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 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
Eggs in One Basket: Security and Convenience of Digital Currencies Staff Working Paper 2021-6 Charles M. Kahn, Francisco Rivadeneyra, Tsz-Nga Wong Digital currencies store balances in anonymous electronic addresses. This paper analyzes the trade-offs between the safety and convenience of aggregating balances in addresses, electronic wallets and banks. Content Type(s): Staff research, Staff working papers Topic(s): Central bank research, Digital currencies and fintech, Financial services, Payment clearing and settlement systems JEL Code(s): E, E4, E42, E5, E51, E58
(Optimal) Monetary Policy with and without Debt Staff Working Paper 2021-5 Boris Chafwehé, Rigas Oikonomou, Romanos Priftis, Lukas Vogel How should policy be designed at high debt levels, when fiscal authorities have little room to adjust taxes? Assigning the monetary authority a role in achieving debt sustainability makes it less effective in stabilizing inflation and output. Content Type(s): Staff research, Staff working papers Topic(s): Economic models, Fiscal policy, Monetary policy, Monetary policy framework JEL Code(s): C, C1, C11, E, E3, E31, E5, E52, E58, E6, E62
Networking the Yield Curve: Implications for Monetary Policy Staff Working Paper 2021-4 Tatjana Dahlhaus, Julia Schaumburg, Tatevik Sekhposyan We study how different monetary policies affect the yield curve and interact. Our study highlights the importance of the spillover structure across the yield curve for policy-making. Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Interest rates, Monetary policy implementation JEL Code(s): C, C1, C18, C2, C21, C5, C53, E, E4, E43, E44, E5, E52
Chinese Monetary Policy and Text Analytics: Connecting Words and Deeds Staff Working Paper 2021-3 Jeannine Bailliu, Xinfen Han, Barbara Sadaba, Mark Kruger What are the main drivers behind the monetary policy reaction function of the People’s Bank of China? Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, International topics, Monetary policy communications, Monetary policy framework JEL Code(s): C, C6, C63, E, E5, E52, E58
Using Payments Data to Nowcast Macroeconomic Variables During the Onset of COVID-19 Staff Working Paper 2021-2 James Chapman, Ajit Desai We use retail payment data in conjunction with machine learning techniques to predict the effects of COVID-19 on the Canadian economy in near-real time. Our model yields a significant increase in macroeconomic prediction accuracy over a linear benchmark model. Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Payment clearing and settlement systems JEL Code(s): C, C5, C53, C55, E, E3, E37, E4, E42, E5, E52
Allocative Efficiency and the Productivity Slowdown Staff Working Paper 2021-1 Lin Shao, Rongsheng Tang In our analysis of the US productivity slowdown in the 1970s and 2000s, we find that a significant portion of this deceleration can be attributed to a lack of improvement in allocative efficiency across sectors. Our analysis further identifies increased sector-level volatility as a major contributor to this lack of improvement in allocative efficiency. Content Type(s): Staff research, Staff working papers Topic(s): Economic models, Productivity JEL Code(s): E, E2, E23, O, O4, O47
Consumer Credit with Over-optimistic Borrowers Staff Working Paper 2020-57 Florian Exler, Igor Livshits, James (Jim) C. MacGee, Michèle Tertilt When lenders cannot directly identify behavioural and rational borrowers, they use type scoring to track the likelihood of a borrower’s type. This leads to the partial pooling of borrowers, which results in rational borrowers subsidizing borrowing costs for behavioural borrowers. This, in turn, reduces the effectiveness of regulatory policies that target mistakes by behavioural borrowers. Content Type(s): Staff research, Staff working papers Topic(s): Credit and credit aggregates, Credit risk management, Financial system regulation and policies JEL Code(s): E, E2, E21, E4, E49, G, G1, G18, K, K3, K35
Losing Contact: The Impact of Contactless Payments on Cash Usage Staff Working Paper 2020-56 Marie-Hélène Felt Contactless payment cards are a competitive alternative to cash. Using Canadian panel data from 2010 to 2017, this study investigates whether contactless credit cards are an important contributor to the decline in the transactional use of cash. Content Type(s): Staff research, Staff working papers Topic(s): Bank notes, Digital currencies and fintech, Econometric and statistical methods, Financial services JEL Code(s): C, C3, C33, D, D1, D12, E, E4, E41
Strategic Uncertainty in Financial Markets: Evidence from a Consensus Pricing Service Staff Working Paper 2020-55 Lerby Ergun, Andreas Uthemann We look at the informational content of consensus pricing in opaque over-the-counter markets. We show that the availability of price data informs participants mainly about other participants’ valuations, rather than about the value of a financial security. Content Type(s): Staff research, Staff working papers Topic(s): Financial institutions, Financial markets, Market structure and pricing JEL Code(s): C, C5, C58, D, D5, D53, D8, D83, G, G1, G12, G14