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1899 Results

June 12, 2014

Reforming Financial Benchmarks: An International Perspective

Thomas Thorn and Harri Vikstedt examine the efforts being taken internationally and in Canada to enhance the governance and integrity of financial benchmarks. The report provides an overview of how interbank interest rate benchmarks are set and describes the weaknesses in the process that were exposed by the financial crisis. It also explains recent policy developments designed to make global and Canadian interbank benchmarks more robust.
Content Type(s): Publications, Financial System Review articles JEL Code(s): G, G1, G11

Asset Encumbrance, Bank Funding and Financial Fragility

Staff working paper 2016-16 Kartik Anand, Prasanna Gai, James Chapman, Toni Ahnert
In this piece we show that a limit on the level of asset encumbrance and minimum capital requirements are effective tools for minimizing the incentive for banks to take excessive risk.
November 21, 2003

Developments, Issues, and Initiatives in Retail Payments

Innovations in basic information technologies, in payment applications, and in the availability of global markets, as well as substantial changes in financial sector policy, have fundamentally changed how the retail payments system in Canada operates. Principally, the volume and types of electronic payments have grown, and there is increased participation by diverse groups of financial and non-financial institutions as providers of retail payment services. The resulting policy problem for payment systems is how best to benefit from efficiency gains while managing payment risks. O'Connor examines the effect of the technological and legislative changes and the initiatives developed by the public and private sectors in such areas as the market arrangements for services; customer risks and costs for settling large-value retail payments; the security of payment information and the efficiency with which it is transmitted; and the effects of differing regulatory regimes on competition among providers of retail payment services.

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.

Are Counterparty Arrangements in Reinsurance a Threat to Financial Stability?

Staff working paper 2016-39 Matt Davison, Darrell Leadbetter, Bin Lu, Jane Voll
Interconnectedness among insurers and reinsurers at a global level is not well understood and may pose a significant risk to the sector, with implications for the macroeconomy. Models of the complex interactions among reinsurers and with other participants in the financial system and the real economy are at a very early stage of development.

The Anatomy of Sentiment-Driven Fluctuations

Staff working paper 2021-33 Sushant Acharya, Jess Benhabib, Zhen Huo
We show that changes in sentiment that aren’t related to fundamentals can drive persistent macroeconomic fluctuations even when all economic agents are rational. Changes in sentiment can also affect how fundamental shocks affect macroeconomic outcomes.

The Usage of Security Lending Facilities under Unconventional Monetary Policy: Evidence from Sweden

This paper examines the interaction between quantitative easing (QE) and the securities lending facility (SLF) using a detailed dataset on Riksbank QE purchases, Swedish DMO SLF transactions and OTC repo deals. A theoretical model further shows how excess demand for assets and search frictions shift the SLF from a backstop to a first-resort tool.

Trading on Long-term Information

Staff working paper 2020-20 Corey Garriott, Ryan Riordan
Investors who trade based on good research are said to be the backbone of stock markets: They conduct research to discover the value of stocks and, through their trading, guide financial prices to reflect true value. What can make their job difficult is that high-speed, short-term traders could use machine learning and other technologies to infer when informed investors are trading.
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