Preferences, Monetary Policy and Household Inflation Staff working paper 2024-45 Geoffrey R. Dunbar I quantify the importance of changes in household preferences on household inflation rates using 11 years of scanner data for 11,000 US households. My results suggest that changes in household preferences are an important driver of inflation dynamics at the household level. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D1, D12, E, E5, E52, E58 Research Theme(s): Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission, Monetary policy tools and implementation
Frictional Capital Reallocation I: Ex Ante Heterogeneity Staff working paper 2019-4 Randall Wright, Sylvia Xiaolin Xiao, Yu Zhu This paper studies dynamic general equilibrium models where firms trade capital in frictional markets. Gains from trade arise due to ex ante heterogeneity: some firms are better at investment, so they build capital in the primary market; others acquire it in the secondary market. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E22, E4, E44 Research Theme(s): Financial system, Financial institutions and intermediation, Monetary policy, Monetary policy framework and transmission, Monetary policy tools and implementation, Real economy and forecasting
Business Cycles in Small, Open Economies: Evidence from Panel Data Between 1900 and 2013 Staff working paper 2016-48 Thuy Lan Nguyen, Wataru Miyamoto Using a novel data set for 17 countries dating from 1900 to 2013, we characterize business cycles in both small developed and developing countries in a model with financial frictions and a common shock structure. We estimate the model jointly for these 17 countries using Bayesian methods. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E1, E13, E3, E32, F, F4, F41, F44 Research Theme(s): Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission, Real economy and forecasting, Structural challenges, International trade, finance and competitiveness
Estimating the Portfolio-Balance Effects of the Bank of Canada’s Government of Canada Bond Purchase Program Staff working paper 2024-34 Antonio Diez de los Rios Using a novel dynamic portfolio balance model of the yield curve for Government of Canada bonds, I find that the Bank of Canada’s Government of Canada Bond Purchase Program reduced Canadian 10-year and 5-year zero-coupon yields by 84 and 52 basis points, respectively. 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): Financial markets and funds management, Market functioning, Models and tools, Economic models, Monetary policy, Monetary policy tools and implementation
Understanding DeFi Through the Lens of a Production-Network Model Staff working paper 2023-42 Jonathan Chiu, Thorsten Koeppl, Hanna Yu, Shengxing Zhang We develop a production-network model to capture how decentralized finance (DeFi) has evolved across different sectors of financial services. The model allows us to measure the value added by different DeFi sectors and to study how the connections across the sectors influence token prices. Content Type(s): Staff research, Staff working papers JEL Code(s): G, G2 Research Theme(s): Models and tools, Economic models, Money and payments, Digital assets and fintech
Online Privacy and Information Disclosure by Consumers Staff working paper 2019-22 Shota Ichihashi A consumer discloses information to a multi-product seller, which learns about the consumer’s preferences, sets prices, and makes product recommendations. While the consumer benefits from accurate product recommendations, the seller may use the information to price discriminate. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D8, D82, D83 Research Theme(s): Financial markets and funds management, Market functioning, Models and tools, Economic models, Structural challenges, Digitalization and productivity
August 4, 2010 Fellowship Award Annual research grants and expense allowances for a term of up to five years.
December 10, 2013 Margining for Non-Centrally Cleared Over-the-Counter Derivatives Financial System Review - December 2013 Nikil Chande, Stéphane Lavoie, Thomas Thorn Content Type(s): Publications, Financial System Review articles
April 22, 2005 Borders, Common Currencies, Trade, and Welfare: What Can We Learn from the Evidence? Bank of Canada Review - Spring 2005 John F. Helliwell, Lawrence L. Schembri Recent evidence indicates that the intensity of economic exchange within and across borders is significantly different: linkages are much tighter within, than among, nation-states. These findings, however, do not necessarily imply that borders and separate national currencies represent significant barriers to trade that should be removed, since the evidence is also consistent with the alternative hypothesis, that domestic exchange is more efficient because domestic producers are better able to satisfy the requirements of local consumers, owing to common tastes and institutions and the existence of local information and social networks. Focusing primarily on trade linkages within and between Canada and the United States, the authors review the evidence on the extent to which national borders lessen the intensity of international economic linkages, primarily trade in goods and services, and the effects on domestic welfare. They also examine the evidence on the impact of common currencies on trade and welfare. They determine that, since the empirical models employed to date in this research cannot distinguish between alternative explanations of the evidence, it is not yet possible to draw firm conclusions for policy-making. Content Type(s): Publications, Bank of Canada Review articles
The Term Structures of Loss and Gain Uncertainty Staff working paper 2020-19 Bruno Feunou, Ricardo Lopez Aliouchkin, Roméo Tedongap, Lai Xu We investigate the uncertainty around stock returns at different investment horizons. Since a return is either a loss or a gain, we categorize return uncertainty into two components—loss uncertainty and gain uncertainty. We then use these components to evaluate investment. Content Type(s): Staff research, Staff working papers JEL Code(s): G, G1, G12 Research Theme(s): Financial markets and funds management, Market functioning, Models and tools, Econometric, statistical and computational methods