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 Research Topic(s): Econometric and statistical methods, Economic models, Firm dynamics 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 Research Topic(s): Econometric and statistical methods, International topics 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 Research Topic(s): Business fluctuations and cycles, Economic models, Inflation and prices, Labour markets 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 Research Topic(s): Asset pricing, Economic models, Financial markets 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
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 Research Topic(s): Financial markets, Financial stability 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
Canada’s Monetary Policy Report: If Text Could Speak, What Would It Say? Staff analytical note 2019-5 André Binette, Dmitri Tchebotarev This note analyzes the evolution of the narrative in the Bank of Canada’s Monetary Policy Report (MPR). It presents descriptive statistics on the core text, including length, most frequently used words and readability level—the three Ls. Although each Governor of the Bank of Canada focuses on the macroeconomic events of the day and the mandate of inflation targeting, we observe that the language used in the MPR varies somewhat from one Governor’s tenure to the next. Content Type(s): Staff research, Staff analytical notes Research Topic(s): Central bank research, Monetary policy JEL Code(s): E, E0, E02, E5, E52 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Monetary policy framework and transmission, Real economy and forecasting
Inference in Games Without Nash Equilibrium: An Application to Restaurants’ Competition in Opening Hours Staff working paper 2018-60 Erhao Xie This paper relaxes the Bayesian Nash equilibrium (BNE) assumption commonly imposed in empirical discrete choice games with incomplete information. Instead of assuming that players have unbiased/correct expectations, my model treats a player’s belief about the behavior of other players as an unrestricted unknown function. I study the joint identification of belief and payoff functions. Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Market structure and pricing JEL Code(s): C, C5, C57, L, L1, L13, L8, L85 Research Theme(s): Financial markets and funds management, Market structure, Models and tools, Econometric, statistical and computational methods
2017 Methods-of-Payment Survey: Sample Calibration and Variance Estimation Technical report No. 114 Heng Chen, Marie-Hélène Felt, Christopher Henry This technical report describes sampling, weighting and variance estimation for the Bank of Canada’s 2017 Methods-of-Payment Survey. Under quota sampling, a raking ratio method is implemented to generate weights with both post-stratification and nonparametric nonresponse weight adjustments. Content Type(s): Staff research, Technical reports Research Topic(s): Econometric and statistical methods JEL Code(s): C, C8, C81, C83 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Retail payments
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 Research Topic(s): Business fluctuations and cycles, Central bank research, Econometric and statistical methods 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
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 Research Topic(s): Business fluctuations and cycles, Econometric and statistical methods, Financial stability, Monetary and financial indicators, Recent economic and financial developments 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