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2191 Results

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.

Fixed-income dealing and central bank interventions

Staff analytical note 2022-9 David Cimon, Adrian Walton
We summarize the theoretical model of central bank asset purchases developed in Cimon and Walton (2022). The model helps us understand how asset purchases ease pressures on investment dealers to restore market conditions in a crisis.

Does US or Canadian Macro News Drive Canadian Bond Yields?

Staff analytical note 2018-38 Bruno Feunou, Rodrigo Sekkel, Morvan Nongni-Donfack
We show that a large share of low-frequency (quarterly) movements in Canadian government bond yields can be explained by macroeconomic news, even though high-frequency (daily) changes are driven by other shocks. Furthermore, we show that US macro news—not domestic news— explains most of the quarterly variation in Canadian bond yields.

The impact of a central bank digital currency on payments at the point of sale

Staff analytical note 2024-27 Walter Engert, Oleksandr Shcherbakov, André Stenzel
We simulate the impact of a central bank digital currency (CBDC) on consumer adoption, merchant acceptance and use of different payment methods. Modest frictions that deter consumer adoption of a CBDC inhibit its market penetration. Minor pricing responses by financial institutions and payment service providers further reduce the impact of a CBDC.
Content Type(s): Staff research, Staff analytical notes JEL Code(s): C, C5, C51, D, D1, D12, E, E4, E42, L, L1, L14, L5, L52 Research Theme(s): Money and payments, Digital assets and fintech, Retail payments

Parallel Tempering for DSGE Estimation

Staff working paper 2024-13 Joshua Brault
I develop a population-based Markov chain Monte Carlo algorithm known as parallel tempering to estimate dynamic stochastic general equilibrium models. Parallel tempering approximates the posterior distribution of interest using a family of Markov chains with tempered posteriors.
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