Monetary Policy, Credit Constraints and SME Employment Staff working paper 2022-49 Julien Champagne, Émilien Gouin-Bonenfant We revisit an old question: how do financial constraints affect the transmission of monetary policy to the real economy? To answer this question, we propose a simple empirical strategy that combines firm-level employment and balance sheet data, identified monetary policy shocks and survey data on financing activities. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E3, E4, E43, E5, E52, G, G3 Research Theme(s): Financial system, Household and business credit, Monetary policy, Monetary policy framework and transmission, Real economy and forecasting
March 17, 2025 Bank of Canada announces planned changes to its Contingent Term Repo Facility The Bank of Canada is announcing changes to the eligibility criteria and review process for applications for its Contingent Term Repo Facility (CTRF). Content Type(s): Press, Market notices Source(s): Contingent Term Repo Facility
Which Model to Forecast the Target Rate? Staff working paper 2017-60 Bruno Feunou, Jean-Sébastien Fontaine, Jianjian Jin Specifications of the Federal Reserve target rate that have more realistic features mitigate in-sample over-fitting and are favored in the data. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E4, E43 Research Theme(s): Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission, Real economy and forecasting
May 1, 2013 Monetary Policy After the Fall Remarks Mark Carney Eric J. Hanson Memorial Lecture University of Alberta Edmonton, Alberta Bank of Canada Governor Mark Carney discusses the future of monetary policy. Content Type(s): Press, Speeches and appearances, Remarks
Optimal Estimation of Multi-Country Gaussian Dynamic Term Structure Models Using Linear Regressions Staff working paper 2017-33 Antonio Diez de los Rios This paper proposes a novel asymptotic least-squares estimator of multi-country Gaussian dynamic term structure models that is easy to compute and asymptotically efficient, even when the number of countries is relatively large—a situation in which other recently proposed approaches lose their tractability. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E4, E43, F, F3, F31, G, G1, G12, G15 Research Theme(s): Financial markets and funds management, International markets and currencies, Models and tools, Econometric, statistical and computational methods, Economic models
Stability and Efficiency in Decentralized Two‐Sided Markets with Weak Preferences Staff working paper 2017-4 Radoslav Raykov Many decentralized markets are able to attain a stable outcome despite the absence of a central authority (Roth and Vande Vate, 1990). A stable matching, however, need not be efficient if preferences are weak. This raises the question whether a decentralized market with weak preferences can attain Pareto efficiency in the absence of a central matchmaker. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C7, C78, D, D6, D61 Research Theme(s): Financial markets and funds management, Market structure, Models and tools, Economic models
Tail Risk in a Retail Payment System: An Extreme-Value Approach Staff discussion paper 2018-2 Héctor Pérez Saiz, Blair Williams, Gabriel Xerri The increasing importance of risk management in payment systems has led to the development of an array of sophisticated tools designed to mitigate tail risk in these systems. In this paper, we use extreme value theory methods to quantify the level of tail risk in the Canadian retail payment system (ACSS) for the period from 2002 to 2015. Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C5, C58, G, G2, G21, G23 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Econometric, statistical and computational methods, Money and payments, Payment and financial market infrastructures
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
Variance Premium, Downside Risk and Expected Stock Returns Staff working paper 2017-58 Bruno Feunou, Ricardo Lopez Aliouchkin, Roméo Tedongap, Lai Xi We decompose total variance into its bad and good components and measure the premia associated with their fluctuations using stock and option data from a large cross-section of firms. Content Type(s): Staff research, Staff working papers JEL Code(s): G, G1, G12 Research Theme(s): Financial markets and funds management, Market functioning, Market structure, Financial system, Financial institutions and intermediation
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 JEL Code(s): C, C5, C51, C53, E, E3, E32 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting