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2120 Results

Improving the Efficiency of Payments Systems Using Quantum Computing

We develop an algorithm and run it on a hybrid quantum annealing solver to find an ordering of payments that reduces the amount of system liquidity necessary without substantially increasing payment delays.

High-Frequency Cross-Sectional Identification of Military News Shocks

Staff working paper 2025-27 Francesco Amodeo, Edoardo Briganti
We identify and quantify fiscal news shocks, compiling events (2001–2023) that altered the expected path of U.S. defense expenditure. For each event, we estimate market-implied shifts in expected spending. A shift-share analysis yields a two-year, metropolitan statistical area–level GDP multiplier of approximately 1 for U.S. military build-ups.

International Economic Sanctions and Third-Country Effects

Staff working paper 2023-46 Fabio Ghironi, Daisoon Kim, Galip Kemal Ozhan
We study the transmission and third-country effects of international sanctions. A sanctioned country’s losses are mitigated, and the sanctioning country’s losses amplified, if a third country does not join the sanctions, but the third country benefits from not joining.

Assessing Global Potential Output Growth: April 2019

This note presents the updated estimates of potential output growth for the global economy through 2021. Global potential output is expected to grow by 3.3 per cent per year over the projection horizon.

Variance Premium, Downside Risk and Expected Stock Returns

We decompose total variance into its bad and good components and measure the premia associated with their fluctuations using stock and option data from a large cross-section of firms.

Machine learning for economics research: when, what and how

Staff analytical note 2023-16 Ajit Desai
This article reviews selected papers that use machine learning for economics research and policy analysis. Our review highlights when machine learning is used in economics, the commonly preferred models and how those models are used.

Firm Inattention and the Efficacy of Monetary Policy: A Text-Based Approach

Staff working paper 2022-3 Wenting Song, Samuel Stern
How much attention do firms pay to macroeconomic news? Through a novel text-based measure, two facts emerge. First, attention is polarized. Most firms either never or always pay attention to economic conditions. Second, it is countercyclical. During recessions, more firms pay attention, and firms pay greater attention to macroeconomic news.
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