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2188 Results

High-Frequency Trading and Institutional Trading Costs

Staff working paper 2018-8 Marie Chen, Corey Garriott
Using data on Canadian bond futures, we examine how high-frequency traders (HFTs) interact with institutions building large positions. In contrast to recent findings, we find HFTs in the data act as small-sized liquidity suppliers, and we reject the hypothesis that they engage in back running, a predatory trading strategy.

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.
June 8, 2015

Panel remarks for round table discussion at the 21st Conference of Montréal

Remarks Carolyn A. Wilkins 21st Conference of Montréal: International Economic Forum of the Americas Montréal, Quebec
Introduction Thank you for the invitation to be here today. I’m honoured to be part of this panel. It’s been more than seven years since the global financial crisis began, and we’re still coping with its aftermath. One of the consequences of the crisis has been a disruption of financial globalization. Global capital flows—to give […]

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.

Housing and Tax-Deferred Retirement Accounts

Staff working paper 2016-24 Anson T. Y. Ho, Jie Zhou
Assets in tax-deferred retirement accounts (TDA) and housing are two major components of household portfolios. In this paper, we develop a life-cycle model to examine the interaction between households’ use of TDA and their housing decisions.

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.

Automation and Inequality: How Robots Shift Income Between Workers and Owners

Staff working paper 2026-34 Gabriela Galassi, Gaelan MacKenzie
This paper examines the direct effects of industrial robot adoption on workers and owners within Canadian private corporations. Adoption increases firm scale and per-worker payroll but does not decrease the labor share of value added. Conventional accounting of labor income earned by owners masks the impact on non-owner workers.
Content Type(s): Staff research, Staff working papers JEL Code(s): D, D2, D22, D3, D33, J, J2, J23, J3, J31, O, O3, O33 Research Theme(s): Structural challenges, Digitalization and productivity

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.

Non-competing Data Intermediaries

Staff working paper 2020-28 Shota Ichihashi
I study a model of competing data intermediaries (e.g., online platforms and data brokers) that collect personal data from consumers and sell it to downstream firms.

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.
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