Estimating Systematic Risk Under Extremely Adverse Market Conditions Staff working paper 2016-22 Maarten van Oordt, Chen Zhou This paper considers the problem of estimating a linear model between two heavy-tailed variables if the explanatory variable has an extremely low (or high) value. We propose an estimator for the model coefficient by exploiting the tail dependence between the two variables and prove its asymptotic properties. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C14, G, G0, G01 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Econometric, statistical and computational methods
The Extensive Margin of Trade and Monetary Policy Staff working paper 2018-37 Yuko Imura, Malik Shukayev This paper studies the effects of monetary policy shocks on firms’ participation in exporting. We develop a two-country dynamic stochastic general equilibrium model in which heterogeneous firms make forward-looking decisions on whether to participate in the export market and prices are staggered across firms and time. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E5, E52, F, F1, F12, F4, F44 Research Theme(s): Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission, Structural challenges, International trade, finance and competitiveness
Fiscal and Monetary Stabilization Policy at the Zero Lower Bound: Consequences of Limited Foresight Staff working paper 2021-51 Michael Woodford, Yinxi Xie How do outcomes of monetary and fiscal stabilization policies at the zero lower bound change when decision makers have finite planning horizons in the economy? We explore the effects of limited foresight on policy tools and the interaction between monetary and fiscal policy. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E5, E52, E6, E63, E7 Research Theme(s): Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission, Monetary policy tools and implementation, Real economy and forecasting
Early signs of AI-driven adjustments in Canada’s labour market Sparks at Bank article Dany Brouillette, Tatjana Dahlhaus, Gabriela Galassi AI has the potential to reshape the labour market by automating some tasks for many workers. Even though evidence of a significant impact on the labour market remains limited, AI appears to be making it harder for some Canadians to find work in occupations that are most exposed to it. Content Type(s): Staff research, Sparks at Bank article Research Theme(s): Structural challenges, Demographics and labour supply, Digitalization and productivity
Challenges in Implementing Worst-Case Analysis Staff working paper 2018-47 Jon Danielsson, Lerby Ergun, Casper G. de Vries Worst-case analysis is used among financial regulators in the wake of the recent financial crisis to gauge the tail risk. We provide insight into worst-case analysis and provide guidance on how to estimate it. We derive the bias for the non-parametric heavy-tailed order statistics and contrast it with the semi-parametric extreme value theory (EVT) approach. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C0, C01, C1, C14, C5, C58 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Econometric, statistical and computational methods
Dating Systemic Financial Stress Episodes in the EU Countries Staff working paper 2016-11 Benjamin Klaus, Tuomas Peltonen, Thibaut Duprey This paper introduces a new methodology to date systemic financial stress events in a transparent, objective and reproducible way. The financial cycle is captured by a monthly country-specific financial stress index. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C5, C54, G, G0, G01, G1, G15 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Econometric, statistical and computational methods
December 23, 2005 The Use of Microdata to Assess Risks in the Non-Financial Corporate Sector Financial System Review - December 2005 Meyer Aaron, Dylan Hogg Content Type(s): Publications, Financial System Review articles
Uncovering Subjective Models from Survey Expectations Staff working paper 2025-31 Chenyu Hou, Tao Wang This paper shows that survey expectations can be used to uncover how households subjectively think about inflation and unemployment dynamics jointly. The commonly documented "stagflation view", namely the households' tendency to associate inflation with a worse labor market, implies amplified impacts of supply shocks and dampened ones of demand shocks. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D8, D84, E, E2, E21, E3, E30, E32, E7, E71 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Monetary policy, Inflation dynamics and pressures, Real economy and forecasting
November 18, 2010 Trends in Issuance: Underlying Factors and Implications Bank of Canada Review - Autumn 2010 Jonathan Witmer Trends in debt issuance have changed significantly over the past decade, both prior to the financial crisis and subsequently. Content Type(s): Publications, Bank of Canada Review articles
Beyond the averages: Measuring underlying wage growth using Labour Force Survey microdata Staff analytical note 2024-23 Fares Bounajm, Tessa Devakos, Gabriela Galassi When it comes to understanding the influence of labour costs on inflation, average wage growth is a misleading indicator because it is affected by composition effects. We propose an alternative measure that corrects for these effects by using microdata from the Labour Force Survey. Our new measure has many desirable properties, including reduced volatility and a better relationship with labour market fundamentals. Content Type(s): Staff research, Staff analytical notes JEL Code(s): C, C3, C31, J, J2, J21, J3, J30, J31, J8, J82 Research Theme(s): Monetary policy, Inflation dynamics and pressures, Real economy and forecasting, Structural challenges, Demographics and labour supply