Quantum Monte Carlo for Economics: Stress Testing and Macroeconomic Deep Learning Staff Working Paper 2022-29 Vladimir Skavysh, Sofia Priazhkina, Diego Guala, Thomas Bromley Using the quantum Monte Carlo algorithm, we study whether quantum computing can improve the run time of economic applications and challenges in doing so. We apply the algorithm to two models: a stress testing bank model and a DSGE model solved with deep learning. We also present innovations in the algorithm and benchmark it to classical Monte Carlo. Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Central bank research, Econometric and statistical methods, Economic models, Financial stability JEL Code(s): C, C1, C15, C6, C61, C63, C68, C7, E, E1, E13, G, G1, G17, G2, G21
Assessing global potential output growth and the US neutral rate: April 2022 Staff Analytical Note 2022-4 Kyle Boutilier, Thomas J. Carter, Xin Scott Chen, Eshini Ekanayake, Louis Poirier, Peter Shannon, Akash Uppal, Lin Xiang We expect global potential output growth to increase from 2.7% in 2021 to 2.9% by 2024. Compared with the April 2021 assessment, global potential output growth is marginally slower. The current range for the US neutral rate is 2% to 3%, 0.25 percentage points higher than staff’s last assessment. Content Type(s): Staff research, Staff analytical notes Topic(s): Interest rates, Monetary policy, Potential output, Productivity JEL Code(s): E, E1, E2, E4, E5, F, F0, O, O4
ToTEM III: The Bank of Canada’s Main DSGE Model for Projection and Policy Analysis Technical Report No. 119 Paul Corrigan, Hélène Desgagnés, José Dorich, Vadym Lepetyuk, Wataru Miyamoto, Yang Zhang ToTEM III is the most recent generation of the Bank of Canada’s main dynamic stochastic general equilibrium model for projection and policy analysis. The model helps Bank staff tell clear and coherent stories about the Canadian economy’s current state and future evolution. Content Type(s): Staff research, Technical reports Topic(s): Business fluctuations and cycles, Economic models, Housing, Interest rates, Monetary policy JEL Code(s): E, E1, E17, E2, E20, E3, E30, E4, E40, E5, E50, E6, E62, E65, F, F4, F40, F41, G, G5, G51
Can regulating bank capital help prevent and mitigate financial downturns? Staff Analytical Note 2021-12 Alejandro García, Josef Schroth Countercyclical capital buffers are regulatory measures developed in response to the global financial crisis of 2008–09. This note focuses on how time-varying capital buffers can improve financial stability in Canada Content Type(s): Staff research, Staff analytical notes Topic(s): Business fluctuations and cycles, Credit and credit aggregates, Credit risk management, Financial stability, Financial system regulation and policies, Lender of last resort JEL Code(s): E, E1, E13, E3, E32, E4, E44
Assessing global potential output growth and the US neutral rate: April 2021 Staff Analytical Note 2021-5 Thomas J. Carter, Xin Scott Chen, Ali Jaffery, Christopher Hajzler, Jonathan Lachaine, Peter Shannon, Subrata Sarker, Graeme Westwood, Beiling Yan We expect global potential output growth to rise to 3 percent by 2022. Relative to the last assessment in October 2020, potential output growth has been revised up across all the regions. The range of the US neutral rate remains unchanged relative to the autumn 2020 assessment. Content Type(s): Staff research, Staff analytical notes Topic(s): Interest rates, Monetary policy, Potential output, Productivity JEL Code(s): E, E1, E2, E4, E5, F, F0, O, O4
A Macroeconomic Model of an Epidemic with Silent Transmission and Endogenous Self-isolation Staff Working Paper 2020-50 Antonio Diez de los Rios We study the interaction between epidemics and economic decisions in a model that has silent transmission of the virus. We find that rational behaviour strongly diminishes the severity of the epidemic but worsens the economic recession. We also find that the detection and isolation of not only symptomatic individuals but also those who are infected and asymptomatic or mildly symptomatic can reduce the severity of the recession caused by the pandemic. Content Type(s): Staff research, Staff working papers Topic(s): Coronavirus disease (COVID-19), Economic models JEL Code(s): E, E1, H, H0, I, I1
Assessing Global Potential Output Growth: October 2020 Staff Discussion Paper 2020-10 Xin Scott Chen, Ali Jaffery, Guillaume Nolin, Karim Salhab, Peter Shannon, Subrata Sarker This paper presents updated estimates of potential output growth for the global economy through 2022. Global potential output growth is expected to decline sharply in the aftermath of the COVID-19 pandemic and recover partially by the end of the projection horizon of the October 2020 Monetary Policy Report. Content Type(s): Staff research, Staff discussion papers Topic(s): Potential output, Productivity JEL Code(s): E, E1, E10, E2, E20, O, O4
Identifying Aggregate Shocks with Micro-level Heterogeneity: Financial Shocks and Investment Fluctuation Staff Working Paper 2020-17 Xing Guo This paper identifies aggregate financial shocks and quantifies their effects on business investment based on an estimated DSGE model with firm-level heterogeneity. On average, financial shocks contribute only 3% of the variation in U.S. public firms’ aggregate investment. Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Firm dynamics JEL Code(s): E, E1, E12, E2, E22, G, G3, G31, G32
The Power of Helicopter Money Revisited: A New Keynesian Perspective Staff Discussion Paper 2020-1 Thomas J. Carter, Rhys R. Mendes We analyze money financing of fiscal transfers (helicopter money) in two simple New Keynesian models: a “textbook” model in which all money is non-interest-bearing (e.g., all money is currency), and a more realistic model with interest-bearing reserves. Content Type(s): Staff research, Staff discussion papers Topic(s): Credibility, Economic models, Fiscal policy, Inflation targets, Interest rates, Monetary policy, Monetary policy and uncertainty, Monetary policy framework, Monetary policy transmission JEL Code(s): E, E1, E12, E4, E41, E43, E5, E51, E52, E58, E6, E61, E63
Assessing Global Potential Output Growth: April 2019 Staff Analytical Note 2019-13 Fares Bounajm, Jean-Philippe Cayen, Michael Francis, Christopher Hajzler, Kristina Hess, Guillaume Poulin-Bellisle, Peter Selcuk This note presents the updated estimates of potential output growth for the global economy through 2021. Global potential output is expected to grow by 3.3 per cent per year over the projection horizon. Content Type(s): Staff research, Staff analytical notes Topic(s): International topics, Potential output, Productivity JEL Code(s): E, E1, E10, E2, E20, O, O4