Are Working Hours Complements in Production? Staff working paper 2022-47 Lin Shao, Faisal Sohail, Emircan Yurdagul Using Canadian matched employer-employee data, we show that working hours of different workers are gross complements in production rather than perfect substitutes, as is typically assumed by macroeconomic models of production. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E23, J, J2, J22, J23, J3, J31 Research Theme(s): Models and tools, Economic models, Monetary policy, Real economy and forecasting, Structural challenges, Demographics and labour supply
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
June 23, 2004 The Organizational Structure of Financial Market Regulation: Highlights from the Literature Financial System Review - June 2004 Christine Fay, Nicolas Parent Content Type(s): Publications, Financial System Review articles
Potential netting benefits from expanded central clearing in Canada’s fixed-income market Staff analytical note 2022-8 Jessie Ziqing Chen, Johannes Chen, Shamarthi Ghosh, Manu Pandey, Adrian Walton We assess whether more central clearing would enhance the resilience of Canadian fixed-income markets. Our analysis estimates the potential benefits of balance sheet netting under scenarios where central clearing is expanded to new participants. Content Type(s): Staff research, Staff analytical notes JEL Code(s): D, D4, G, G1, G12, G2, G21, G29 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
The MacroFinancial Risk Assessment Framework (MFRAF), Version 2.0 Technical report No. 111 Jose Fique This report provides a detailed technical description of the updated MacroFinancial Risk Assessment Framework (MFRAF), which replaces the version described in Gauthier, Souissi and Liu (2014) as the Bank of Canada’s stress-testing model for banks with a focus on domestic systemically important banks (D-SIBs). Content Type(s): Staff research, Technical reports JEL Code(s): C, C7, C72, E, E5, E58, G, G0, G01, G2, G21, G28 Research Theme(s): Financial markets and funds management, Market functioning, Financial system, Financial stability and systemic risk, Financial system regulation and oversight
Trade and Diffusion of Embodied Technology: An Empirical Analysis Staff working paper 2023-21 Stephen Ayerst, Faisal Ibrahim, Gaelan MacKenzie, Swapnika Rachapalli Using data from patents, citations, inter-sectoral sales and customs, we examine the international diffusion of technology through imports of sectoral knowledge and production inputs. We develop an instrumental variable strategy to identify the causal effects of technology embodied in imports on innovation and diffusion outcomes. Content Type(s): Staff research, Staff working papers JEL Code(s): F, F1, F14, F6, F61, O, O1, O19, O3, O31, O33 Research Theme(s): Structural challenges, Digitalization and productivity, International trade, finance and competitiveness
Analysis of Asymmetric GARCH Volatility Models with Applications to Margin Measurement Staff working paper 2018-21 Elena Goldman, Xiangjin Shen We explore properties of asymmetric generalized autoregressive conditional heteroscedasticity (GARCH) models in the threshold GARCH (GTARCH) family and propose a more general Spline-GTARCH model, which captures high-frequency return volatility, low-frequency macroeconomic volatility as well as an asymmetric response to past negative news in both autoregressive conditional heteroscedasticity (ARCH) and GARCH terms. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C5, C58, G, G1, G19, G2, G23, G28 Research Theme(s): Financial markets and funds management, Market functioning, Financial system, Financial stability and systemic risk, Models and tools, Econometric, statistical and computational methods, Money and payments, Payment and financial market infrastructures
What cured the TSX Equity index after COVID-19? Staff analytical note 2021-3 Guillaume Ouellet Leblanc, Jean-Sébastien Fontaine, Ryan Shotlander The TSX index rose by 9.5 percent in November 2020, adding large gains to an already sharp V-shaped recovery. The economic outlook improved at that time as well. We ask whether the stock market gains since last autumn are due to improving forecasts of firms’ earnings. Content Type(s): Staff research, Staff analytical notes JEL Code(s): G, G1, G12, G14 Research Theme(s): Financial markets and funds management, Market functioning, Monetary policy, Real economy and forecasting
Privacy in CBDC technology Staff analytical note 2020-9 Sriram Darbha, Rakesh Arora Privacy is a key aspect of a potential central bank digital currency system. We outline different technical choices to enact various privacy models while complying with the appropriate regulations. We develop a framework to evaluate privacy models and list key risks and trade-offs in privacy design. Content Type(s): Staff research, Staff analytical notes JEL Code(s): E, E4, E42, E5, E51, O, O3 Research Theme(s): Money and payments, Digital assets and fintech, Payment and financial market infrastructures