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 Research 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
Understanding Trend Inflation Through the Lens of the Goods and Services Sectors Staff Working Paper 2020-45 Yunjong Eo, Luis Uzeda, Benjamin Wong The goods and services sectors have experienced considerably different dynamics over the past three decades. Our goal in this paper is to understand how such contrasting behaviors at the sectoral level affect the aggregate level of trend inflation dynamics. Content Type(s): Staff research, Staff working papers Research 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
Unanticipated Defaults and Losses in Canada's Large-Value Payments System, Revisited Staff Discussion Paper 2007-5 Devin Ball, Walter Engert Recent work at the Bank of Canada studied the impact of default in Canada’s large-value payments system, and concluded that participants could readily manage their potential losses (McVanel 2005). In an extension of that work, the authors use a much larger set of daily payments data – with three times as many observations – to […] Content Type(s): Staff research, Staff discussion papers Research Topic(s): Financial institutions, Payment clearing and settlement systems JEL Code(s): E, E4, E44, E47, G, G2, G21
Exponentials, Polynomials, and Fourier Series: More Yield Curve Modelling at the Bank of Canada Staff Working Paper 2002-29 David Bolder, Scott Gusba This paper continues the work started by Bolder and Stréliski (1999) and considers two alternative classes of models for extracting zero-coupon and forward rates from a set of observed Government of Canada bond and treasury-bill prices. Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Financial markets, Interest rates JEL Code(s): C, C0, C6, E, E4, G, G1
Vertical Specialization and Gains from Trade Staff Working Paper 2017-17 Patrick Alexander Multi-stage production is widely recognized as an important feature of the modern global economy. This feature has been incorporated into many state-of-the-art quantitative trade models, and has been shown to deliver significant additional gains from international trade. Content Type(s): Staff research, Staff working papers Research Topic(s): Economic models, International topics, Trade integration JEL Code(s): F, F1, F11, F14, F6, F60
Using Payments Data to Nowcast Macroeconomic Variables During the Onset of COVID-19 Staff Working Paper 2021-2 James Chapman, Ajit Desai We use retail payment data in conjunction with machine learning techniques to predict the effects of COVID-19 on the Canadian economy in near-real time. Our model yields a significant increase in macroeconomic prediction accuracy over a linear benchmark model. Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Payment clearing and settlement systems JEL Code(s): C, C5, C53, C55, E, E3, E37, E4, E42, E5, E52
Consumer Credit with Over-optimistic Borrowers Staff Working Paper 2020-57 Florian Exler, Igor Livshits, James (Jim) C. MacGee, Michèle Tertilt When lenders cannot directly identify behavioural and rational borrowers, they use type scoring to track the likelihood of a borrower’s type. This leads to the partial pooling of borrowers, which results in rational borrowers subsidizing borrowing costs for behavioural borrowers. This, in turn, reduces the effectiveness of regulatory policies that target mistakes by behavioural borrowers. Content Type(s): Staff research, Staff working papers Research Topic(s): Credit and credit aggregates, Credit risk management, Financial system regulation and policies JEL Code(s): E, E2, E21, E4, E49, G, G1, G18, K, K3, K35
A Market-Based Approach to Reverse Stress Testing the Financial System Staff Working Paper 2025-32 Javier Ojea Ferreiro This article examines what market conditions lead to extreme losses in global financial systems. Using a reverse stress testing approach, it introduces two measures of systemic risk by starting from the tail losses and working backward to identify the events most closely associated with them. Content Type(s): Staff research, Staff working papers Research Topic(s): Financial institutions, Financial stability JEL Code(s): C, C0, C02, C3, C32, C5, C58, G, G2, G21
Output Comovement and Inflation Dynamics in a Two-Sector Model with Durable Goods: The Role of Sticky Information and Heterogeneous Factor Markets Staff Working Paper 2016-36 Tomiyuki Kitamura, Tamon Takamura In a simple two-sector New Keynesian model, sticky prices generate a counterfactual negative comovement between the output of durable and nondurable goods following a monetary policy shock. We show that heterogeneous factor markets allow any combination of strictly positive price stickiness to generate positive output comovement. Content Type(s): Staff research, Staff working papers Research Topic(s): Inflation and prices, Monetary policy transmission JEL Code(s): E, E3, E31, E32, E5, E52
Generalized Autoregressive Gamma Processes Staff Working Paper 2023-40 Bruno Feunou We introduce generalized autoregressive gamma (GARG) processes, a class of autoregressive and moving-average processes in which each conditional moment dynamic is driven by a different and identifiable moving average of the variable of interest. We show that using GARG processes reduces pricing errors by substantially more than using existing autoregressive gamma processes does. Content Type(s): Staff research, Staff working papers Research Topic(s): Asset pricing, Econometric and statistical methods JEL Code(s): C, C5, C58, G, G1, G12