Estimating Policy Functions in Payments Systems Using Reinforcement Learning Staff Working Paper 2021-7 Pablo S. Castro, Ajit Desai, Han Du, Rodney 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 Topic(s): Digital currencies and fintech, Financial institutions, Financial system regulation and policies, Payment clearing and settlement systems JEL Code(s): A, A1, A12, C, C7, D, D8, D83, E, E4, E42, E5, E58
Interbank Asset-Liability Networks with Fire Sale Management Staff Working Paper 2020-41 Zachary Feinstein, Grzegorz Halaj Raising liquidity when funding is stressed creates pressure on the financial market. Liquidating large quantities of assets depresses their prices and may amplify funding shocks. How do banks weathering a funding crisis contribute to contagion risk? Content Type(s): Staff research, Staff working papers Topic(s): Financial stability, Financial system regulation and policies, Payment clearing and settlement systems JEL Code(s): C, C6, C62, C63, C7, C72, G, G0, G01, G1, G11
Monetary Payoff and Utility Function in Adaptive Learning Models Staff Working Paper 2019-50 Erhao Xie When players repeatedly face an identical or similar game (e.g., coordination game, technology adoption game, or product choice game), they may learn through experience to perform better in the future. This learning behaviour has important economic implications. Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Economic models JEL Code(s): C, C5, C57, C7, C72, C9, C92
An Application of Shapley Value Cost Allocation to Liquidity Savings Mechanisms Staff Working Paper 2019-26 Rod Garratt Liquidity demands in real-time gross settlement payment systems can be enormous. To reduce the liquidity requirement, central banks around the world have implemented liquidity savings mechanisms (LSMs). Content Type(s): Staff research, Staff working papers Topic(s): Payment clearing and settlement systems JEL Code(s): C, C7, C72, E, E5, E58
The Framework for Risk Identification and Assessment Technical Report No. 113 Cameron MacDonald, Virginie Traclet Risk assessment models are an important component of the Bank’s analytical tool kit for assessing the resilience of the financial system. We describe the Framework for Risk Identification and Assessment (FRIDA), a suite of models developed at the Bank of Canada to quantify the impact of financial stability risks to the broader economy and a range of financial system participants (households, businesses and banks). Content Type(s): Staff research, Technical reports Topic(s): Economic models, Financial institutions, Financial stability, Housing JEL Code(s): C, C3, C5, C6, C7, D, D1, E, E0, E00, E2, E27, E3, E37, E4, E47, G, G0, G2, G21
The MacroFinancial Risk Assessment Framework (MFRAF), Version 2.0 Technical Report No. 111 Jose Fique This report provides a detailed technical description of the updated MacroFinancial Risk Assessment Framework (MFRAF), which replaces the version described in Gauthier, Souissi and Liu (2014) as the Bank of Canada’s stress-testing model for banks with a focus on domestic systemically important banks (D-SIBs). Content Type(s): Staff research, Technical reports Topic(s): Financial stability, Financial system regulation and policies JEL Code(s): C, C7, C72, E, E5, E58, G, G0, G01, G2, G21, G28
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 Topic(s): Economic models JEL Code(s): C, C7, C78, D, D6, D61
Information Sharing and Bargaining in Buyer-Seller Networks Staff Working Paper 2016-63 Sofia Priazhkina, Frank H. Page This paper presents a model of strategic buyer-seller networks with information exchange between sellers. Prior to engaging in bargaining with buyers, sellers can share access to buyers for a negotiated transfer. We study how this information exchange affects overall market prices, volumes and welfare, given different initial market conditions and information sharing rules. Content Type(s): Staff research, Staff working papers Topic(s): Economic models, Firm dynamics, Market structure and pricing JEL Code(s): C, C7, C71, C78, D, D2, D21, D4, D43, D8, D85, L, L1, L13
Quantifying Contagion Risk in Funding Markets: A Model-Based Stress-Testing Approach Staff Working Paper 2015-32 Kartik Anand, Céline Gauthier, Moez Souissi We propose a tractable, model-based stress-testing framework where the solvency risks, funding liquidity risks and market risks of banks are intertwined. Content Type(s): Staff research, Staff working papers Topic(s): Financial stability, Financial system regulation and policies JEL Code(s): C, C7, C72, E, E5, E58, G, G0, G01, G2, G21, G28
Efficiency and Bargaining Power in the Interbank Loan Market Staff Working Paper 2012-29 Jason Allen, James Chapman, Federico Echenique, Matthew Shum Using detailed loan transactions-level data we examine the efficiency of an overnight interbank lending market, and the bargaining power of its participants. Our analysis relies on the equilibrium concept of the core, which imposes a set of no-arbitrage conditions on trades in the market. Content Type(s): Staff research, Staff working papers Topic(s): Financial institutions, Payment clearing and settlement systems JEL Code(s): C, C7, C71, E, E5, E58, G, G2, G21, G28