joint distribution of two or more variables when only their marginal distributions and the distribution of their aggregates are observed. Nonparametric identification is achieved by modelling dependence using a latent common-factor structure. Content Type(s): Staff research, Staff working papers Topic(s): Bank notes, Digital currencies and fintech, Econometric and statistical methods JEL Code(s): C, C1, C14, D, D1, D14, E, E4, E41
A Barometer of Canadian Financial System Vulnerabilities Staff Analytical Note 2017-24 Thibaut Duprey, Tom Roberts This note presents a composite indicator of Canadian financial system vulnerabilities—the Vulnerabilities Barometer. It aims to complement the Bank of Canada’s vulnerabilities assessment by adding a quantitative and synthesized perspective to the more granular (distributional) analysis presented in the Financial System Review. Content Type(s): Staff research, Staff analytical notes Topic(s): Econometric and statistical methods, Financial stability, Monetary and financial indicators JEL Code(s): C, C1, C14, C4, C40, D, D1, D14, E, E3, E32, E6, E66, F, F0, F01, G, G0, G01, G1, G15, G2, G21, H, H6, H63
November 28, 2017 Analysis of Household Vulnerabilities Using Loan-Level Mortgage Data Financial System Review - November 2017 Olga Bilyk, Alexander Ueberfeldt, Yang Xu This report examines detailed data on home mortgages to provide a better understanding of the vulnerabilities associated with the mortgage market. The proportion of low-ratio mortgages is growing, particularly in regions with strong house price growth. Moreover, these borrowers exhibit less flexibility to adverse shocks, since they have high debt levels relative to income and have taken mortgages with long amortization periods. Content Type(s): Publications, Financial System Review articles Topic(s): Credit and credit aggregates, Recent economic and financial developments, Sectoral balance sheet JEL Code(s): D, D1, D12, D14, G, G2, G21, G28
Adoption Costs of Financial Innovation: Evidence from Italian ATM Cards Staff Working Paper 2017-8 Kim Huynh, Philipp Schmidt-Dengler, Gregor W. Smith, Angelika Welte The discrete choice to adopt a financial innovation affects a household’s exposure to inflation and transactions costs. We model this adoption decision as being subject to an unobserved cost. Content Type(s): Staff research, Staff working papers Topic(s): Bank notes, Econometric and statistical methods, Financial services JEL Code(s): C, C3, C35, D, D1, D14, E, E4, E41
Household Risk Assessment Model Technical Report No. 106 Brian Peterson, Tom Roberts Household debt can be an important source of vulnerability to the financial system. This technical report describes the Household Risk Assessment Model (HRAM) that has been developed at the Bank of Canada to stress test household balance sheets at the individual level. Content Type(s): Staff research, Technical reports Topic(s): Financial stability, Housing, Sectoral balance sheet JEL Code(s): C, C0, C6, C63, C65, D, D0, D1, D14