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43 Results

Analysis of DeFi Oracles

Oracles are constructs used in decentralized finance to price assets relative to each other. However, oracles contain defects that could lead to manipulation attacks. Such attacks exploit pricing models embedded within oracles to defraud creators and users. We automatically verify defects, which if mitigated, improves the security of digital currency.

A central bank digital currency for offline payments

Offline functionality is a key consideration for a potential CBDC. We describe the different types of offline functionality based on their duration outside of network connection—either intermittent (for short periods) or extended (for longer periods). We discuss the advantages and drawbacks of each and consider implications for end-user devices, system resilience and universal accessibility.

Archetypes for a retail CBDC

Staff Analytical Note 2022-14 Sriram Darbha
A variety of technology designs could support retail central bank digital currency (CBDC) systems. We develop five archetypes of CBDC systems, outline their characteristics and discuss their trade-offs. This work serves as a framework to analyze and compare different designs, independent of vendor, platform and implementation.

How does the Bank of Canada’s balance sheet impact the banking system?

Staff Analytical Note 2022-12 Daniel Bolduc-Zuluaga, Brad Howell, Grahame Johnson
We examine how changes in the Bank of Canada’s balance sheet impact the banking system. Quantitative easing contributed to an increase in the size of the banking system’s balance sheet and an improvement in bank liquidity coverage ratios. Quantitative tightening is expected to partially reverse these impacts. The banking system will have to adjust its liquidity management strategy in response.

Financial Intermediaries and the Macroeconomy: Evidence from a High-Frequency Identification

Staff Working Paper 2022-24 Pablo Ottonello, Wenting Song
We provide empirical evidence of effects to the aggregate economy from surprises about financial intermediaries’ net worth based on a high-frequency identification strategy. We estimate that news of a 1% decline in intermediaries’ net worth leads to a 0.2%–0.4% decrease in the market value of nonfinancial firms.

Behaviour in the Canadian large-value payment system: COVID-19 vs. the global financial crisis

Staff Analytical Note 2021-7 Alexander Chaudhry, Anneke Kosse, Karen Sondergard
Unlike the 2008–09 global financial crisis, the onset of the COVID-19 crisis did not raise stress levels in Canada’s Large Value Transfer System. Swift changes to the Bank of Canada’s collateral policy and its large-scale asset purchase programs likely eased liquidity pressures in the system.

Eggs in One Basket: Security and Convenience of Digital Currencies

Staff Working Paper 2021-6 Charles M. Kahn, Francisco Rivadeneyra, Tsz-Nga Wong
Digital currencies store balances in anonymous electronic addresses. This paper analyzes the trade-offs between the safety and convenience of aggregating balances in addresses, electronic wallets and banks.

Survival Analysis of Bank Note Circulation: Fitness, Network Structure and Machine Learning

Staff Working Paper 2020-33 Diego Rojas, Juan Estrada, Kim Huynh, David T. Jacho-Chávez
Using the Bank of Canada's Currency Information Management Strategy, we analyze the network structure traced by a bank note’s travel in circulation and find that the denomination of the bank note is important in our potential understanding of the demand and use of cash.

Security of a CBDC

Staff Analytical Note 2020-11 Cyrus Minwalla
Security is an important element in ensuring public confidence in a central bank digital currency (CBDC). This note highlights the required security properties of a CBDC system and the challenges encountered with existing solutions, should the Bank of Canada choose to issue one.

Privacy in CBDC technology

Staff Analytical Note 2020-9 Sriram Darbha, Rakesh Arora
Privacy is a key aspect of a potential central bank digital currency system. We outline different technical choices to enact various privacy models while complying with the appropriate regulations. We develop a framework to evaluate privacy models and list key risks and trade-offs in privacy design.
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