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 JEL Code(s): C, C1, C15, C6, C61, C63, C68, C7, E, E1, E13, G, G1, G17, G2, G21 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Econometric, statistical and computational methods, Economic models
November 7, 2001 Monetary Policy Report – November 2001 Two major issues dominate the analysis and policy discussion in this Monetary Policy Report: the nature and extent of the global economic slowdown that began late last year and the consequences of the terrorist attacks in the United States. Content Type(s): Publications, Monetary Policy Report
Let’s Get Physical: Impacts of Climate Change Physical Risks on Provincial Employment Staff working paper 2024-32 Thibaut Duprey, Soojin Jo, Geneviève Vallée We analyze 40 years’ worth of natural disasters using a local projection framework to assess their impact on provincial labour markets in Canada. We find that disasters decrease hours worked within a week and lower wage growth in the medium run. Our study highlights that disasters affect vulnerable workers through the income channel. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C3, C33, E, E2, E24, J, J3, Q, Q5, Q54 Research Theme(s): Monetary policy, Real economy and forecasting, Structural challenges, Climate change, Demographics and labour supply