Managing GDP Tail Risk Staff working paper 2020-3 Thibaut Duprey, Alexander Ueberfeldt Models for macroeconomic forecasts do not usually take into account the risk of a crisis—that is, a sudden large decline in gross domestic product (GDP). However, policy-makers worry about such GDP tail risk because of its large social and economic costs. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D8, E, E4, E44, E5, E52, E58, G, G0, G01 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission
Do Survey Expectations of Stock Returns Reflect Risk Adjustments? Staff working paper 2019-11 Klaus Adam, Dmitry Matveev, Stefan Nagel Motivated by the observation that survey expectations of stock returns are inconsistent with rational return expectations under real-world probabilities, we investigate whether alternative expectations hypotheses entertained in the literature on asset pricing are consistent with the survey evidence. Content Type(s): Staff research, Staff working papers JEL Code(s): G, G1, G10, G12 Research Theme(s): Financial markets and funds management, Market functioning, Market structure, Models and tools, Econometric, statistical and computational methods, Economic models
Examining the Impact of Home Purchase Restrictions on China’s Housing Market Staff working paper 2021-18 Zhentong Lu, Sisi Zhang, Jian Hong How do “cooling measures” in the housing market—policies aimed to stabilize prices—affect the market? We use a structural model of housing demand and price competition among developers to evaluate China’s home purchase restriction policies implemented in 2010–11. Content Type(s): Staff research, Staff working papers JEL Code(s): O, O1, O18, R, R3, R31, R38 Research Theme(s): Financial markets and funds management, Market structure, Financial system, Household and business credit, Monetary policy, Real economy and forecasting
Partial Identification of Heteroskedastic Structural Vector Autoregressions: Theory and Bayesian Inference Staff working paper 2025-14 Helmut Lütkepohl, Fei Shang, Luis Uzeda, Tomasz Woźniak We consider structural vector autoregressions that are identified through stochastic volatility. Our analysis focuses on whether a particular structural shock can be identified through heteroskedasticity without imposing any sign or exclusion restrictions. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C11, C12, C3, C32, E, E6, E62 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Monetary policy, Real economy and forecasting
February 7, 2014 Flexible Inflation Targeting and “Good” and “Bad” Disinflation Remarks Tiff Macklem John Molson School of Business Concordia University Montréal, Quebec Senior Deputy Governor Tiff Macklem discusses flexible inflation targeting and “good” and “bad” disinflation. Content Type(s): Press, Speeches and appearances, Remarks
On the Evolution of the United Kingdom Price Distributions Staff working paper 2018-25 Ba M. Chu, Kim Huynh, David T. Jacho-Chávez, Oleksiy Kryvtsov We propose a functional principal components method that accounts for stratified random sample weighting and time dependence in the observations to understand the evolution of distributions of monthly micro-level consumer prices for the United Kingdom (UK). Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C14, C8, C83, E, E3, E31, E37 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Inflation dynamics and pressures
December 15, 2016 Monitoring Shadow Banking in Canada: A Hybrid Approach Financial System Review - December 2016 Bo Young Chang, Gitanjali Kumar, André Usche, Michael Januska In Monitoring Shadow Banking in Canada: A Hybrid Approach, Bo Young Chang, Michael Januska, Gitanjali Kumar and André Usche discuss how lending that occurs outside the traditional banking system provides benefits to the economy but must be monitored carefully for potential financial sector vulnerabilities. They describe how the Bank defines and measures shadow banking and how it assesses vulnerabilities in the sector, using an approach that examines both markets and entities. Content Type(s): Publications, Financial System Review articles JEL Code(s): G, G0, G01, G2, G23
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
Evaluating Real GDP Growth Forecasts in the Bank of Canada Monetary Policy Report Staff analytical note 2017-21 André Binette, Dmitri Tchebotarev This paper examines the quality of projections of real GDP growth taken from the Bank of Canada Monetary Policy Report (MPR) since they were first published in 1997. Over the last decade, it has become common practice among the central banking community to discuss forecast performance publicly. Content Type(s): Staff research, Staff analytical notes JEL Code(s): C, C5, C52, E, E3, E32, E37, E5, E52 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Monetary policy, Real economy and forecasting
December 3, 2009 Improving the Resilience of Core Funding Markets Financial System Review - December 2009 Jean-Sébastien Fontaine, Jack Selody, Carolyn A. Wilkins Content Type(s): Publications, Financial System Review articles