The Effect of Oil Price Shocks on Asset Markets: Evidence from Oil Inventory News Staff working paper 2020-8 Ron Alquist, Reinhard Ellwanger, Jianjian Jin We quantify the reaction of U.S. equity, bond futures, and exchange rate returns to oil price shocks driven by oil inventory news. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D8, D83, E, E4, E44, G, G1, G14, G15, Q, Q4, Q41, Q43 Research Theme(s): Financial markets and funds management, International markets and currencies, Market functioning, Monetary policy, Inflation dynamics and pressures
Demand for Payment Services and Consumer Welfare: The Introduction of a Central Bank Digital Currency Staff working paper 2020-7 Kim Huynh, Jozsef Molnar, Oleksandr Shcherbakov, Qinghui Yu Using a two-stage model, we study the determinants of Canadian consumers’ choices of payment method at the point of sale. We estimate consumer preferences and adoption costs for various combinations of payment methods. We analyze how introducing a central bank digital currency would affect the market equilibrium. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C5, C51, E, E4, E42, L, L1, L14, L5, L52 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Money and payments, Digital assets and fintech, Retail payments
A Portfolio-Balance Model of Inflation and Yield Curve Determination Staff working paper 2020-6 Antonio Diez de los Rios How does the supply of nominal government debt affect the macroeconomy? To answer this question, we propose a portfolio-balance model of the yield curve in which inflation is determined through an interest rate rule. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E4, E43, E5, E52, G, G1, G12, H, H6, H63 Research Theme(s): Models and tools, Economic models, Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission, Monetary policy tools and implementation
Identifying Consumer-Welfare Changes when Online Search Platforms Change Their List of Search Results Staff working paper 2020-5 Ryan Martin Online shopping is often guided by search platforms. Consumers type keywords into query boxes, and search platforms deliver a list of products. Consumers' attention is limited, and exhaustive searches are often impractical. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C14, D, D1, D11, D12, D6, D8, D83, L, L4, L40 Research Theme(s): Financial markets and funds management, Market structure, Models and tools, Econometric, statistical and computational methods
A Spatial Model of Bank Branches in Canada Staff working paper 2020-4 Heng Chen, Matthew Strathearn Using data on bank branch locations across Canada from 2008 to 2018, we explore an interesting aspect of bank branch competition—geographic concentration. We find that bank branch density does not correlate with geographic and market concentration; however, we do find strong correlation with postal-code demographics. Content Type(s): Staff research, Staff working papers JEL Code(s): L, L1, R, R3 Research Theme(s): Financial markets and funds management, Market structure, Financial system, Financial institutions and intermediation
Managing GDP Tail Risk Staff working paper 2020-3 Thibaut Duprey, Alexander Ueberfeldt Models for macroeconomic forecasts do not usually take into account the risk of a crisis—that is, a sudden large decline in gross domestic product (GDP). However, policy-makers worry about such GDP tail risk because of its large social and economic costs. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D8, E, E4, E44, E5, E52, E58, G, G0, G01 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission
Social Learning and Monetary Policy at the Effective Lower Bound Staff working paper 2020-2 Jasmina Arifovic, Alex Grimaud, Isabelle Salle, Gauthier Vermandel This research develops a model in which the economy is directly influenced by how pessimistic or optimistic economic agents are about the future. The agents may hold different views and update them as new economic data become available. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C8, C82, E, E3, E32, E5, E52 Research Theme(s): Models and tools, Economic models, Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission, Monetary policy tools and implementation
Contagion in Dealer Networks Staff working paper 2020-1 Jean-Sébastien Fontaine, Adrian Walton Dealers connect investors who want to buy or sell securities in financial markets. Over time, dealers and investors form trading networks to save time and resources. An emerging field of research investigates how networks form. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E4, G, G1, G2, G21, L, L1, L14 Research Theme(s): Financial markets and funds management, Market functioning, Market structure, Financial system, Financial institutions and intermediation, Financial stability and systemic risk
Monetary Policy and Government Debt Dynamics Without Commitment Staff working paper 2019-52 Dmitry Matveev I show that maturity considerations affect the optimal conduct of monetary and fiscal policy during a period of government debt reduction. I consider a New Keynesian model and study a dynamic game of monetary and fiscal policy authorities without commitment, characterizing the incentives that drive the choice of interest rate. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E5, E52, E6, E62, E63 Research Theme(s): Financial markets and funds management, Funds management, Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission, Monetary policy tools and implementation
Technology Adoption in Input-Output Networks Staff working paper 2019-51 Xintong Han, Lei Xu We study how input-output networks affect the speed of technology adoption. In particular, we model the decision to adopt the programming language Python 3 by software packages. Python 3 provides advanced features but is not backward compatible with Python 2, which implies it comes with adoption costs. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C6, C61, L, L2, L23, L8, L86, O, O1, O14, O3, O33 Research Theme(s): Models and tools, Economic models, Structural challenges, Digitalization and productivity