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 JEL Code(s): G, G1, G10, G11, G2, G20 Research Theme(s): Financial markets and funds management, Market functioning, Financial system, Financial institutions and intermediation, Financial stability and systemic risk
Market structure of cryptoasset exchanges: Introduction, challenges and emerging trends Staff analytical note 2024-2 Vladimir Skavysh, Jacob Sharples, Sofia Priazhkina, Salman H. Hasham This paper provides an overview of cryptoasset exchanges. We contrast their design with exchanges in traditional financial markets and discuss emerging regulatory trends and innovations aimed at solving the problems cryptoasset exchanges face. Content Type(s): Staff research, Staff analytical notes JEL Code(s): G, G1, G15, L, L1 Research Theme(s): Financial markets and funds management, Market structure, Money and payments, Digital assets and fintech
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 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 JEL Code(s): C, C6, C63, G, G0, G01, G1, G10, G2, G20, Q, Q5, Q54 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Economic models, Structural challenges, Climate change
Finding the balance—measuring risks to inflation and to GDP growth Staff analytical note 2023-18 Bruno Feunou, James Kyeong Using our new quantitative tool, we show how the risks to the inflation and growth outlooks have evolved over the course of 2023. Content Type(s): Staff research, Staff analytical notes JEL Code(s): C, C3, C32, C5, C58, E, E4, E44, G, G1, G17 Research Theme(s): Models and tools, Economic models, Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission, Real economy and forecasting
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 JEL Code(s): E, E5, E58, G, G1, G10, G2, G20 Research Theme(s): Financial system, Financial stability and systemic risk, Monetary policy, Monetary policy tools and implementation
Decentralized finance: Innovations and challenges Staff analytical note 2023-15 Jonathan Chiu, Hanna Yu Decentralized finance surged in popularity around 2020. We explore its value and limitations and highlight some potential regulatory concerns. Content Type(s): Staff research, Staff analytical notes JEL Code(s): G, G1, G2 Research Theme(s): Financial system, Financial stability and systemic risk, Money and payments, Digital assets and fintech, Payment and financial market infrastructures
Intermediary Market Power and Capital Constraints Staff working paper 2023-51 Jason Allen, Milena Wittwer We examine how intermediary capitalization affects asset prices in a framework that allows for intermediary market power. We introduce a model in which capital-constrained intermediaries buy or trade an asset in an imperfectly competitive market, and we show that weaker capital constraints lead to both higher prices and intermediary markups. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D4, D40, D44, G, G1, G12, G18, G2, G20, L, L1, L10 Research Theme(s): Financial markets and funds management, Funds management, Market functioning, Market structure, Financial system, Financial institutions and intermediation
Forecasting Risks to the Canadian Economic Outlook at a Daily Frequency Staff discussion paper 2023-19 Chinara Azizova, Bruno Feunou, James Kyeong This paper quantifies tail risks in the outlooks for Canadian inflation and real GDP growth by estimating their conditional distributions at a daily frequency. We show that the tail risk probabilities derived from the conditional distributions accurately reflect realized outcomes during the sample period from 2002 to 2022. Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C3, C32, C5, C58, E, E4, E44, G, G1, G17 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Inflation dynamics and pressures, Real economy and forecasting
Generalized Autoregressive Gamma Processes Staff working paper 2023-40 Bruno Feunou We introduce generalized autoregressive gamma (GARG) processes, a class of autoregressive and moving-average processes in which each conditional moment dynamic is driven by a different and identifiable moving average of the variable of interest. We show that using GARG processes reduces pricing errors by substantially more than using existing autoregressive gamma processes does. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C5, C58, G, G1, G12 Research Theme(s): Financial markets and funds management, Market functioning, Models and tools, Econometric, statistical and computational methods