August 15, 2001 Analyzing the Monetary Aggregates Bank of Canada Review - Summer 2001 Dinah Maclean In recent years, the Bank has put renewed emphasis on analyzing monetary variables and on developing models that incorporate money as an active part of the transmission mechanism. In this article, Dinah Maclean describes how the monetary aggregates are used in the formulation of monetary policy analysis at the Bank, outlining the key tools and models used. The most important money-based model currently in use is the M1-VECM. In this model, deviations in the money supply from the long-term demand for money cause changes in inflation. The author briefly describes the "active-money" paradigm underlying this model and explains the key equations within it. Other simpler empirical models are also outlined, including single-equation indicator models for output based on the narrow aggregates, a neural network, and a model based on the broader aggregate M2++. A detailed technical annex provides details on model equations and coefficient values. Content Type(s): Publications, Bank of Canada Review articles
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
Monetary Policy Transmission to Small Business Loan Performance: Evidence from Loan-Level Data Staff working paper 2024-41 Rodrigo Sekkel, Tamon Takamura, Yaz Terajima We analyze the dynamic and heterogeneous responses of small-business loan performance to a monetary-policy shock using loan-level data in Canada. We find evidence of monetary policy transmission through the cash-flow channel and the aggregate demand channel as well as some, though limited, impact of collateral to discipline loan repayment. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C3, C32, E, E1, E17, E3, E37, E5, E52 Research Theme(s): Financial system, Household and business credit, Monetary policy, Monetary policy framework and transmission
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
Downward Nominal Wage Rigidity in Canada: Evidence Against a “Greasing Effect” Staff working paper 2017-31 Joel Wagner The existence of downward nominal wage rigidity (DNWR) has often been used to justify a positive inflation target. It is traditionally assumed that positive inflation could “grease the wheels” of the labour market by putting downward pressure on real wages, easing labour market adjustments during a recession. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E24, E5, E52 Research Theme(s): Monetary policy, Inflation dynamics and pressures, Real economy and forecasting
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
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
Market structure of cryptoasset exchanges: Introduction, challenges and emerging trends Staff analytical note 2024-2 Vladimir Skavysh, Jacob Sharples, Sofia Priazhkina, Salman H. Hasham This paper provides an overview of cryptoasset exchanges. We contrast their design with exchanges in traditional financial markets and discuss emerging regulatory trends and innovations aimed at solving the problems cryptoasset exchanges face. Content Type(s): Staff research, Staff analytical notes JEL Code(s): G, G1, G15, L, L1 Research Theme(s): Financial markets and funds management, Market structure, Money and payments, Digital assets and fintech
The Determinants of Consumers’ Inflation Expectations: Evidence from the US and Canada Staff working paper 2020-52 Charles Bellemare, Rolande Kpekou Tossou, Kevin Moran We compare the determinants of consumer inflation expectations in the US and Canada by analyzing two current surveys. We find that Canadian consumers rely more on professional forecasts and the history of actual inflation when forming their expectations, while US consumers rely more on their own lagged expectations. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C3, C33, D, D8, D83, D84, E, E3, E31 Research Theme(s): Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission