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
Disentangling the Factors Driving Housing Resales Staff Analytical Note 2019-12 Mikael Khan, Taylor Webley We use a recently developed model and loan-level microdata to decompose movements in housing resales since 2015. We find that fundamental factors, namely housing affordability and full-time employment, have had offsetting effects on resales over our study period. Content Type(s): Staff research, Staff analytical notes Topic(s): Econometric and statistical methods, Financial stability, Financial system regulation and policies, Housing, Recent economic and financial developments JEL Code(s): C, C2, C22, E, E2, R, R2, R21
Fundamental Drivers of Existing Home Sales in Canada Staff Discussion Paper 2018-16 Taylor Webley Existing home sales’ share of Canada’s economic pie has been rising in recent years, and variation around this trend has resulted in outsized contributions to changes in real gross domestic product (GDP). In this context, we use a cointegration framework to estimate the level of resale activity across the Canadian provinces that is supported by fundamentals—namely, full-time employment, housing affordability and migration flows—to help look through the volatility. Content Type(s): Staff research, Staff discussion papers Topic(s): Econometric and statistical methods, Economic models, Housing JEL Code(s): C, C2, C22, C23, E, E2, E27, R, R2, R21
Does US or Canadian Macro News Drive Canadian Bond Yields? Staff Analytical Note 2018-38 Bruno Feunou, Rodrigo Sekkel, Morvan Nongni Donfack We show that a large share of low-frequency (quarterly) movements in Canadian government bond yields can be explained by macroeconomic news, even though high-frequency (daily) changes are driven by other shocks. Furthermore, we show that US macro news—not domestic news— explains most of the quarterly variation in Canadian bond yields. Content Type(s): Staff research, Staff analytical notes Topic(s): Financial markets, International topics, Monetary policy JEL Code(s): C, C2, C22, E, E4, E43
The Size and Destination of China’s Portfolio Outflows Staff Discussion Paper 2018-11 Rose Cunningham, Eden Hatzvi, Kun Mo The size of China’s financial system raises the possibility that the liberalization of its capital account could have a large effect on the global financial system. This paper provides a counterfactual scenario analysis that estimates what the size and direction of China’s overseas portfolio investments would have been in 2015 if China had had no restrictions on these outflows. Content Type(s): Staff research, Staff discussion papers Topic(s): Balance of payments and components, Econometric and statistical methods, International topics JEL Code(s): C, C2, C23, F, F2, F21, F3, F32, G, G1, G15
How Long Does It Take You to Pay? A Duration Study of Canadian Retail Transaction Payment Times Staff Working Paper 2018-46 Geneviève Vallée Using an exclusive data set of payment times for retail transactions made in Canada, I show that cash is the most time-efficient method of payment (MOP) when compared with payments by debit and credit cards. I model payment efficiency using Cox proportional hazard models, accounting for consumer choice of MOP. Content Type(s): Staff research, Staff working papers Topic(s): Bank notes, Econometric and statistical methods, Payment clearing and settlement systems JEL Code(s): C, C2, C25, C3, C36, C4, C41, D, D2, D23, E, E4, E41, E42