Bitcoin Adoption and Beliefs in Canada Staff working paper 2021-60 Daniela Balutel, Christopher Henry, Jorge Vásquez, Marcel Voia Using an economic model as well as survey data from the Bank of Canada, we study what factors influence the adoption of Bitcoin in Canada. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D8, D83, O, O3, O33 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Money and payments, Digital assets and fintech
The Government of Canada Debt Securities Data Set Technical report No. 112 Jeffrey Gao, Francisco Rivadeneyra, Gabriel Rodriguez Rondon We present the daily time series of the outstanding amounts of all Government of Canada marketable debt securities from July 2001 to June 2017. Content Type(s): Staff research, Technical reports JEL Code(s): C, C8, C80, G, G1, G10, H, H6, H63 Research Theme(s): Financial markets and funds management, Funds management, Models and tools, Econometric, statistical and computational methods
Monetary Policy Independence and the Strength of the Global Financial Cycle Staff working paper 2020-25 Christian Friedrich, Pierre Guérin, Danilo Leiva-Leon We propose a new strength measure of the global financial cycle by estimating a regime-switching factor model on cross-border equity flows for 61 countries. We then assess how the strength of the global financial cycle affects monetary policy independence, which is defined as the response of central banks' policy interest rates to exogenous changes in inflation. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E4, E5, F, F3, F32, F4, F42, G, G1, G15, G18 Research Theme(s): Financial system, Financial stability and systemic risk, Monetary policy, Monetary policy framework and transmission, Structural challenges, International trade, finance and competitiveness
Time-Varying Crash Risk: The Role of Stock Market Liquidity Staff working paper 2016-35 Peter Christoffersen, Bruno Feunou, Yoontae Jeon, Chayawat Ornthanalai We estimate a continuous-time model with stochastic volatility and dynamic crash probability for the S&P 500 index and find that market illiquidity dominates other factors in explaining the stock market crash risk. While the crash probability is time-varying, its dynamic depends only weakly on return variance once we include market illiquidity as an economic variable in the model. Content Type(s): Staff research, Staff working papers JEL Code(s): G, G0, G01, G1, G12 Research Theme(s): Financial markets and funds management, Market functioning, Market structure, Financial system, Financial stability and systemic risk, Models and tools, Econometric, statistical and computational methods
Capital Structure, Pay Structure and Job Termination Staff working paper 2016-12 Jason Allen, James R. Thompson We develop a model to analyze the link between financial leverage, worker pay structure and the risk of job termination. Contrary to the conventional view, we show that even in the absence of any agency problem among workers, variable pay can be optimal despite workers being risk averse and firms risk neutral. Content Type(s): Staff research, Staff working papers JEL Code(s): G, G2, G24, J, J3, J33 Research Theme(s): Financial markets and funds management, Market functioning, Financial system, Financial institutions and intermediation, Household and business credit, Models and tools, Economic models
Short-Run Dynamics in a Search-Theoretic Model of Monetary Exchange Staff working paper 2020-48 Jonathan Chiu, Miguel Molico We study the short-run effects of monetary policy using a search-theoretic monetary model in which agents are subject to idiosyncratic shocks and aggregate monetary shocks. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E4, E40, E5, E50 Research Theme(s): Models and tools, Economic models, Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission, Monetary policy tools and implementation
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
Testing Collusion and Cooperation in Binary Choice Games Staff working paper 2023-58 Erhao Xie This paper studies the testable implication of players’ collusive or cooperative behaviour in a binary choice game with complete information. I illustrate the implementation of this test by revisiting the entry game between Walmart and Kmart. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C5, C57, L, L1, L13 Research Theme(s): Financial markets and funds management, Market structure, Models and tools, Econometric, statistical and computational methods
September 14, 2010 Bundesbank Lecture 2010: The Economic Consequences of the Reforms Remarks Mark Carney Deutsche Bundesbank Berlin, Germany Keynes wrote prophetically of the economic consequences of the Treaty of Versailles. Could the same be said of current financial reforms? Are policy-makers taking for granted the essential role performed by finance in a vain pursuit of its risk-proofing? Content Type(s): Press, Speeches and appearances, Remarks
Concentration in the market of authorized participants of US fixed-income exchange-traded funds Staff analytical note 2020-27 Rohan Arora, Sébastien Betermier, Guillaume Ouellet Leblanc, Adriano Palumbo, Ryan Shotlander We show that a small number of authorized participants (APs) actively create and redeem shares of US-listed fixed-income exchange-traded funds (FI-ETFs). In 2019, three APs performed 82 percent of gross creations and redemptions of FI-ETF shares. In contrast, the group of active APs for equity ETFs was much more diverse. Content Type(s): Staff research, Staff analytical notes JEL Code(s): G, G1, G2, G20, G23 Research Theme(s): Financial markets and funds management, Market functioning, Market structure, Financial system, Financial stability and systemic risk