Is This Normal? The Cost of Assuming that Derivatives Have Normal Returns Staff Working Paper 2024-46 Radoslav Raykov Derivatives exchanges often determine collateral requirements, which are fundamental to market safety, with dated risk models assuming normal returns. However, derivatives returns are heavy-tailed, which leads to the systematic under-collection of collateral (margin). This paper uses extreme value theory (EVT) to evaluate the cost of this margin inadequacy to market participants in the event of default. Content Type(s): Staff research, Staff working papers Topic(s): Financial institutions, Financial stability JEL Code(s): G, G1, G10, G11, G2, G20
BoC–BoE Sovereign Default Database: What’s new in 2024? Staff Analytical Note 2024-19 David Beers, Obiageri Ndukwe, Alex Charron 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 2024 edition updates the historical data and revisits sovereign defaults on local currency debt. Content Type(s): Staff research, Staff analytical notes Topic(s): Debt management, Development economics, Financial stability, International financial markets JEL Code(s): F, F3, F34, G, G1, G10, G14, G15
Decomposing Large Banks’ Systemic Trading Losses Staff Working Paper 2024-6 Radoslav Raykov Do banks realize simultaneous trading losses because they invest in the same assets, or because different assets are subject to the same macro shocks? This paper decomposes the comovements of bank trading losses into two orthogonal channels: portfolio overlap and common shocks. Content Type(s): Staff research, Staff working papers Topic(s): Financial institutions, Financial stability JEL Code(s): G, G1, G10, G11, G2, G20
January 15, 2024 Mapping out the implications of climate transition risk for the financial system Gabriel Bruneau, Javier Ojea Ferreiro, Andrew Plummer, Marie-Christine Tremblay, Aidan Witts We develop a new analytical framework to understand the system-wide implications of climate transition risk. When applying this framework to Canadian data, we find that interconnections within the financial sector could amplify the direct effects of climate transition risk on financial entities. Content Type(s): Publications, Financial System Hub articles Topic(s): Climate change, Economic models, Financial institutions, Financial markets, Financial stability JEL Code(s): C, C6, C63, G, G0, G01, G1, G10, G2, G20, Q, Q5, Q54
Understanding the Systemic Implications of Climate Transition Risk: Applying a Framework Using Canadian Financial System Data Staff Discussion Paper 2023-32 Gabriel Bruneau, Javier Ojea Ferreiro, Andrew Plummer, Marie-Christine Tremblay, Aidan Witts Our study aims to gain insight on financial stability and climate transition risk. We develop a methodological framework that captures the direct effects of a stressful climate transition shock as well as the indirect—or systemic—implications of these direct effects. We apply this framework using data from the Canadian financial system. Content Type(s): Staff research, Staff discussion papers Topic(s): Climate change, Economic models, Financial institutions, Financial markets, Financial stability JEL Code(s): C, C6, C63, G, G0, G01, G1, G10, G2, G20, Q, Q5, Q54
Central Bank Crisis Interventions: A Review of the Recent Literature on Potential Costs Staff Discussion Paper 2023-30 Patrick Aldridge, David Cimon, Rishi Vala 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. Content Type(s): Staff research, Staff discussion papers Topic(s): Central bank research, Financial institutions, Financial markets, Financial stability, Lender of last resort JEL Code(s): E, E5, E58, G, G1, G10, G2, G20
BoC–BoE Sovereign Default Database: What’s new in 2023? Staff Analytical Note 2023-10 David Beers, Obiageri Ndukwe, Karim McDaniels, Alex Charron 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. Content Type(s): Staff research, Staff analytical notes Topic(s): Debt management, Development economics, Financial stability, International financial markets JEL Code(s): F, F3, F34, G, G1, G10, G14, G15
BoC–BoE Sovereign Default Database: Appendix and References Technical Report No. 125 David Beers, Obiageri Ndukwe, Alex Charron 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). Content Type(s): Staff research, Technical reports Topic(s): Debt management, Development economics, Financial stability, International financial markets JEL Code(s): F, F3, F34, G, G1, G10, G14, G15
BoC–BoE Sovereign Default Database: Methodology and Assumptions Technical Report No. 124 David Beers, Obiageri Ndukwe, Alex Charron 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. Content Type(s): Staff research, Technical reports Topic(s): Debt management, Development economics, Financial stability, International financial markets JEL Code(s): F, F3, F34, G, G1, G10, G14, G15
Global Demand and Supply Sentiment: Evidence from Earnings Calls Staff Working Paper 2023-37 Temel Taskin, Franz Ulrich Ruch 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. Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Coronavirus disease (COVID-19), Econometric and statistical methods, Inflation and prices, International topics JEL Code(s): C, C1, C11, C3, C32, E, E3, E32, G, G1, G10