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2160 Results

Data Externalities, Market Power, and the Optimal Design of Central Bank Digital Currencies

This paper studies how a central bank should design a CBDC when private payment providers collect and monetize transaction data. It characterizes the optimal CBDC’s pricing and data policy, and shows how its effects on private payment use and total data depend on market power and data externalities.
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

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.

Breaking Down the US Employment Multiplier Using Micro­-Level Data

Using newly matched data on US defense contracts and restricted administrative employment data, we show that the employment effects of defense procurement are costly, concentrated and slow to diffuse.

Monetary Policy in a Volatile World: ToTEM Simulations

Using simulations of the Bank of Canada’s projection model, we assess inflation risks from greater supply-shock volatility and show that monetary policy faces sharper trade-offs, as stabilizing inflation increasingly comes at the cost of weaker real activity.

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).
December 14, 2007

The Costs of Inflation in New Keynesian Models

Ambler describes three new channels through which inflation affects economic welfare in New Keynesian models. These channels were absent from traditional analyses and may have caused researchers to underestimate the costs associated with variable inflation, even at relatively low levels of inflation. The article concludes with a preliminary assessment of the quantitative importance of the new channels and their significance for monetary policy.

Early Warning of Financial Stress Events: A Credit-Regime-Switching Approach

Staff working paper 2016-21 Fuchun Li, Hongyu Xiao
We propose an early warning model for predicting the likelihood of a financial stress event for a given future time, and examine whether credit plays an important role in the model as a non-linear propagator of shocks.

Risk and State-Dependent Financial Frictions

Staff working paper 2022-37 Martin Harding, Rafael Wouters
Using a nonlinear New Keynesian model with a financial accelerator, we show that financial frictions generate large state-dependent amplification effects. Shocks propagate more strongly in periods of financial stress. We propose an endogenous regime-switching DSGE framework for efficient estimation and improved model fit.
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