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2191 Results

How Do Agents Form Macroeconomic Expectations? Evidence from Inflation Uncertainty

Staff working paper 2024-5 Tao Wang
The uncertainty regarding inflation that is observed in density forecasts of households and professionals helps macroeconomists understand the formation mechanism of inflation expectations. Shocks to inflation take time to be perceived by all agents in the economy, and such rigidity is lower in a high-inflation environment.

Should Bank Capital Regulation Be Risk Sensitive?

Staff working paper 2018-48 Toni Ahnert, James Chapman, Carolyn A. Wilkins
We present a simple model to study the risk sensitivity of capital regulation. A banker funds investment with uninsured deposits and costly capital, where capital resolves a moral hazard problem in the banker’s choice of risk.
May 14, 1998

Recent developments in the monetary aggregates and their implications

This article examines the developments in the monetary aggregates over the course of 1997 and their implications for future economic activity. The narrow aggregate, M1, grew rapidly in the first half of 1997 but slowed somewhat during the second half of the year. Much of the strong growth in this aggregate over the last several years has been associated with a higher demand for transactions balances as interest rates declined and economic activity revived. There were some special factors at play, however, that are discussed in the article. The Bank expects some slowing in M1 growth through 1998 and into 1999. This would be consistent with a trend of inflation within the inflation-control target range of 1 to 3 per cent over the next couple of years. Growth in the broad aggregate, M2+, continued to be distorted by the shift of savings out of fixed-term deposits into mutual funds. A broader aggregate that includes M2+, CSBs, and all mutual funds and thus provides a better estimate of broad money growth, grew at a moderate pace during 1997. The recent behaviour of the broad monetary aggregates continues to suggest that inflation will remain low in coming years.

Uncovered Return Parity: Equity Returns and Currency Returns

Staff working paper 2018-22 Edouard Djeutem, Geoffrey R. Dunbar
We propose an uncovered expected returns parity (URP) condition for the bilateral spot exchange rate. URP implies that unilateral exchange rate equations are misspecified and that equity returns also affect exchange rates. Fama regressions provide evidence that URP is statistically preferred to uncovered interest rate parity (UIP) for nominal bilateral exchange rates between the US dollar and six countries (Australia, Canada, Japan, Norway, Switzerland and the UK) at the monthly frequency.

Reassessing Trade Barriers with Global Value Chains

Staff working paper 2019-19 Yuko Imura
This paper provides a systematic, quantitative analysis of the short-run and long-run effects of various trade-restricting policies in the presence of global value chains and multinational production.

Fragility of Resale Markets for Securitized Assets and Policy of Asset Purchases

Staff working paper 2016-46 Martin Kuncl
Markets for securitized assets were characterized by high liquidity prior to the recent financial crisis and by a sudden market dry-up at the onset of the crisis. A general equilibrium model with heterogeneous investment opportunities and information frictions predicts that, in boom periods or mild recessions, the degree of adverse selection in resale markets for securitized assets is limited because of the reputation-based guarantees by asset originators.

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.

Differentiable, Filter Free Bayesian Estimation of DSGE Models Using Mixture Density Networks

Staff working paper 2025-3 Chris Naubert
I develop a method for Bayesian estimation of globally solved, non-linear macroeconomic models. The method uses a mixture density network to approximate the initial state distribution. The mixture density network results in more reliable posterior inference compared with the case when the initial states are set to their steady-state values.
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