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2191 Results

How Costly Are Cross-Border Payments for Firms?

Staff analytical paper 2026-49 Jiaqi Li
Using proprietary FXC Intelligence data on quoted prices for Canadian business-to-business cross-border payments, this note finds that banks charge firms around 2–3.5% of transaction value. Prices vary considerably across banks for the same corridor, transaction amount, and year.

To Tokenize, or Not to Tokenize: The Design Question for a Central Bank Digital Currency

Staff working paper 2026-14 Jonathan Chiu, Cyril Monnet, Oliver Junye Xu
This paper develops a general equilibrium model to assess central bank digital currency (CBDC) design in a monetary system where traditional banks and “crypto banks” (i.e., banks that issue stablecoins) coexist. We compare tokenized and non-tokenized CBDC, showing that their desirability depends on the reliability of private money provision, the availability of collateral assets and the features of the crypto sector.

Labour Supply and Firm Size

Staff working paper 2023-47 Lin Shao, Faisal Sohail, Emircan Yurdagul
This paper documents a systematic pattern of how wages, hours and their relationship vary across firms of different sizes. Using a model with heterogeneous firms and workers, we show how the interplay between wages, hours and firm size affect worker sorting and inequality.

The Rise of Non-Regulated Financial Intermediaries in the Housing Sector and its Macroeconomic Implications

Staff working paper 2017-36 Hélène Desgagnés
I examine the impact of non-regulated lenders in the mortgage market using a dynamic stochastic general equilibrium (DSGE) model. My model features two types of financial intermediaries that differ in three ways: (i) only regulated intermediaries face a capital requirement, (ii) non-regulated intermediaries finance themselves by selling securities and cannot accept deposits, and (iii) non-regulated intermediaries face a more elastic demand.

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.
August 4, 2010

Fellowship Award

Annual research grants and expense allowances for a term of up to five years.

DeFi Lending: Returns, Leverage, and Liquidation Risk

Staff analytical paper 2026-13 Jonathan Chiu, Furkan Danisman
DeFi lending with proper governance is operationally viable, but it also faces constraints related to capital efficiency, liquidation risk, and systemic fragility within the crypto ecosystem.

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.

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.
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