Production Networks and the Propagation of Commodity Price Shocks Staff working paper 2020-44 Shutao Cao, Wei Dong We examine the macro implications of commodity price shocks in a model with multiple production sectors that are interconnected within a commodity-exporting small open economy. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D5, D57, F, F4, F41 Research Theme(s): Models and tools, Economic models, Monetary policy, Inflation dynamics and pressures, Real economy and forecasting, Structural challenges, International trade, finance and competitiveness
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
The Extensive Margin of Trade and Monetary Policy Staff working paper 2018-37 Yuko Imura, Malik Shukayev This paper studies the effects of monetary policy shocks on firms’ participation in exporting. We develop a two-country dynamic stochastic general equilibrium model in which heterogeneous firms make forward-looking decisions on whether to participate in the export market and prices are staggered across firms and time. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E5, E52, F, F1, F12, F4, F44 Research Theme(s): Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission, Structural challenges, International trade, finance and competitiveness
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
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
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
Trade and Diffusion of Embodied Technology: An Empirical Analysis Staff working paper 2023-21 Stephen Ayerst, Faisal Ibrahim, Gaelan MacKenzie, Swapnika Rachapalli Using data from patents, citations, inter-sectoral sales and customs, we examine the international diffusion of technology through imports of sectoral knowledge and production inputs. We develop an instrumental variable strategy to identify the causal effects of technology embodied in imports on innovation and diffusion outcomes. Content Type(s): Staff research, Staff working papers JEL Code(s): F, F1, F14, F6, F61, O, O1, O19, O3, O31, O33 Research Theme(s): Structural challenges, Digitalization and productivity, International trade, finance and competitiveness
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
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
November 23, 2004 Real Return Bonds: Monetary Policy Credibility and Short-Term Inflation Forecasting Bank of Canada Review - Autumn 2004 Christopher Reid, Frédéric Dion, Ian Christensen The break-even inflation rate (BEIR) is calculated by comparing the yields on conventional and Real Return Bonds. Defined as the average rate of inflation that equates the expected returns on these two bonds, the BEIR has the potential to contain useful information about long-run inflation expectations. Yet the BEIR has been higher, on average, and more variable than survey measures of inflation expectations, which may be explained by the effects of premiums and distortions embedded in the BEIR. Because of the difficulty in accounting for these distortions, the BEIR should not be given a large weight as a measure of long-run inflation expectations at this time. However, as the Real Return Bond market continues to develop, the BEIR should become a more useful indicator of inflation expectations. At present, it demonstrates no clear advantage over survey measures and even past inflation rates in forecasting near-term inflation. Content Type(s): Publications, Bank of Canada Review articles