On Causal Networks of Financial Firms: Structural Identification via Non-parametric Heteroskedasticity Staff Working Paper 2020-42 Ruben Hipp Banks’ business interactions create a network of relationships that are hidden in the correlations of bank stock returns. But for policy interventions, we need causality to understand how the network changes. Thus, this paper looks for the causal network anticipated by investors. Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Financial markets, Financial stability JEL Code(s): C, C1, C3, C32, C5, C58, L, L1, L14
The New Benchmark for Forecasts of the Real Price of Crude Oil Staff Working Paper 2020-39 Amor Aniss Benmoussa, Reinhard Ellwanger, Stephen Snudden How can we assess the quality of a forecast? We propose a new benchmark to evaluate forecasts of temporally aggregated series and show that the real price of oil is more difficult to predict than we thought. Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, International topics JEL Code(s): C, C1, C5, C53, Q, Q4, Q47
Cyclicality of Schooling: New Evidence from Unobserved Components Models Staff Working Paper 2020-38 Barbara Sadaba, Sunčica Vujič, Sofia Maier What is the time-varying impact of economic cycles on decisions to invest in human capital? Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Econometric and statistical methods JEL Code(s): C, C3, C32, E, E3, I, I2, J, J2
2019 Cash Alternative Survey Results Staff Discussion Paper 2020-8 Kim Huynh, Gradon Nicholls, Mitchell Nicholson The role of cash in Canadians’ lives has been evolving, as innovations in digital payments have become more widely adopted over the past decade. We contribute to the Bank of Canada’s research on central bank digital currency by monitoring Canadians’ use of cash and their adoption of digital payment methods. Content Type(s): Staff research, Staff discussion papers Topic(s): Bank notes, Central bank research, Digital currencies and fintech, Econometric and statistical methods JEL Code(s): C, C1, C12, C9, E, E4, O, O5, O51
Survival Analysis of Bank Note Circulation: Fitness, Network Structure and Machine Learning Staff Working Paper 2020-33 Diego Rojas, Juan Estrada, Kim Huynh, David T. Jacho-Chávez Using the Bank of Canada's Currency Information Management Strategy, we analyze the network structure traced by a bank note’s travel in circulation and find that the denomination of the bank note is important in our potential understanding of the demand and use of cash. 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, C5, C52, C6, C65, C8, C81, E, E4, E42, E5, E51
Sample Calibration of the Online CFM Survey Technical Report No. 118 Marie-Hélène Felt, David Laferrière The Canadian Financial Monitor (CFM) survey uses non-probability sampling for data collection, so selection bias is likely. We outline methods for obtaining survey weights and discuss the conditions necessary for these weights to eliminate selection bias. We obtain calibration weights for the 2018 and 2019 online CFM samples. Content Type(s): Staff research, Technical reports Topic(s): Econometric and statistical methods JEL Code(s): C, C8, C81, C83
Cash and COVID-19: The impact of the pandemic on demand for and use of cash Staff Discussion Paper 2020-6 Heng Chen, Walter Engert, Kim Huynh, Gradon Nicholls, Mitchell Nicholson, Julia Zhu Consumer spending declined significantly during the recent COVID-19 pandemic. This negative shock likely reduced spending across all methods of payment (cash, debit, credit, etc.). The mix of payment methods consumers use could also be affected. We study how the pandemic has influenced the demand for and use of cash. We also offer insights into the use of other payment methods, such as debit and credit cards. Content Type(s): Staff research, Staff discussion papers Topic(s): Bank notes, Central bank research, Coronavirus disease (COVID-19), Digital currencies and fintech, Econometric and statistical methods JEL Code(s): C, C1, C12, C9, E, E4, O, O5, O54
The Term Structures of Loss and Gain Uncertainty Staff Working Paper 2020-19 Bruno Feunou, Ricardo Lopez Aliouchkin, Roméo Tedongap, Lai Xu We investigate the uncertainty around stock returns at different investment horizons. Since a return is either a loss or a gain, we categorize return uncertainty into two components—loss uncertainty and gain uncertainty. We then use these components to evaluate investment. Content Type(s): Staff research, Staff working papers Topic(s): Asset pricing, Econometric and statistical methods JEL Code(s): G, G1, G12
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
Endogenous Time Variation in Vector Autoregressions Staff Working Paper 2020-16 Danilo Leiva-Leon, Luis Uzeda We introduce a new class of time-varying parameter vector autoregressions (TVP-VARs) where the identified structural innovations are allowed to influence — contemporaneously and with a lag — the dynamics of the intercept and autoregressive coefficients in these models. Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Inflation and prices, Monetary policy transmission JEL Code(s): C, C1, C11, C3, C32, E, E3, E31, E5, E52