June 11, 2009 The Changing Pace of Labour Reallocation in Canada: Causes and Consequences Bank of Canada Review - Summer 2009 Danny Leung, Shutao Cao The number of job gains and losses across firms in Canada each year is roughly one-fifth the total number of jobs and generally occurs within sectors (industries) rather than across sectors. Since labour reallocation within sectors has been strongly related to productivity growth in Canada, defining the key drivers of this type of reallocation is important, given the higher rates of reallocation and productivity growth in the Untied States than in Canada. This article finds that the appreciation of the Canadian dollar and rising commodity prices led to above-average reallocation of labour across sectors over the 2005-08 period, but that the impact on productivity has been minor. Labour reallocation across firms, however, generates substantial labour productivity gains in manufacturing and the business sector as a whole. Content Type(s): Publications, Bank of Canada Review articles
June 21, 2008 Financial Market Turmoil and Central Bank Intervention Financial System Review - June 2008 Walter Engert, Jack Selody, Carolyn A. Wilkins In this article, we consider central bank intervention to address financial market turmoil with a focus on the questions of why, when, and how a central bank might intervene. We set out a policy framework and identify appropriate central bank instruments to respond to extraordinary financial market turmoil, consistent with central bank policy goals and functions. Content Type(s): Publications, Financial System Review articles
April 26, 2002 The Interaction Between Monetary and Fiscal Policies Lecture David Dodge School of Policy Studies Queen's University Kingston, Ontario Donald Gow had a great interest in public administration and in budgetary reform in the federal government.1 He was one in a long line of Queen's professors who have focused on various budgetary matters at the federal level. Content Type(s): Press, Speeches and appearances, Lectures
Evaluating the Effects of Forward Guidance and Large-scale Asset Purchases Staff working paper 2021-54 Xu Zhang I propose a novel method to identify and estimate the macroeconomic effects of forward guidance and large-scale asset purchases (LSAP) for each FOMC announcement. I find that LSAP is more important than forward guidance in influencing output and inflation. LSAP puts upward pressure on short-term yields, so it should always be used in conjunction with forward guidance. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E5, G, G0 Research Theme(s): Models and tools, Economic models, Monetary policy, Monetary policy tools and implementation
Forward Guidance and Expectation Formation: A Narrative Approach Staff working paper 2020-40 Christopher S. Sutherland How exactly does forward guidance influence interest rate expectations? Content Type(s): Staff research, Staff working papers JEL Code(s): D, D8, D83, D84, E, E3, E37, E5, E52, E58 Research Theme(s): Monetary policy, Monetary policy framework and transmission, Monetary policy tools and implementation
Assessing global potential output growth and the US neutral rate: April 2023 Staff analytical note 2023-5 Salma Ahmed, Aviel Avshalumov, Tania Chaar, Eshini Ekanayake, Helen Lao, Louis Poirier, Jenna Rolland-Mills, Argyn Toktamyssov, Lin Xiang We expect global potential output growth to increase from 2.5% in 2022 to 2.8% by 2026. Compared with the April 2022 staff assessment, global potential output growth is marginally slower. The current range for the US neutral rate is 2% to 3%, unchanged from the last annual assessment. Content Type(s): Staff research, Staff analytical notes JEL Code(s): E, E1, E2, E4, E5, F, F0, O, O4 Research Theme(s): Models and tools, Economic models, Monetary policy, Real economy and forecasting, Structural challenges, Demographics and labour supply
BoC–BoE Sovereign Default Database: Appendix and References Technical report No. 125 David Beers, Obiageri Ndukwe, Joe Berry Since 2014, the Bank of Canada (BoC) has maintained a comprehensive database of sovereign defaults to systematically measure and aggregate the nominal value of the different types of sovereign government debt in default. The database is posted on the BoC’s website and is updated annually in partnership with the Bank of England (BoE). Content Type(s): Staff research, Technical reports JEL Code(s): F, F3, F34, G, G1, G10, G14, G15 Research Theme(s): Financial markets and funds management, Funds management, Financial system, Financial stability and systemic risk
Early Warning of Financial Stress Events: A Credit-Regime-Switching Approach Staff working paper 2016-21 Fuchun Li, Hongyu Xiao We propose an early warning model for predicting the likelihood of a financial stress event for a given future time, and examine whether credit plays an important role in the model as a non-linear propagator of shocks. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C12, C14, G, G0, G01, G1, G17 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Econometric, statistical and computational methods
Measuring Systemic Risk Across Financial Market Infrastructures Staff working paper 2016-10 Fuchun Li, Héctor Pérez Saiz We measure systemic risk in the network of financial market infrastructures (FMIs) as the probability that two or more FMIs have a large credit risk exposure to the same FMI participant. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C5, C58, G, G2, G21, G23 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Econometric, statistical and computational methods, Money and payments, Payment and financial market infrastructures
Good Volatility, Bad Volatility and Option Pricing Staff working paper 2017-52 Bruno Feunou, Cédric Okou Advances in variance analysis permit the splitting of the total quadratic variation of a jump diffusion process into upside and downside components. Recent studies establish that this decomposition enhances volatility predictions, and highlight the upside/downside variance spread as a driver of the asymmetry in stock price distributions. Content Type(s): Staff research, Staff working papers JEL Code(s): G, G1, G12 Research Theme(s): Financial markets and funds management, Market functioning, Models and tools, Econometric, statistical and computational methods