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
Learning, Equilibrium Trend, Cycle, and Spread in Bond Yields Staff working paper 2020-14 Guihai Zhao This equilibrium model explains the trend in long-term yields and business-cycle movements in short-term yields and yield spreads. The less-frequent inverted yield curves (and less-frequent recessions) after the 1990s are due to recent secular stagnation and procyclical inflation expectations. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E4, E43, G, G0, G00, G1, G12 Research Theme(s): Financial markets and funds management, Market functioning, Models and tools, Economic models, Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission
Behavioral Learning Equilibria in New Keynesian Models Staff working paper 2022-42 Cars Hommes, Kostas Mavromatis, Tolga Özden, Mei Zhu We introduce behavioral learning equilibria (BLE) into DSGE models with boundedly rational agents using simple but optimal first order autoregressive forecasting rules. The Smets-Wouters DSGE model with BLE is estimated and fits well with inflation survey expectations. As a policy application, we show that learning requires a lower degree of interest rate smoothing. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C11, D, D8, D83, D84, E, E3, E6, E62 Research Theme(s): Models and tools, Economic models, Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission
The Role of International Financial Integration in Monetary Policy Transmission Staff working paper 2024-3 Jing Cynthia Wu, Yinxi Xie, Ji Zhang We propose an open-economy New Keynesian model with financial integration that allows financial intermediaries to hold foreign long-term bonds. We study the implications of financial integration on monetary policy transmission. Among various aspects of financial integration, the bond duration plays a major role. These results hold for conventional and unconventional monetary policies. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E4, E44, E5, E52, F, F3, F36, F4, F42 Research Theme(s): Financial system, Financial institutions and intermediation, Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission, Structural challenges, International trade, finance and competitiveness
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