Should Central Banks Worry About Nonlinearities of their Large-Scale Macroeconomic Models? Staff working paper 2017-21 Vadym Lepetyuk, Lilia Maliar, Serguei Maliar How wrong could policymakers be when using linearized solutions to their macroeconomic models instead of nonlinear global solutions? Content Type(s): Staff research, Staff working papers JEL Code(s): C, C6, C61, C63, C68, E, E3, E31, E5, E52 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Monetary policy, Monetary policy framework and transmission
The impact of the Bank of Canada’s Government Bond Purchase Program Staff analytical note 2021-23 Rohan Arora, Sermin Gungor, Joe Nesrallah, Guillaume Ouellet Leblanc, Jonathan Witmer We assess the response of Government of Canada bond yields to the Bank of Canada’s initial announcement of the Government Bond Purchase Program (GBPP) as well as to the Bank’s later GBPP purchase operations. Content Type(s): Staff research, Staff analytical notes JEL Code(s): E, E5, E52, E58, E6, E63 Research Theme(s): Financial markets and funds management, Market functioning, Monetary policy, Monetary policy tools and implementation
March 9, 2010 An Uncertain Past: Data Revisions and Monetary Policy in Canada Bank of Canada Review - Spring 2010 Greg Tkacz Many important economic variables are subject to revision. This article explains how, when, and why such revisions occur; how revisions to Canadian gross domestic product (GDP) compare with GDP revisions in some other countries; which GDP components are subject to the largest revisions; and how data revisions can affect policy decisions. The author finds that revisions to Canadian GDP tend to be smaller, on average, than those of some other countries, and that among the GDP components, exports and imports are most heavily revised. Content Type(s): Publications, Bank of Canada Review articles
Nowcasting Canadian Economic Activity in an Uncertain Environment Staff discussion paper 2018-9 Tony Chernis, Rodrigo Sekkel This paper studies short-term forecasting of Canadian real GDP and its expenditure components using combinations of nowcasts from different models. Starting with a medium-sized data set, we use a suite of common nowcasting tools for quarterly real GDP and its expenditure components. Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C5, C53, E, E3, E37, E5, E52 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting
Parallel Tempering for DSGE Estimation Staff working paper 2024-13 Joshua Brault I develop a population-based Markov chain Monte Carlo algorithm known as parallel tempering to estimate dynamic stochastic general equilibrium models. Parallel tempering approximates the posterior distribution of interest using a family of Markov chains with tempered posteriors. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C11, C15, E, E1, E10 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models
The Determinants of Consumers’ Inflation Expectations: Evidence from the US and Canada Staff working paper 2020-52 Charles Bellemare, Rolande Kpekou Tossou, Kevin Moran We compare the determinants of consumer inflation expectations in the US and Canada by analyzing two current surveys. We find that Canadian consumers rely more on professional forecasts and the history of actual inflation when forming their expectations, while US consumers rely more on their own lagged expectations. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C3, C33, D, D8, D83, D84, E, E3, E31 Research Theme(s): Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission
Are Temporary Oil Supply Shocks Real? Staff working paper 2022-52 Johan Brannlund, Geoffrey R. Dunbar, Reinhard Ellwanger Hurricanes disrupt oil production in the Gulf of Mexico because producers shut in oil platforms to safeguard lives and prevent damage. We examine the effects of these temporary oil supply shocks on real economic activity in the United States. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E3, E31, E32, Q, Q3, Q31, Q4, Q41, Q43 Research Theme(s): Monetary policy, Inflation dynamics and pressures, Real economy and forecasting, Structural challenges, International trade, finance and competitiveness
Calibrating the Magnitude of the Countercyclical Capital Buffer Using Market-Based Stress Tests Staff working paper 2018-54 Maarten van Oordt How much capital do banks need as a buffer to absorb severe shocks? By using historical stock market data, market-based stress tests help estimate the magnitude of capital buffers necessary to absorb severe but plausible shocks. Content Type(s): Staff research, Staff working papers JEL Code(s): G, G1, G10, G2, G21, G28 Research Theme(s): Financial system, Financial stability and systemic risk, Financial system regulation and oversight
The Case of Serial Disappointment Staff analytical note 2016-10 Justin-Damien Guénette, Nicholas Labelle, Martin Leduc, Lori Rennison Similar to those of other forecasters, the Bank of Canada’s forecasts of global GDP growth have shown persistent negative errors over the past five years. This is in contrast to the pre-crisis period, when errors were consistently positive as global GDP surprised to the upside. All major regions have contributed to the forecast errors observed since 2011, although the United States has been the most persistent source of notable errors. Content Type(s): Staff research, Staff analytical notes JEL Code(s): E, E2, E27, E6, E66, F, F0, F01 Research Theme(s): Models and tools, Economic models, Monetary policy, Real economy and forecasting
Finding a Needle in a Haystack: A Machine Learning Framework for Anomaly Detection in Payment Systems Staff working paper 2024-15 Ajit Desai, Anneke Kosse, Jacob Sharples Our layered machine learning framework can enhance real-time transaction monitoring in high-value payment systems, which are a central piece of a country’s financial infrastructure. When tested on data from Canadian payment systems, it demonstrated potential for accurately identifying anomalous transactions. This framework could help improve cyber and operational resilience of payment systems. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C4, C45, C5, C55, D, D8, D83, E, E4, E42 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Payment and financial market infrastructures