Optimal Monetary Policy According to HANK Staff working paper 2021-55 Sushant Acharya, Edouard Challe, Keshav Dogra We study optimal monetary policy in an analytically tractable Heterogeneous Agent New Keynesian model. In the model, the central bank has an incentive to reduce consumption inequality in addition to keeping economic activity at its efficient level and inflation stable. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E21, E3, E30, E5, E52, E6, E62, E63 Research Theme(s): Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission, Monetary policy tools and implementation
Monetary Policy in an AI-Driven Two-Speed Economy Staff working paper 2026-27 Joshua Brault, Maryam Haghighi, Jing Yang We analyze monetary policy responses to AI in a two-sector New Keynesian model, distinguishing augmentation and automation. Both reduce labor demand, requiring accommodation that creates inflation trade-offs. Automation worsens them. Aggregate inflation depends on AI’s form and breadth, making policy stabilization more complex and aggregate data potentially misleading. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E24, E3, E31, E32, E5, E52, J, J2, J23, O, O3, O33 Research Theme(s): Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission, Structural challenges, Digitalization and productivity
Asymmetric Systemic Risk Staff working paper 2022-19 Radoslav Raykov, Consuelo Silva-Buston Bank regulation presumes risks spill over more easily from large banks to the banking system than vice versa. Interestingly, we observe this is not the case. We find that the capacity to transmit risk is larger in the system-to-bank direction, leading to an increased default risk. Content Type(s): Staff research, Staff working papers JEL Code(s): G, G1, G10, G2, G20 Research Theme(s): Financial system, Financial institutions and intermediation, Financial stability and systemic risk, Financial system regulation and oversight
Following the Money: Evidence for the Portfolio Balance Channel of Quantitative Easing Staff working paper 2018-33 Itay Goldstein, Jonathan Witmer, Jing Yang Recent research suggests that quantitative easing (QE) may affect a broad range of asset prices through a portfolio balance channel. Using novel security-level holding data of individual US mutual funds, we establish evidence that portfolio rebalancing occurred both within and across funds. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E5, E58, G, G2, G23 Research Theme(s): Monetary policy, Monetary policy framework and transmission, Monetary policy tools and implementation
Understanding Firms’ Inflation Expectations Using the Bank of Canada’s Business Outlook Survey Staff working paper 2016-7 Simon Richards, Matthieu Verstraete Inflation expectations are a key determinant of actual and future inflation and thus matter for the conduct of monetary policy. We study how firms form their inflation expectations using quarterly firm-level data from the Bank of Canada’s Business Outlook Survey, spanning the 2001 to 2015 period. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C2, C25, D, D2, D21, D8, D84, E, E3, E31, E5, E52, E58 Research Theme(s): Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission
A Behavioral New Keynesian Model of a Small Open Economy Under Limited Foresight Staff working paper 2023-44 Seunghoon Na, Yinxi Xie This paper studies exchange rate dynamics by incorporating bounded rationality, that is, limited foresight, in a small open-economy model. This behavior of limited foresight helps explain several observations and puzzles in the data of exchange rate movements. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E4, E43, E7, E70, F, F3, F31, F4, F41 Research Theme(s): Financial markets and funds management, International markets and currencies, Models and tools, Economic models, Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission
Cyclicality of Schooling: New Evidence from Unobserved Components Models Staff working paper 2020-38 Barbara Sadaba, Sunčica Vujič, Sofia Maier What is the time-varying impact of economic cycles on decisions to invest in human capital? Content Type(s): Staff research, Staff working papers JEL Code(s): C, C3, C32, E, E3, I, I2, J, J2 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting
On What States Do Prices Depend? Answers from Ecuador Staff working paper 2016-43 Craig Benedict, Mario J. Crucini, Anthony Landry In this paper, we argue that differences in the cost structures across sectors play an important role in firms’ decisions to adjust their prices. We develop a menu-cost model of pricing in which retail firms intermediate trade between producers and consumers. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E3, E5, F, F3, F33 Research Theme(s): Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission
Decomposing Canada’s Market Shares: An Update Staff analytical note 2018-26 Nicholas Labelle Building on the shift-share analysis of Barnett and Charbonneau (2015), this note decomposes Canada’s market shares in the United States, Europe and China for imports of non-energy goods into competitiveness, preference shifts and an interaction term. We find that, despite the depreciation of the dollar, Canada continued to lose market share over 2014–17 (around 0.4 percentage points lost per year on average over four years). Content Type(s): Staff research, Staff analytical notes JEL Code(s): F, F1, F10, F14, F4 Research Theme(s): Monetary policy, Real economy and forecasting, Structural challenges, International trade, finance and competitiveness
Classical Decomposition of Markowitz Portfolio Selection Staff working paper 2020-21 Christopher Demone, Olivia Di Matteo, Barbara Collignon In this study, we enhance Markowitz portfolio selection with graph theory for the analysis of two portfolios composed of either EU or US assets. Using a threshold-based decomposition of their respective covariance matrices, we perturb the level of risk in each portfolio and build the corresponding sets of graphs. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C0, C02 Research Theme(s): Financial markets and funds management, Market functioning, Models and tools, Econometric, statistical and computational methods