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
Classical Decomposition of Markowitz Portfolio Selection Staff Working Paper 2020-21 Christopher Demone, Olivia Di Matteo, Barbara Collignon In this study, we enhance Markowitz portfolio selection with graph theory for the analysis of two portfolios composed of either EU or US assets. Using a threshold-based decomposition of their respective covariance matrices, we perturb the level of risk in each portfolio and build the corresponding sets of graphs. Content Type(s): Staff research, Staff working papers Topic(s): Central bank research JEL Code(s): C, C0, C02
Forecasting Recessions in Canada: An Autoregressive Probit Model Approach Staff Working Paper 2024-10 Antoine Poulin-Moore, Kerem Tuzcuoglu We forecast recessions in Canada using an autoregressive (AR) probit model. The results highlight the short-term predictive power of the US economic activity and suggest that financial indicators are reliable predictors of Canadian recessions. In addition, the suggested model meaningfully improves the ability to forecast Canadian recessions, relative to a variety of probit models proposed in the Canadian literature. Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Econometric and statistical methods JEL Code(s): C, C5, C51, C53, E, E3, E32
Managing GDP Tail Risk Staff Working Paper 2020-3 Thibaut Duprey, Alexander Ueberfeldt Models for macroeconomic forecasts do not usually take into account the risk of a crisis—that is, a sudden large decline in gross domestic product (GDP). However, policy-makers worry about such GDP tail risk because of its large social and economic costs. Content Type(s): Staff research, Staff working papers Topic(s): Central bank research, Economic models, Financial stability, Financial system regulation and policies, Interest rates, Monetary policy, Monetary policy framework JEL Code(s): D, D8, E, E4, E44, E5, E52, E58, G, G0, G01
Forecasting Inflation and the Inflation Risk Premiums Using Nominal Yields Staff Working Paper 2012-37 Bruno Feunou, Jean-Sébastien Fontaine We provide a decomposition of nominal yields into real yields, expectations of future inflation and inflation risk premiums when real bonds or inflation swaps are unavailable or unreliable due to their relative illiquidity. Content Type(s): Staff research, Staff working papers Topic(s): Asset pricing, Econometric and statistical methods, Inflation and prices, Interest rates JEL Code(s): E, E4, E43, E47, G, G1, G12
The Macroeconomic Implications of Changes in Bank Capital and Liquidity Requirements in Canada: Insights from the BoC-GEM-FIN Staff Discussion Paper 2010-16 Carlos De Resende, Ali Dib, Nikita Perevalov The authors use simulations within the BoC-GEM-FIN, the Bank of Canada's version of the Global Economy Model with financial frictions in both the demand and supply sides of the credit market, to investigate the macroeconomic implications of changing bank regulations on the Canadian economy. Content Type(s): Staff research, Staff discussion papers Topic(s): Economic models, Financial institutions, Financial stability, International topics JEL Code(s): E, E3, E32, E4, E44, E5, G, G1, G2
State Correlation and Forecasting: A Bayesian Approach Using Unobserved Components Models Staff Working Paper 2018-14 Luis Uzeda Implications for signal extraction from specifying unobserved components (UC) models with correlated or orthogonal innovations have been well investigated. In contrast, the forecasting implications of specifying UC models with different state correlation structures are less well understood. Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Inflation and prices JEL Code(s): C, C1, C11, C15, C5, C51, C53
Earnings Dynamics and Intergenerational Transmission of Skill Staff Working Paper 2020-46 Lance Lochner, Youngmin Park How are your past, current and future earnings related to those of your parents? We explore this by using 37 years of Canadian tax data on two generations. Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Labour markets, Potential output, Productivity JEL Code(s): C, C3, C33, J, J2, J24, J6, J62
October 6, 2016 Economic Trends and Monetary Policy Remarks Carolyn A. Wilkins Université du Québec à Trois-Rivières Trois-Rivières, Quebec Senior Deputy Governor Carolyn Wilkins talks about the major trends of the Canadian economy and how they affect monetary policy. Content Type(s): Press, Speeches and appearances, Remarks Topic(s): Business fluctuations and cycles, Domestic demand and components, Inflation and prices, Monetary policy, Recent economic and financial developments, Regional economic developments
The Financial Origins of Non-fundamental Risk Staff Working Paper 2022-4 Sushant Acharya, Keshav Dogra, Sanjay Singh We explore the idea that the financial sector can be a source of non-fundamental risk to the rest of the economy. We also consider whether policy can be used to reduce this risk—either by increasing the supply of publicly backed safe assets or by reducing the demand for safe assets. Content Type(s): Staff research, Staff working papers Topic(s): Asset pricing, Financial markets, Financial stability JEL Code(s): D, D5, D52, D8, D84, E, E6, E62, G, G1, G10, G12