What cured the TSX Equity index after COVID-19? Staff analytical note 2021-3 Guillaume Ouellet Leblanc, Jean-Sébastien Fontaine, Ryan Shotlander The TSX index rose by 9.5 percent in November 2020, adding large gains to an already sharp V-shaped recovery. The economic outlook improved at that time as well. We ask whether the stock market gains since last autumn are due to improving forecasts of firms’ earnings. Content Type(s): Staff research, Staff analytical notes JEL Code(s): G, G1, G12, G14 Research Theme(s): Financial markets and funds management, Market functioning, Monetary policy, Real economy and forecasting
Does US or Canadian Macro News Drive Canadian Bond Yields? Staff analytical note 2018-38 Bruno Feunou, Rodrigo Sekkel, Morvan Nongni-Donfack We show that a large share of low-frequency (quarterly) movements in Canadian government bond yields can be explained by macroeconomic news, even though high-frequency (daily) changes are driven by other shocks. Furthermore, we show that US macro news—not domestic news— explains most of the quarterly variation in Canadian bond yields. Content Type(s): Staff research, Staff analytical notes JEL Code(s): C, C2, C22, E, E4, E43 Research Theme(s): Financial markets and funds management, Market functioning, Monetary policy, Monetary policy framework and transmission, Structural challenges, International trade, finance and competitiveness
Finding a Needle in a Haystack: A Machine Learning Framework for Anomaly Detection in Payment Systems Staff working paper 2024-15 Ajit Desai, Anneke Kosse, Jacob Sharples Our layered machine learning framework can enhance real-time transaction monitoring in high-value payment systems, which are a central piece of a country’s financial infrastructure. When tested on data from Canadian payment systems, it demonstrated potential for accurately identifying anomalous transactions. This framework could help improve cyber and operational resilience of payment systems. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C4, C45, C5, C55, D, D8, D83, E, E4, E42 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Payment and financial market infrastructures
How Far Do Canadians Need to Travel to Access Cash? Staff discussion paper 2023-28 Heng Chen, Daneal O’Habib, Hongyu Xiao This paper develops a travel-based metric to measure Canadians’ access to cash from automated banking machines (ABMs) and financial institution branches. We find that, overall, access to cash remained stable between 2019 and 2022. The total number of ABMs in Canada increased by 3.7% and the total number of branches decreased by 5.2% during that period. Content Type(s): Staff research, Staff discussion papers JEL Code(s): G, G2, G21, J, J1, J15, R, R5, R51 Research Theme(s): Money and payments, Cash and bank notes
The Welfare Effects of Protection: A General Equilibrium Analysis of Canada’s National Policy Staff working paper 2017-18 Patrick Alexander, Ian Keay In this paper, we study the impact of Canada’s adoption of protectionist trade policy in 1879 on Canadian welfare. Under the National Policy the Canadian average weighted tariff increased from 14% to 21%. The conventional view is that this was a distortionary policy that negatively affected Canadian welfare. Content Type(s): Staff research, Staff working papers JEL Code(s): F, F1, F13, F14, F4, F42, F6, F60, N, N7, N71 Research Theme(s): Models and tools, Economic models, Monetary policy, Real economy and forecasting, Structural challenges, International trade, finance and competitiveness
Nowcasting Canadian Economic Activity in an Uncertain Environment Staff discussion paper 2018-9 Tony Chernis, Rodrigo Sekkel This paper studies short-term forecasting of Canadian real GDP and its expenditure components using combinations of nowcasts from different models. Starting with a medium-sized data set, we use a suite of common nowcasting tools for quarterly real GDP and its expenditure components. Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C5, C53, E, E3, E37, E5, E52 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting
Parallel Tempering for DSGE Estimation Staff working paper 2024-13 Joshua Brault I develop a population-based Markov chain Monte Carlo algorithm known as parallel tempering to estimate dynamic stochastic general equilibrium models. Parallel tempering approximates the posterior distribution of interest using a family of Markov chains with tempered posteriors. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C11, C15, E, E1, E10 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models
Global Demand and Supply Sentiment: Evidence from Earnings Calls Staff working paper 2023-37 Temel Taskin, Franz Ulrich Ruch This paper quantifies global demand, supply and uncertainty shocks and compares two major global recessions: the 2008–09 Great Recession and the COVID-19 pandemic. We use two alternate approaches to decompose economic shocks: text mining techniques on earnings calls transcripts and a structural Bayesian vector autoregression model. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C11, C3, C32, E, E3, E32, G, G1, G10 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Inflation dynamics and pressures, Real economy and forecasting
Should Central Banks Worry About Nonlinearities of their Large-Scale Macroeconomic Models? Staff working paper 2017-21 Vadym Lepetyuk, Lilia Maliar, Serguei Maliar How wrong could policymakers be when using linearized solutions to their macroeconomic models instead of nonlinear global solutions? Content Type(s): Staff research, Staff working papers JEL Code(s): C, C6, C61, C63, C68, E, E3, E31, E5, E52 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Monetary policy, Monetary policy framework and transmission
November 11, 2009 The Evolution of Capital Flows to Emerging-Market Economies Bank of Canada Review - Winter 2009-2010 Lena Suchanek, Garima Vasishtha Many emerging-market economies (EMEs) have significantly improved their macroeconomic fundamentals and undergone structural reforms since the Asian crisis. These developments have enhanced the composition of capital flows to EMEs through an improved debt structure, a larger share of capital flows as foreign direct investment, and greater access to international debt markets for corporations in EMEs. Structural changes in the global financial landscape have also increased capital flows, bringing economic and financial benefits to EMEs. During the recent financial crisis, however, the opening up of capital accounts and increased financial and trade linkages left many countries vulnerable to external disruptions. Countries with sound fundamentals have weathered the crisis relatively well. Policy-makers in EMEs need to implement policies that support capital flows and ensure that controls imposed to deal with detrimental outflows during periods of stress or rapid inflows are only temporary. Content Type(s): Publications, Bank of Canada Review articles