GDP by Industry in Real Time: Are Revisions Well Behaved? Staff analytical note 2018-40 Patrick Rizzetto The monthly data for real gross domestic product (GDP) by industry are used extensively in real time both to ground the Bank of Canada’s monitoring of economic activity and in the Bank’s nowcasting tools, making these data one of the most important high-frequency time series for Canadian nowcasting. Content Type(s): Staff research, Staff analytical notes JEL Code(s): C, C5, C53, C8, C82, E, E0, E01 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting
An Alternative Estimate of Canadian Potential Output: The Multivariate State-Space Framework Staff discussion paper 2018-14 Lise Pichette, Maria Bernier, Marie-Noëlle Robitaille In this paper, we extend the state-space methodology proposed by Blagrave et al. (2015) and decompose Canadian potential output into trend labour productivity and trend labour input. As in Blagrave et al. (2015), we include output growth and inflation expectations from consensus forecasts to help refine our estimates. Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C5, E, E0, E5 Research Theme(s): Models and tools, Economic models, Monetary policy, Real economy and forecasting
Modelling the Macrofinancial Effects of a House Price Correction in Canada Staff analytical note 2018-36 Thibaut Duprey, Xuezhi Liu, Cameron MacDonald, Maarten van Oordt, Sofia Priazhkina, Xiangjin Shen, Joshua Slive We use a suite of risk-assessment models to examine the possible impact of a hypothetical house price correction, centred in the Toronto and Vancouver areas. We also assume financial stress significantly amplifies the macroeconomic impact of the house price decline. Content Type(s): Staff research, Staff analytical notes JEL Code(s): E, E2, E27, E3, E37, E4, E44, G, G2, G21 Research Theme(s): Financial system, Financial institutions and intermediation, Financial stability and systemic risk, Household and business credit, Models and tools, Economic models
The Framework for Risk Identification and Assessment Technical report No. 113 Cameron MacDonald, Virginie Traclet Risk assessment models are an important component of the Bank’s analytical tool kit for assessing the resilience of the financial system. We describe the Framework for Risk Identification and Assessment (FRIDA), a suite of models developed at the Bank of Canada to quantify the impact of financial stability risks to the broader economy and a range of financial system participants (households, businesses and banks). Content Type(s): Staff research, Technical reports JEL Code(s): C, C3, C5, C6, C7, D, D1, E, E0, E00, E2, E27, E3, E37, E4, E47, G, G0, G2, G21 Research Theme(s): Financial system, Financial institutions and intermediation, Financial stability and systemic risk, Models and tools, Economic models
Non-Performing Loans, Fiscal Costs and Credit Expansion in China Staff working paper 2018-53 Huixin Bi, Yongquan Cao, Wei Dong This paper studies how the credit expansion policy pursued by the Chinese government in an effort to stimulate its economy in the post-crisis period affects bank–firm loan contracts and the macroeconomy. We build a structural model with financial frictions in which the optimal loan contract reflects the trade-off between leverage and the probability of default. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E4, E44, E6, E62 Research Theme(s): Financial system, Financial institutions and intermediation, Household and business credit, Models and tools, Economic models, Monetary policy, Real economy and forecasting
Evaluating the Bank of Canada Staff Economic Projections Using a New Database of Real-Time Data and Forecasts Staff working paper 2018-52 Julien Champagne, Guillaume Poulin-Bellisle, Rodrigo Sekkel We present a novel database of real-time data and forecasts from the Bank of Canada’s staff economic projections. We then provide a forecast evaluation for GDP growth and CPI inflation since 1982: we compare the staff forecasts with those from commonly used time-series models estimated with real-time data and with forecasts from other professional forecasters and provide standard bias tests. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C3, C32, E, E1, E17, E3, E37 Research Theme(s): Models and tools, Economic models, Monetary policy, Inflation dynamics and pressures, Real economy and forecasting
Characterizing the Canadian Financial Cycle with Frequency Filtering Approaches Staff analytical note 2018-34 Andrew Lee-Poy In this note, I use two multivariate frequency filtering approaches to characterize the Canadian financial cycle by capturing fluctuations in the underlying variables with respect to a long-term trend. The first approach is a dynamically weighted composite, and the second is a stochastic cycle model. Content Type(s): Staff research, Staff analytical notes JEL Code(s): C, C0, C01, C1, C13, C14, C18, C3, C32, C5, C51, C52, E, E3, E32, E6, E66, G, G0, G01, G1, G18 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Econometric, statistical and computational methods, Economic models
Introducing a Systematic Measure of Idiosyncratic Prices Staff analytical note 2018-33 Madigan Dockrill, Laurence Savoie-Chabot There is a risk that Bank of Canada staff may inadvertently be biased when analyzing inflation: when inflation surprises on the downside, staff might emphasize negative idiosyncratic factors. When inflation surprises on the upside, staff might emphasize the positive idiosyncratic factors. Content Type(s): Staff research, Staff analytical notes JEL Code(s): E, E3, E31 Research Theme(s): Models and tools, Economic models, Monetary policy, Inflation dynamics and pressures
Monetary Policy Uncertainty: A Tale of Two Tails Staff working paper 2018-50 Tatjana Dahlhaus, Tatevik Sekhposyan We document a strong asymmetry in the evolution of federal funds rate expectations and map this observed asymmetry into measures of monetary policy uncertainty. We show that periods of monetary policy tightening and easing are distinctly related to downside (policy rate is higher than expected) and upside (policy rate is lower than expected) uncertainty. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C18, C3, C32, E, E0, E02, E4, E43, E5, E52 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Monetary policy framework and transmission, Monetary policy tools and implementation, Real economy and forecasting
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