The Role of Corporate Saving over the Business Cycle: Shock Absorber or Amplifier? Staff working paper 2018-59 Xiaodan Gao, Shaofeng Xu We document countercyclical corporate saving behavior with the degree of countercyclicality varying nonmonotonically with firm size. We then develop a dynamic stochastic general equilibrium model with heterogeneous firms to explain the pattern and study its implications for business cycles. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E20, E22, E3, E32, G, G3, G31, G32 Research Theme(s): Financial system, Financial institutions and intermediation, Household and business credit, 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
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
Price Selection Staff working paper 2018-44 Carlos Carvalho, Oleksiy Kryvtsov We propose a simple, model-free way to measure selection in price setting and its contribution to inflation dynamics. The proposed measure of price selection is based on the observed comovement between inflation and the average level from which adjusting prices depart. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E3, E31, E5, E51 Research Theme(s): Models and tools, Economic models, Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission
Sluggish Forecasts Staff working paper 2018-39 Monica Jain Given the influence that agents’ expectations have on key macroeconomic variables, it is surprising that very few papers have tried to extrapolate agents’ “true” expectations directly from the data. This paper presents one such approach, starting with the hypothesis that there is sluggishness in inflation and real GDP growth forecasts. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E3, E31, E37 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Inflation dynamics and pressures, Real economy and forecasting
Nowcasting Canadian Economic Activity in an Uncertain Environment Staff discussion paper 2018-9 Tony Chernis, Rodrigo Sekkel This paper studies short-term forecasting of Canadian real GDP and its expenditure components using combinations of nowcasts from different models. Starting with a medium-sized data set, we use a suite of common nowcasting tools for quarterly real GDP and its expenditure components. Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C5, C53, E, E3, E37, E5, E52 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting
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