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2166 Results

Net Send Limits in the Lynx Payment System: Usage and Implications

Staff discussion paper 2025-13 Virgilio B Pasin, Anna Wyllie
We study how participants in the Lynx payment system use the net send limit (NSL) tool to control their intraday payment outflow levels. Our results show that participants typically adopt a “set it and forget it” approach to scheduling NSLs and sometimes have distinct intraday NSL adjustment behaviours.

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.

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.

We Didn’t Start the Fire: Effects of a Natural Disaster on Consumers’ Financial Distress

We use detailed consumer credit data to investigate the impact of the 2016 Fort McMurray wildfire, the costliest wildfire disaster in Canadian history, on consumers’ financial stress. We focus on the arrears of insured mortgages because of their important implications for financial institutions and insurers’ business risk and relevant management practices.

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.
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