Forward Guidance and Expectation Formation: A Narrative Approach Staff Working Paper 2020-40 Christopher S. Sutherland How exactly does forward guidance influence interest rate expectations? Content Type(s): Staff research, Staff working papers Research Topic(s): Central bank research, Monetary policy, Monetary policy communications, Monetary policy transmission JEL Code(s): D, D8, D83, D84, E, E3, E37, E5, E52, E58
IMPACT: The Bank of Canada’s International Model for Projecting Activity Technical Report No. 116 Patrick Blagrave, Claudia Godbout, Justin-Damien Guénette, René Lalonde, Nikita Perevalov We present the structure and features of the International Model for Projecting Activity (IMPACT), a global semi-structural model used to conduct projections and policy analysis at the Bank of Canada. Major blocks of the model are developed based on the rational error correction framework of Kozicki and Tinsley (1999), which allows the model to strike a balance between theoretical structure and empirical performance. Content Type(s): Staff research, Technical reports Research Topic(s): Business fluctuations and cycles, Econometric and statistical methods, Economic models, International topics JEL Code(s): C, C6, C68, E, E2, E27, E3, E37, F, F0, F01, F3, F32, F4, F47
How Oil Supply Shocks Affect the Global Economy: Evidence from Local Projections Staff Discussion Paper 2019-6 Olivier Gervais We provide empirical evidence on the impact of oil supply shocks on global aggregates. To do this, we first extract structural oil supply shocks from a standard oil-price determination model found in the literature. Content Type(s): Staff research, Staff discussion papers Research Topic(s): Business fluctuations and cycles, International topics JEL Code(s): C, C2, C22, C5, E, E3, E37, Q, Q4, Q43
Assessing the Resilience of the Canadian Banking System Staff Analytical Note 2019-16 Charles Gaa, Xuezhi Liu, Cameron MacDonald, Xiangjin Shen The stability of the Canadian financial system, as well as its ability to support the Canadian economy, depends on the ability of financial institutions to absorb and manage major shocks. This is especially true for large banks, which perform services essential to the Canadian economy. Content Type(s): Staff research, Staff analytical notes Research Topic(s): Financial institutions, Financial stability JEL Code(s): C, C6, C63, E, E2, E27, E3, E37, E4, E44, G, G0, G01, G2, G21
Potential Output in Canada: 2019 Reassessment Staff Analytical Note 2019-10 Dany Brouillette, Julien Champagne, Carol Khoury, Natalia Kyui, Jeffrey Mollins, Youngmin Park Potential output is expected to grow on average at 1.8 per cent over 2019–21 and at 1.9 per cent in 2022. While the contribution of trend labour input to potential output growth is expected to decrease between 2019 and 2022, the contribution of trend labour productivity is projected to increase. Content Type(s): Staff research, Staff analytical notes Research Topic(s): Labour markets, Potential output, Productivity JEL Code(s): E, E0, E00, E2, E22, E23, E24, E3, E37, E6
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 Research Topic(s): Financial institutions, Financial stability, Housing JEL Code(s): E, E2, E27, E3, E37, E4, E44, G, G2, G21
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 Research Topic(s): Economic models, Financial institutions, Financial stability, Housing JEL Code(s): C, C3, C5, C6, C7, D, D1, E, E0, E00, E2, E27, E3, E37, E4, E47, G, G0, G2, G21
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 Research Topic(s): Econometric and statistical methods, Economic models, Inflation targets, Monetary policy JEL Code(s): C, C3, C32, E, E1, E17, E3, E37
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 Research Topic(s): Econometric and statistical methods, Inflation and prices JEL Code(s): E, E3, E31, E37
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 Research Topic(s): Econometric and statistical methods JEL Code(s): C, C5, C53, E, E3, E37, E5, E52