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316 Results

How big is cash-futures basis trading in Canada’s government bond market?

Staff Analytical Note 2024-16 Andreas Uthemann, Rishi Vala
Cash-futures basis trading has grown alongside the Government of Canada bond futures market. We examine this growth over time in relation to Government of Canada bond and repurchase agreement markets and provide details on the type of market participants that engage in this type of trading activity.

Central Bank Liquidity Policy in Modern Times

Staff Discussion Paper 2024-6 Skylar Brooks
Across several dimensions of lender of last resort policy, I highlight broad changes that have occurred since the 2008–09 global financial crisis and discuss some of the key challenges, choices and considerations facing the designers of central bank liquidity tools today.

Impacts of interest rate hikes on the consumption of households with a mortgage

We assess how much the recent rate-hike cycle has and will affect mortgage borrowers' consumption through its impacts on mortgage payments. Our analysis provides insights into the effects of changes in monetary policy on the consumption of mortgage borrowers.

The Role of Beliefs in Entering and Exiting the Bitcoin Market

We develop a model that links investors’ decisions to enter or exit the Bitcoin market with their beliefs about the survival of Bitcoin. Empirical testing using Canadian data reveals that beliefs strongly influence both entries and exits, and this impact varies with time and ownership status.

Saving after Retirement and Preferences for Residual Wealth

Staff Working Paper 2024-21 Giulio Fella, Martin B. Holm, Thomas Michael Pugh
We estimate a model of households in Norway with bequest motives, health-dependent utility, and uncertain longevity and health. Our estimates imply strong bequest motives for households both with and without offspring. We interpret this as suggestive evidence that utility from residual wealth represents forces beyond an altruistic bequest motive.

Markups and Inflation in Oligopolistic Markets: Evidence from Wholesale Price Data

Staff Working Paper 2024-20 Patrick Alexander, Lu Han, Oleksiy Kryvtsov, Ben Tomlin
We study how the interaction of market power and nominal price rigidity influences inflation dynamics. We find that pass-through declines with price stickiness when markets are concentrated, which implies a lower slope of the New Keynesian Phillips curve.

Total factor productivity growth projection for Canada: A sectoral approach

Staff Analytical Note 2024-12 Dany Brouillette, Tessa Devakos, Raven Wheesk
We propose a tool that decomposes TFP growth into sectoral contributions. The analysis incorporates three structural factors—digitalization, aging and climate change policies—and measures their contributions. Overall, we expect that aggregate TFP growth will slow down in the 2020s below both its historical average and the average from the 2010s.

Survey of Indigenous Firms: A Snapshot of Wages, Prices and Financing in the Indigenous Business Sector in Canada

Staff Discussion Paper 2024-4 Calista Cheung, James Fudurich, Janki Shah, Farrukh Suvankulov
What sources of financing do Indigenous-owned businesses in Canada use, and what are their expectations about prices, wages and inflation? We find Indigenous-owned firms are significantly less reliant on financial institutions as sources of financing compared with non-Indigenous firms. We also find Indigenous-owned firms have higher inflation expectations and weaker wage-growth expectations.
Content Type(s): Staff research, Staff discussion papers Topic(s): Firm dynamics JEL Code(s): C, C8, C83, D, D0, G, G3, G38, J, J1, J15

Digital Payments in Firm Networks: Theory of Adoption and Quantum Algorithm

We build a network formation game of firms with trade flows to study the adoption and usage of a new digital currency as an alternative to correspondent banking.

Finding a Needle in a Haystack: A Machine Learning Framework for Anomaly Detection in Payment Systems

Staff Working Paper 2024-15 Ajit Desai, Anneke Kosse, Jacob Sharples
Our layered machine learning framework can enhance real-time transaction monitoring in high-value payment systems, which are a central piece of a country’s financial infrastructure. When tested on data from Canadian payment systems, it demonstrated potential for accurately identifying anomalous transactions. This framework could help improve cyber and operational resilience of payment systems.
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