Outside Investor Access to Top Management: Market Monitoring versus Stock Price Manipulation Staff working paper 2020-43 Josef Schroth Should managers be paid in stock options if they provide stock-market participants with information about the firm? This paper studies how firm owners trade off the benefit of stock-price incentives and better-informed market participants against the cost of potential stock-price manipulation. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D8, D82, D86, G, G1, G14, G3, G32, G34, M, M1, M12, M4, M41 Research Theme(s): Financial markets and funds management, Market functioning, Financial system, Financial institutions and intermediation
Monetary Policy Transmission with Endogenous Central Bank Responses in TANK Staff working paper 2025-21 Lilia Maliar, Chris Naubert We study how the transmission of monetary policy innovations is affected by the endogenous response of the central bank to macroeconomic aggregates in a two-agent New Keynesian model. We focus on how the stance of monetary policy and the fraction of savers in the economy affect transmission. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C6, C61, C62, C63, E, E3, E31, E5, E52 Research Theme(s): Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission
Identification and Estimation of Risk Aversion in First-Price Auctions with Unobserved Auction Heterogeneity Staff working paper 2016-23 Serafin Grundl, Yu Zhu This paper shows point identification in first-price auction models with risk aversion and unobserved auction heterogeneity by exploiting multiple bids from each auction and variation in the number of bidders. The required exclusion restriction is shown to be consistent with a large class of entry models. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C14, C5, C57, D, D4, D44, L, L0, L00 Research Theme(s): Financial markets and funds management, Market structure, Models and tools, Econometric, statistical and computational methods
March 11, 2021 COVID-19, savings and household spending Remarks (delivered virtually) Lawrence L. Schembri Restaurants Canada Toronto, Ontario Deputy Governor Lawrence Schembri talks about the Bank’s latest interest rate announcement and discusses how COVID-19 has affected savings and the outlook household spending. Content Type(s): Press, Speeches and appearances, Remarks Subject(s): Monetary policy, Economy/Economic growth, Inflation, Inflation targeting framework
Is a Cashless Society Problematic? Staff discussion paper 2018-12 Walter Engert, Ben Fung, Scott Hendry The use of bank notes in Canada for payments has declined consistently for some time, and similar trends are evident in other countries. This has led some observers to predict a cashless society in the future. Content Type(s): Staff research, Staff discussion papers JEL Code(s): E, E4, E41, E42, E5 Research Theme(s): Financial system, Financial stability and systemic risk, Money and payments, Cash and bank notes, Digital assets and fintech, Retail payments
Short-Run and Long-Run News: Evidence from Giant Commodity Discoveries Staff working paper 2025-24 Jean-Paul L’Huillier, Kirill Shakhnov, Laure Simon Our understanding of news shocks is, to a large extent, based on studies that focus empirically on short-run news. This paper brings new insights by analyzing the effects of giant commodity discoveries, which typically materialize over the longer run. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E23, F, F3, F4, Q, Q3, Q33 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Economic models, Monetary policy, Real economy and forecasting, Structural challenges, International trade, finance and competitiveness
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
Evaluating the Bank of Canada Staff Economic Projections Using a New Database of Real-Time Data and Forecasts Staff working paper 2018-52 Julien Champagne, Guillaume Poulin-Bellisle, Rodrigo Sekkel We present a novel database of real-time data and forecasts from the Bank of Canada’s staff economic projections. We then provide a forecast evaluation for GDP growth and CPI inflation since 1982: we compare the staff forecasts with those from commonly used time-series models estimated with real-time data and with forecasts from other professional forecasters and provide standard bias tests. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C3, C32, E, E1, E17, E3, E37 Research Theme(s): Models and tools, Economic models, Monetary policy, Inflation dynamics and pressures, Real economy and forecasting
Recent Evolution of Canada’s Credit-to-GDP Gap: Measurement and Interpretation Staff analytical note 2017-25 Timothy Grieder, Dylan Hogg, Thibaut Duprey Over the past several years, the Bank for International Settlements has noted that Canada’s credit-to-GDP gap has widened and is above thresholds indicating future banking stress. Content Type(s): Staff research, Staff analytical notes JEL Code(s): D, D1, E, E3, E32, G, G0, G01, G1, G2, G21, G3, G30 Research Theme(s): Financial system, Financial stability and systemic risk, Household and business credit
Estimating Policy Functions in Payments Systems Using Reinforcement Learning Staff working paper 2021-7 Pablo S. Castro, Ajit Desai, Han Du, Rodney J. Garratt, Francisco Rivadeneyra We demonstrate the ability of reinforcement learning techniques to estimate the best-response functions of banks participating in high-value payments systems—a real-world strategic game of incomplete information. Content Type(s): Staff research, Staff working papers JEL Code(s): A, A1, A12, C, C7, D, D8, D83, E, E4, E42, E5, E58 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Digital assets and fintech, Payment and financial market infrastructures