Government of Canada Securities in the Cash, Repo and Securities Lending Markets Staff discussion paper 2018-4 Narayan Bulusu, Sermin Gungor This paper documents the properties of Government of Canada securities in cash, repo and securities lending transactions over their life cycle. By tracking every security from issuance to maturity, we are able to highlight inter-linkages between the markets for cash and for specific securities. Content Type(s): Staff research, Staff discussion papers JEL Code(s): G, G1, G12, G2, G21, G23 Research Theme(s): Financial markets and funds management, Funds management, Market functioning, Financial system, Financial institutions and intermediation
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
August 25, 2020 Perceived inflation and reality: understanding the difference Remarks (delivered virtually) Lawrence L. Schembri Canadian Association for Business Economics Kingston, Ontario In a virtual address to the Canadian Association for Business Economics, Deputy Governor Lawrence Schembri discusses the difference between how Canadians perceive inflation and the actual measured rate. He explains why that gap may exist and what it could mean for monetary policy and the economy. Content Type(s): Press, Speeches and appearances, Remarks Subject(s): Monetary policy, Economic models, Economy/Economic growth, Inflation, Inflation targeting framework
Interpreting Volatility Shocks as Preference Shocks Staff working paper 2016-45 Shaofeng Xu This paper examines the relationship between volatility shocks and preference shocks in an analytically tractable endogenous growth model with recursive preferences and stochastic volatility. I show that there exists an explicit mapping between volatility shocks and preference shocks, and a rise in volatility generates the same impulse responses of macroeconomic aggregates as a negative preference shock. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E3 Research Theme(s): Models and tools, Economic models, Monetary policy, Real economy and forecasting
June 11, 2015 Canadian Open-End Mutual Funds: An Assessment of Potential Vulnerabilities Financial System Review - June 2015 Sandra Ramirez, Jesus Sierra, Jonathan Witmer The authors examine the liquidity and leverage characteristics of Canadian long-term, open-end mutual funds in terms of their potential systemic effects on the Canadian mutual fund sector and on the Canadian financial system more broadly. In their overall assessment of this sector, they consider the regulation, market size and ownership structure of mutual funds in Canada and provide observations about the industry globally. Content Type(s): Publications, Financial System Review articles JEL Code(s): G, G2, G23, G28
May 19, 2011 Understanding and Measuring Liquidity Risk: A Selection of Recent Research Bank of Canada Review - Spring 2011 Céline Gauthier, Hajime Tomura During the recent financial crisis, one of the forces set in motion by the initial losses on subprime-mortgage loans was a significant decline in the market liquidity of assets and in the ability of financial institutions to obtain funding in wholesale markets. In this article, the authors summarize recent research that clarifies the role of liquidity in destabilizing the financial system and examine the implications of this research for the recently announced financial system reforms, including Basel III. Content Type(s): Publications, Bank of Canada Review articles
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
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
Digitalization: Implications for Monetary Policy Staff discussion paper 2023-18 Vivian Chu, Tatjana Dahlhaus, Christopher Hajzler, Pierre-Yves Yanni We explore the implications of digitalization for monetary policy, both in terms of how monetary policy affects the economy and in terms of data analysis and communication with the public. Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C4, C8, E, E3, E31, E32, E5, E52 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Monetary policy, Monetary policy framework and transmission, Structural challenges, Digitalization and productivity