Adverse Selection with Heterogeneously Informed Agents Staff working paper 2018-7 Mohammad Davoodalhosseini A model of over-the-counter markets is proposed. Some asset buyers are informed in that they can identify high quality assets. Heterogeneous sellers with private information choose what type of buyers they want to trade with. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D4, D40, D8, D82, D83, G, G0, G01, G1, G10, G2, G20 Research Theme(s): Financial markets and funds management, Market structure, Financial system, Financial stability and systemic risk, Models and tools, Economic models
Estimating Policy Functions in Payments Systems Using Reinforcement Learning Staff working paper 2021-7 Pablo S. Castro, Ajit Desai, Han Du, Rodney J. Garratt, Francisco Rivadeneyra We demonstrate the ability of reinforcement learning techniques to estimate the best-response functions of banks participating in high-value payments systems—a real-world strategic game of incomplete information. Content Type(s): Staff research, Staff working papers JEL Code(s): A, A1, A12, C, C7, D, D8, D83, E, E4, E42, E5, E58 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Digital assets and fintech, Payment and financial market infrastructures
Dynamic Consumer Cash Inventory Model Staff working paper 2025-22 Kim Huynh, Oleksandr Shcherbakov, André Stenzel We study consumer cash inventory behavior by developing a dynamic model of forward-looking consumers and estimating structural parameters of the model using detailed consumer survey data. Consumers facing holding and withdrawal costs solve a discrete-time continuous-control dynamic programming problem to optimally use cash at the point of sale. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D1, D12, D14, E, E4, E41, E42, G, G2, G21 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Cash and bank notes
Detecting Scapegoat Effects in the Relationship Between Exchange Rates and Macroeconomic Fundamentals Staff working paper 2017-22 Lorenzo Pozzi, Barbara Sadaba This paper presents a new testing method for the scapegoat model of exchange rates that aims to tighten the link between the theory on scapegoats and its empirical implementation. This new testing method consists of a number of steps. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C3, C32, F, F3, F31, G, G1, G15 Research Theme(s): Financial markets and funds management, International markets and currencies, Models and tools, Econometric, statistical and computational methods
The Countercyclical Capital Buffer and International Bank Lending: Evidence from Canada Staff working paper 2021-61 David Xiao Chen, Christian Friedrich We examine the impact of the CCyB on foreign lending activities of Canadian banks. We show that the announcement of a tightening in another country’s CCyB leads to a decrease in the growth rate of cross-border lending between Canadian banks and borrowers in that other country. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E3, E32, F, F2, F21, F3, F32, G, G2, G21, G28 Research Theme(s): Financial markets and funds management, International markets and currencies, Financial system, Financial stability and systemic risk, Financial system regulation and oversight
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
Technological Progress and Monetary Policy: Managing the Fourth Industrial Revolution Staff discussion paper 2019-11 Stephen S. Poloz This paper looks at the implications for monetary policy of the widespread adoption of artificial intelligence and machine learning, which is sometimes called the “fourth industrial revolution.” Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C5, E, E3, O, O1, O11, O3, O33 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission, Structural challenges, Digitalization and productivity
The Role of the International Monetary Fund in the Post-Crisis World Staff discussion paper 2016-6 Mark Kruger, Robert Lavigne, Julie McKay The International Monetary Fund (IMF, or the Fund) has undergone a number of significant policy changes and reforms in the wake of the global financial crisis. Most notably, in December 2015, the United States approved long-delayed legislation to increase the representation of developing countries in the Fund’s governance structure. Content Type(s): Staff research, Staff discussion papers JEL Code(s): F, F3, F33 Research Theme(s): Financial markets and funds management, International markets and currencies, Financial system, Financial stability and systemic risk, Financial system regulation and oversight, Structural challenges, International trade, finance and competitiveness
March 21, 2017 Getting Down to Business: Investment and the Economic Outlook Remarks Lawrence L. Schembri Greater Vancouver Board of Trade Vancouver, British Columbia Deputy Governor Lawrence Schembri discusses the factors affecting business investment and the implications for the economic outlook. Content Type(s): Press, Speeches and appearances, Remarks Subject(s): Funds management, Monetary policy, Economy/Economic growth, Inflation, Inflation targeting framework
Cyber Risk and Security Investment Staff working paper 2022-32 Toni Ahnert, Michael Brolley, David Cimon, Ryan Riordan We develop a principal-agent model of cyber-attacking with fee-paying clients who delegate security decisions to financial platforms. We derive testable implications about clients’ vulnerability to cyber attacks and about the fees charged. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D7, D78, D8, D81, G, G1, G18, G2, G21, G23 Research Theme(s): Financial markets and funds management, Market functioning, Financial system, Financial stability and systemic risk, Financial system regulation and oversight, Money and payments, Digital assets and fintech