Central Bank Digital Currency and Monetary Policy Staff working paper 2018-36 Mohammad Davoodalhosseini Many central banks are contemplating whether to issue central bank digital currency. This piece explores the implications as well as potential motivators of such a step. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E4, E42, E5, E50 Research Theme(s): Monetary policy, Monetary policy framework and transmission, Monetary policy tools and implementation, Money and payments, Digital assets and fintech
A Counterfactual Valuation of the Stock Index as a Predictor of Crashes Staff working paper 2017-38 Tom Roberts Stock market fundamentals would not seem to meaningfully predict returns over a shorter-term horizon—instead, I shift focus to severe downside risk (i.e., crashes). Content Type(s): Staff research, Staff working papers JEL Code(s): G, G0, G01, G1, G12, G17, G19 Research Theme(s): Financial markets and funds management, Market functioning, Financial system, Financial stability and systemic risk
Limiting Sender’s Information in Bayesian Persuasion Staff working paper 2019-10 Shota Ichihashi This paper studies how the outcome of Bayesian persuasion depends on a sender’s information. I study a game in which, prior to the sender’s information disclosure, the designer can restrict the most informative signal that the sender can generate. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D8, D82, D83 Research Theme(s): Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission
The Role of Corporate Saving over the Business Cycle: Shock Absorber or Amplifier? Staff working paper 2018-59 Xiaodan Gao, Shaofeng Xu We document countercyclical corporate saving behavior with the degree of countercyclicality varying nonmonotonically with firm size. We then develop a dynamic stochastic general equilibrium model with heterogeneous firms to explain the pattern and study its implications for business cycles. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E20, E22, E3, E32, G, G3, G31, G32 Research Theme(s): Financial system, Financial institutions and intermediation, Household and business credit, Models and tools, Economic models, Monetary policy, Real economy and forecasting
Systemic Risk and Collateral Adequacy Staff working paper 2019-23 Radoslav Raykov Many derivatives markets use collateral requirements calculated with industry-standard but dated methods that are not designed with systemic risk in mind. This paper explores whether the conservative nature of conventional collateral requirements outweighs their lack of consideration of systemic risk. 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, Financial system, Financial stability and systemic risk, Money and payments, Payment and financial market infrastructures
May 20, 2002 Trends in Productivity Growth in Canada Bank of Canada Review - Spring 2002 Allan Crawford This article describes the major trends in the growth of labour productivity in Canada since the early 1960s and summarizes our current knowledge about the causes of the historical patterns. Particular attention is given to the period since the mid-1990s during which productivity growth has been significantly higher in the United States than in Canada. The author reviews the empirical evidence on the contribution of information and communication technology to the recent difference between Canadian and U.S. rates of productivity growth. Other determinants of a country's productivity performance, such as human capital formation and openness to international trade, are also examined. The article concludes with an assessment of the prospects for an increase in the trend rate of productivity growth in Canada over the coming years. Content Type(s): Publications, Bank of Canada Review articles
February 10, 2011 Commodity Prices: The Long and the Short of It Remarks John Murray IPAC-Saskatchewan/Johnson/Shoyama Graduate School of Public Policy Regina, Saskatchewan Commodity prices are once again making headlines. Some commodity prices, such as those for copper and cattle, have reached record highs; others are rising quickly and approaching previous peaks. Content Type(s): Press, Speeches and appearances, Remarks
December 10, 2013 Assessing the Systemic Importance of Financial Institutions Financial System Review - December 2013 Éric Chouinard, Erik Ens Content Type(s): Publications, Financial System Review articles
Understanding Post-COVID Inflation Dynamics Staff working paper 2022-50 Martin Harding, Jesper Lindé, Mathias Trabandt We propose a macroeconomic model with a nonlinear Phillips curve that has a flat slope when inflationary pressures are subdued and steepens when inflationary pressures are elevated. Our model can generate more sizable inflation surges due to cost-push and demand shocks than a standard linearized model when inflation is high. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E3, E30, E31, E32, E37, E4, E44, E5, E52 Research Theme(s): Models and tools, Economic models, Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission
August 15, 2001 Analyzing the Monetary Aggregates Bank of Canada Review - Summer 2001 Dinah Maclean In recent years, the Bank has put renewed emphasis on analyzing monetary variables and on developing models that incorporate money as an active part of the transmission mechanism. In this article, Dinah Maclean describes how the monetary aggregates are used in the formulation of monetary policy analysis at the Bank, outlining the key tools and models used. The most important money-based model currently in use is the M1-VECM. In this model, deviations in the money supply from the long-term demand for money cause changes in inflation. The author briefly describes the "active-money" paradigm underlying this model and explains the key equations within it. Other simpler empirical models are also outlined, including single-equation indicator models for output based on the narrow aggregates, a neural network, and a model based on the broader aggregate M2++. A detailed technical annex provides details on model equations and coefficient values. Content Type(s): Publications, Bank of Canada Review articles