G10 - General
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Central Bank Crisis Interventions: A Review of the Recent Literature on Potential Costs
Central banks’ actions to stabilize financial markets and implement monetary policy during crises may come with costs and side effects. We provide a literature review of these costs and discuss measures that may mitigate the negative impacts of crisis actions. -
BoC–BoE Sovereign Default Database: What’s new in 2023?
The BoC–BoE database of sovereign debt defaults, published and updated annually by the Bank of Canada and the Bank of England, provides comprehensive estimates of stocks of government obligations in default. The 2023 edition includes a new section about the characteristics of sovereign defaults and provides new visuals showing regional debt in default. -
BoC–BoE Sovereign Default Database: Appendix and References
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). -
BoC–BoE Sovereign Default Database: Methodology and Assumptions
The Bank of Canada (BoC), in partnership with the Bank of England (BoE), developed a comprehensive database of sovereign defaults in 2014. The database is posted on the Bank of Canada’s website and updated annually. The BoC–BoE database draws on datasets published by various public and private sector sources. It combines elements of these, together with new information, to develop comprehensive estimates of stocks of government obligations in default. -
Global Demand and Supply Sentiment: Evidence from Earnings Calls
This paper quantifies global demand, supply and uncertainty shocks and compares two major global recessions: the 2008–09 Great Recession and the COVID-19 pandemic. We use two alternate approaches to decompose economic shocks: text mining techniques on earnings calls transcripts and a structural Bayesian vector autoregression model. -
On the Fragility of DeFi Lending
We develop a dynamic model to capture key features of decentralized finance lending. We identify a price-liquidity feedback: the market outcome in any given period depends on agents' expectations about lending activities in future periods, with higher future price expectations leading to more lending and higher prices in that period.