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2099 Results

Lending Standards, Productivity and Credit Crunches

Staff working paper 2019-25 Jonathan Swarbrick
We propose a macroeconomic model in which adverse selection in investment drives the amplification of macroeconomic fluctuations, in line with prominent roles played by the credit crunch and collapse of the asset-backed security market in the financial crisis.

The Relative Benefits and Risks of Stablecoins as a Means of Payment: A Case Study Perspective

Staff discussion paper 2022-21 Annetta Ho, Sriram Darbha, Yuliya Gorelkina, Alejandro García
Our paper contributes to the discussion about the utility of stablecoins for retail payments through an objective, evidence-based approach that compares stablecoins with traditional retail payment methods. The paper also provides insights that could be useful in the design of central bank digital currencies.

Canadian Bitcoin Ownership in 2023: Key Takeaways

Staff discussion paper 2025-4 Daniela Balutel, Marie-Hélène Felt, Doina Rusu
The Bitcoin Omnibus Survey is an important tool for monitoring Canadians’ awareness and ownership of bitcoin and other cryptoassets over time. In this paper, we present data highlights from the 2023 survey.

Markov‐Switching Three‐Pass Regression Filter

We introduce a new approach for the estimation of high-dimensional factor models with regime-switching factor loadings by extending the linear three-pass regression filter to settings where parameters can vary according to Markov processes.

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.

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.
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