Generalized Autoregressive Gamma Processes Staff Working Paper 2023-40 Bruno Feunou We introduce generalized autoregressive gamma (GARG) processes, a class of autoregressive and moving-average processes in which each conditional moment dynamic is driven by a different and identifiable moving average of the variable of interest. We show that using GARG processes reduces pricing errors by substantially more than using existing autoregressive gamma processes does. Content Type(s): Staff research, Staff working papers Research Topic(s): Asset pricing, Econometric and statistical methods JEL Code(s): C, C5, C58, G, G1, G12
Vertical Specialization and Gains from Trade Staff Working Paper 2017-17 Patrick Alexander Multi-stage production is widely recognized as an important feature of the modern global economy. This feature has been incorporated into many state-of-the-art quantitative trade models, and has been shown to deliver significant additional gains from international trade. Content Type(s): Staff research, Staff working papers Research Topic(s): Economic models, International topics, Trade integration JEL Code(s): F, F1, F11, F14, F6, F60
When Bad Things Happen to Good Banks: Contagious Bank Runs and Currency Crises Staff Working Paper 2004-18 Raphael Solomon The author develops a twin crisis model featuring multiple banks. Content Type(s): Staff research, Staff working papers Research Topic(s): Exchange rates, Financial institutions JEL Code(s): E, E5, E58, F, F3, F30, G, G2, G21
Monetary Policy Under Uncertainty: Practice Versus Theory Staff Discussion Paper 2017-13 Rhys R. Mendes, Stephen Murchison, Carolyn A. Wilkins For central banks, conducting policy in an environment of uncertainty is a daily fact of life. This uncertainty can take many forms, ranging from incomplete knowledge of the correct economic model and data to future economic and geopolitical events whose precise magnitudes and effects cannot be known with certainty. Content Type(s): Staff research, Staff discussion papers Research Topic(s): Monetary policy, Monetary policy and uncertainty JEL Code(s): E, E5, E52, E58, E6, E61, E65
Survival Analysis of Bank Note Circulation: Fitness, Network Structure and Machine Learning Staff Working Paper 2020-33 Diego Rojas, Juan Estrada, Kim Huynh, David T. Jacho-Chávez Using the Bank of Canada's Currency Information Management Strategy, we analyze the network structure traced by a bank note’s travel in circulation and find that the denomination of the bank note is important in our potential understanding of the demand and use of cash. Content Type(s): Staff research, Staff working papers Research Topic(s): Bank notes, Econometric and statistical methods, Payment clearing and settlement systems JEL Code(s): C, C5, C52, C6, C65, C8, C81, E, E4, E42, E5, E51
Exponentials, Polynomials, and Fourier Series: More Yield Curve Modelling at the Bank of Canada Staff Working Paper 2002-29 David Bolder, Scott Gusba This paper continues the work started by Bolder and Stréliski (1999) and considers two alternative classes of models for extracting zero-coupon and forward rates from a set of observed Government of Canada bond and treasury-bill prices. Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Financial markets, Interest rates JEL Code(s): C, C0, C6, E, E4, G, G1
Wealth, Disposable Income and Consumption: Some Evidence for Canada Technical Report No. 71 Tiff Macklem The author develops a measure of aggregate private sector wealth in Canada and examines its ability to explain aggregate consumption of non-durables and services. This wealth measure includes financial, physical and human wealth. The author measures human wealth as the expected present value of aggregate labour income, net of government expenditures, based on a discrete […] Content Type(s): Staff research, Technical reports Research Topic(s): Domestic demand and components JEL Code(s): D, D9, D91, E, E2, E21
Using Payments Data to Nowcast Macroeconomic Variables During the Onset of COVID-19 Staff Working Paper 2021-2 James Chapman, Ajit Desai We use retail payment data in conjunction with machine learning techniques to predict the effects of COVID-19 on the Canadian economy in near-real time. Our model yields a significant increase in macroeconomic prediction accuracy over a linear benchmark model. Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Payment clearing and settlement systems JEL Code(s): C, C5, C53, C55, E, E3, E37, E4, E42, E5, E52
Output Comovement and Inflation Dynamics in a Two-Sector Model with Durable Goods: The Role of Sticky Information and Heterogeneous Factor Markets Staff Working Paper 2016-36 Tomiyuki Kitamura, Tamon Takamura In a simple two-sector New Keynesian model, sticky prices generate a counterfactual negative comovement between the output of durable and nondurable goods following a monetary policy shock. We show that heterogeneous factor markets allow any combination of strictly positive price stickiness to generate positive output comovement. Content Type(s): Staff research, Staff working papers Research Topic(s): Inflation and prices, Monetary policy transmission JEL Code(s): E, E3, E31, E32, E5, E52
Monetary Policy Transmission amid Demand Reallocations Staff Working Paper 2024-42 Julien Bengui, Lu Han, Gaelan MacKenzie We analyze the transmission of monetary policy during different phases of a sectoral demand reallocation episode when there are frictions to increasing production in a sector. Monetary policy is more effective in reducing inflation when a larger proportion of sectors are expanding or expect to expand in the near future. Content Type(s): Staff research, Staff working papers Research Topic(s): Domestic demand and components, Inflation and prices, Monetary policy transmission JEL Code(s): E, E1, E12, E2, E24, E3, E31, E5, E52