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2154 Results

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.

Interpreting Volatility Shocks as Preference Shocks

Staff working paper 2016-45 Shaofeng Xu
This paper examines the relationship between volatility shocks and preference shocks in an analytically tractable endogenous growth model with recursive preferences and stochastic volatility. I show that there exists an explicit mapping between volatility shocks and preference shocks, and a rise in volatility generates the same impulse responses of macroeconomic aggregates as a negative preference shock.

The BoC-BoE Sovereign Default Database Revisited: What’s New in 2018?

Staff working paper 2018-30 David Beers, Jamshid Mavalwalla
Until recently, there have been few efforts to systematically measure and aggregate the nominal value of the different types of sovereign government debt in default. To help fill this gap, the Bank of Canada’s Credit Rating Assessment Group (CRAG) has developed a comprehensive database of sovereign defaults posted on the Bank of Canada’s website that now is updated in partnership with the Bank of England.
November 15, 2012

Access, Competition and Risk in Centrally Cleared Markets

Central counterparties can make over-the-counter markets more resilient and reduce systemic risk by mitigating and managing counterparty credit risk. These benefits are maximized when access to central counterparties is available to a wide range of market participants. In an over-the-counter market, there is an important trade-off between risk and competition. A model of an over-the-counter market shows how risk and competition could be influenced by the incentives of market participants as they move to central clearing. In a centrally cleared market, there may be less risk when participation is high. This helps to explain why regulators have put in place requirements for fair, open and risk-based access criteria.

Content Type(s): Publications, Bank of Canada Review articles JEL Code(s): G, G1, G18, G2, G21, L, L1, L13

BoC–BoE Sovereign Default Database: Appendix and References

Technical report No. 125 David Beers, Obiageri Ndukwe, Joe Berry
Since 2014, the Bank of Canada (BoC) has maintained a comprehensive database of sovereign defaults to systematically measure and aggregate the nominal value of the different types of sovereign government debt in default. The database is posted on the BoC’s website and is updated annually in partnership with the Bank of England (BoE).
November 24, 2004

Bank of Canada Review - Autumn 2004

BoC Review - Autumn 2004

Cover page

Bus Transportation Tokens and Tickets

The pieces illustrated on the cover range in size from 12 mm to 38 mm in diameter or width. They form part of the National Currency Collection, Bank of Canada.

Photography by Gord Carter, Ottawa

Blockchain-Based Settlement for Asset Trading

Staff working paper 2018-45 Jonathan Chiu, Thorsten Koeppl
Can securities be settled on a blockchain and, if so, what are the gains relative to existing settlement systems? We consider a blockchain that ensures delivery versus payment by linking transfers of assets with payments and operates using a proof-of-work protocol. The main benefit of a blockchain is faster and more flexible settlement, whereas the challenge is to avoid settlement fails when participants fork the chain to get rid of trading losses.

What Are the Macroeconomic Effects of High-Frequency Uncertainty Shocks

Staff working paper 2016-25 Laurent Ferrara, Pierre Guérin
This paper evaluates the effects of high-frequency uncertainty shocks on a set of low-frequency macroeconomic variables that are representative of the U.S. economy. Rather than estimating models at the same common low-frequency, we use recently developed econometric models, which allows us to deal with data of different sampling frequencies.
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