November 28, 2017 Financial System Review - November 2017 This issue of the Financial System Review reflects the Bank’s judgment that the high level of household indebtedness and housing market imbalances remain the most important vulnerabilities. While these vulnerabilities are still elevated, improving economic conditions and recent changes to housing policy should support an easing of these vulnerabilities over time. A third vulnerability highlighted in the FSR concerns cyber threats and the interconnectedness of the financial system. Content Type(s): Publications, Financial Stability Report
Classical Decomposition of Markowitz Portfolio Selection Staff working paper 2020-21 Christopher Demone, Olivia Di Matteo, Barbara Collignon In this study, we enhance Markowitz portfolio selection with graph theory for the analysis of two portfolios composed of either EU or US assets. Using a threshold-based decomposition of their respective covariance matrices, we perturb the level of risk in each portfolio and build the corresponding sets of graphs. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C0, C02 Research Theme(s): Financial markets and funds management, Market functioning, Models and tools, Econometric, statistical and computational methods
Immigration and Provision of Public Goods: Evidence at the Local Level in the U.S. Staff working paper 2023-57 Anna Maria Mayda, Mine Z. Senses, Walter Steingress Using U.S. county-level data from 1990 to 2010, we study the causal impact of immigration on the provision of local public goods. We uncover substantial heterogeneity across immigrants with different skills and immigrants of different generations, which leads to unequal fiscal effects across U.S. counties. Content Type(s): Staff research, Staff working papers JEL Code(s): F, F2, F22, H, H4, H41, H7, J, J6, J61, J68, R, R5 Research Theme(s): Monetary policy, Real economy and forecasting, Structural challenges, Demographics and labour supply
Quantum Monte Carlo for Economics: Stress Testing and Macroeconomic Deep Learning Staff working paper 2022-29 Vladimir Skavysh, Sofia Priazhkina, Diego Guala, Thomas Bromley Using the quantum Monte Carlo algorithm, we study whether quantum computing can improve the run time of economic applications and challenges in doing so. We apply the algorithm to two models: a stress testing bank model and a DSGE model solved with deep learning. We also present innovations in the algorithm and benchmark it to classical Monte Carlo. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C15, C6, C61, C63, C68, C7, E, E1, E13, G, G1, G17, G2, G21 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Econometric, statistical and computational methods, Economic models
October 3, 2023 Understanding the unusual: How firms set prices during periods of high inflation Remarks Nicolas Vincent Chamber of Commerce of Metropolitan Montreal Montréal, Quebec Deputy Governor Nicolas Vincent discusses how firms set their prices and how pricing behaviour changed in our recent environment of high inflation. Content Type(s): Press, Speeches and appearances, Remarks Subject(s): Monetary policy, Economic models, Economy/Economic growth, Inflation, Inflation targeting framework
Systemic Risk and Portfolio Diversification: Evidence from the Futures Market Staff working paper 2021-50 Radoslav Raykov This paper explores how the Canadian futures market contributed to banks’ systemic risk during the 2008 financial crisis. It finds that core banks as a whole traded against the periphery, in this way increasing their risk of simultaneous losses. Content Type(s): Staff research, Staff working papers JEL Code(s): G, G1, G10, G2, G20 Research Theme(s): Financial markets and funds management, Market functioning, Market structure, Financial system, Financial institutions and intermediation, Financial stability and systemic risk
What Do Survey Data Tell Us About US Businesses? Staff working paper 2019-45 Anmol Bhandari, Serdar Birinci, Ellen McGrattan, Kurt See This paper examines the reliability of survey data on business incomes, valuations, and rates of return, which are key inputs for studies of wealth inequality and entrepreneurial choice. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C8, C83, E, E2, E22, H, H2, H25 Research Theme(s): Financial system, Household and business credit, Monetary policy, Real economy and forecasting
Privacy-Preserving Post-Quantum Credentials for Digital Payments Staff working paper 2023-33 Raza Ali Kazmi, Duc-Phong Le, Cyrus Minwalla Digital payments and decentralized systems enable the creation of new financial products and services for users. One core challenge in digital payments is the need to protect users from fraud and abuse while retaining privacy in individual transactions. We propose a pseudonymous credential scheme for use in payment systems to tackle this problem. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E4, E42, G, G2, G21, O, O3, O31 Research Theme(s): Money and payments, Digital assets and fintech, Payment and financial market infrastructures, Retail payments
February 5, 2026 Structural change—Canada at a crossroads Remarks Tiff Macklem Empire Club of Canada Toronto, Ontario Governor Tiff Macklem discusses how structural change—driven by U.S. protectionism, AI, and slowing population growth—is reshaping Canada’s economy. He outlines the Bank’s role in maintaining low and stable inflation while helping the economy through the transition. Content Type(s): Press, Speeches and appearances, Remarks Subject(s): Monetary policy, Economy/Economic growth, Inflation
November 17, 2011 Extracting Information from the Business Outlook Survey: A Principal-Component Approach Bank of Canada Review - Autumn 2011 Lise Pichette, Lori Rennison This article reviews recent work that uses principal-component analysis to extract information common to indicators from the Bank of Canada’s Business Outlook Survey (BOS). The authors use correlation analysis and an out-of-sample forecasting exercise to assess and compare the information content of the principal component with that of responses to key individual survey questions on growth in real gross domestic product and in real business investment. Results suggest that summarizing the common movements among BOS indicators may provide useful information for forecasting near-term growth in business investment. For growth in real gross domestic product, however, the survey’s balance of opinion on future sales growth appears to be more informative. Content Type(s): Publications, Bank of Canada Review articles