Disentangling the Factors Driving Housing Resales Staff analytical note 2019-12 Mikael Khan, Taylor Webley We use a recently developed model and loan-level microdata to decompose movements in housing resales since 2015. We find that fundamental factors, namely housing affordability and full-time employment, have had offsetting effects on resales over our study period. Content Type(s): Staff research, Staff analytical notes JEL Code(s): C, C2, C22, E, E2, R, R2, R21 Research Theme(s): Financial system, Financial stability and systemic risk, Household and business credit, Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting
The Neutral Rate in Canada: 2019 Update Staff analytical note 2019-11 Thomas J. Carter, Xin Scott Chen, José Dorich This note provides an update on Bank of Canada staff’s assessment of the Canadian neutral rate. The neutral rate is the policy rate needed to keep output at its potential level and inflation at target once the effects of any cyclical shocks have dissipated. This medium- to long-run concept serves as a benchmark for gauging the degree of monetary stimulus provided by a given policy setting. Content Type(s): Staff research, Staff analytical notes JEL Code(s): E, E4, E40, E43, E5, E50, E52, E58, F, F4, F41 Research Theme(s): Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission
Labor Mobility in a Monetary Union Staff working paper 2019-15 Daniela Hauser, Martin Seneca The optimal currency literature has stressed the importance of labor mobility as a precondition for the success of monetary unions. But only a few studies formally link labor mobility to macroeconomic adjustment and policy. In this paper, we study macroeconomic dynamics and optimal monetary policy in an economy with cyclical labor flows across two distinct regions that share trade links and a common monetary framework. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E3, E32, E5, E52, F, F4 Research Theme(s): Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission, Structural challenges, Demographics and labour supply
Firm-level Investment Under Imperfect Capital Markets in Ukraine Staff working paper 2019-14 Oleksandr Shcherbakov This paper develops and estimates a model of firm-level fixed capital investment when firms face borrowing constraints. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C6, C61, C63, D, D2, D24, G, G3, G31 Research Theme(s): Financial system, Household and business credit, Models and tools, Econometric, statistical and computational methods, Economic models
Global Commodity Markets and Rebalancing in China: The Case of Copper Staff discussion paper 2019-3 Jeannine Bailliu, Doga Bilgin, Kun Mo, Kurt Niquidet, Benjamin Sawatzky Given that China accounts for about half of global copper consumption, it is reasonable to expect that any significant change in Chinese copper consumption will have an impact on the global market. Content Type(s): Staff research, Staff discussion papers JEL Code(s): O, O1, O13, O14, Q, Q0, Q02 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Inflation dynamics and pressures, Real economy and forecasting, Structural challenges, International trade, finance and competitiveness
The Trend Unemployment Rate in Canada: Searching for the Unobservable Staff working paper 2019-13 Dany Brouillette, Marie-Noëlle Robitaille, Laurence Savoie-Chabot, Pierre St-Amant, Bassirou Gueye, Elise Nelson In this paper, we assess several methods that have been used to measure the Canadian trend unemployment rate (TUR). We also consider improvements and extensions to some existing methods. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C5, C52, C53, E, E2, E24, E27 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Monetary policy, Inflation dynamics and pressures, Real economy and forecasting
Do Survey Expectations of Stock Returns Reflect Risk Adjustments? Staff working paper 2019-11 Klaus Adam, Dmitry Matveev, Stefan Nagel Motivated by the observation that survey expectations of stock returns are inconsistent with rational return expectations under real-world probabilities, we investigate whether alternative expectations hypotheses entertained in the literature on asset pricing are consistent with the survey evidence. Content Type(s): Staff research, Staff working papers JEL Code(s): G, G1, G10, G12 Research Theme(s): Financial markets and funds management, Market functioning, Market structure, Models and tools, Econometric, statistical and computational methods, Economic models
Limiting Sender’s Information in Bayesian Persuasion Staff working paper 2019-10 Shota Ichihashi This paper studies how the outcome of Bayesian persuasion depends on a sender’s information. I study a game in which, prior to the sender’s information disclosure, the designer can restrict the most informative signal that the sender can generate. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D8, D82, D83 Research Theme(s): Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission
Inflation Targeting and Liquidity Traps Under Endogenous Credibility Staff working paper 2019-9 Cars Hommes, Joep Lustenhouwer Policy implications are derived for an inflation-targeting central bank, whose credibility is endogenous and depends on its past ability to achieve its targets. This is done in a New Keynesian framework with heterogeneous and boundedly rational expectations. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C6, C62, E, E3, E32, E5, E52 Research Theme(s): Models and tools, Economic models, Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission
Liquidity Management of Canadian Corporate Bond Mutual Funds: A Machine Learning Approach Staff analytical note 2019-7 Rohan Arora, Chen Fan, Guillaume Ouellet Leblanc When redeeming shares for investors, bond fund managers must choose a mix of cash and bond sales to honour their commitments. This note uses machine learning algorithms to uncover new patterns in decisions fund managers make to meet redemptions. Content Type(s): Staff research, Staff analytical notes JEL Code(s): G, G1, G2, G20, G23 Research Theme(s): Financial markets and funds management, Market functioning, Financial system, Financial institutions and intermediation, Models and tools, Econometric, statistical and computational methods