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2166 Results

CBDC: Banking and Anonymity

Staff working paper 2024-9 Yuteng Cheng, Ryuichiro Izumi
We examine the optimal amount of user anonymity in a central bank digital currency in the context of bank lending. Anonymity, defined as the lender’s inability to discern an entrepreneur’s actions that enable fund diversion, influences the choice of payment instrument due to its impact on a bank’s lending decisions.

The Mode is the Message: Using Predata as Exclusion Restrictions to Evaluate Survey Design

Staff working paper 2017-43 Heng Chen, Geoffrey R. Dunbar, Rallye Shen
Changes in survey mode (e.g., online, offline) may influence the values of survey responses, and may be particularly problematic when comparing repeated cross-sectional surveys.

Redefining Financial Inclusion for a Digital Age: Implications for a Central Bank Digital Currency

We explore quantitative and qualitative information about Canadians who face barriers to making digital payments. We also consider the implications of ongoing digitalization for modern financial inclusion and a potential central bank digital currency.

U.S. Macroeconomic News and Low-Frequency Changes in Small Open Economies’ Bond Yields

Using two complementary approaches, we investigate the importance of U.S. macroeconomic news in driving low-frequency fluctuations in the term structure of interest rates in Canada, Sweden and the United Kingdom. We find that U.S. macroeconomic news is particularly important to explain changes in the expectation components of the nominal, real and break-even inflation rates of small open economies.

What Can Earnings Calls Tell Us About the Output Gap and Inflation in Canada?

Staff discussion paper 2023-13 Marc-André Gosselin, Temel Taskin
We construct new indicators of demand and supply for the Canadian economy by using natural language processing techniques to analyze earnings calls of publicly listed firms. Our results indicate that the new indicators could help central banks identify inflationary pressures in real time.

Measuring Systemic Risk Across Financial Market Infrastructures

Staff working paper 2016-10 Fuchun Li, Héctor Pérez Saiz
We measure systemic risk in the network of financial market infrastructures (FMIs) as the probability that two or more FMIs have a large credit risk exposure to the same FMI participant.
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