January 15, 2024
G1 - General Financial Markets
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Understanding the Systemic Implications of Climate Transition Risk: Applying a Framework Using Canadian Financial System Data
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. -
Finding the balance—measuring risks to inflation and to GDP growth
Using our new quantitative tool, we show how the risks to the inflation and growth outlooks have evolved over the course of 2023. -
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. -
Decentralized finance: Innovations and challenges
Decentralized finance surged in popularity around 2020. We explore its value and limitations and highlight some potential regulatory concerns. -
Intermediary Market Power and Capital Constraints
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. -
Forecasting Risks to the Canadian Economic Outlook at a Daily Frequency
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. -
Generalized Autoregressive Gamma Processes
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. -
Do hedge funds support liquidity in the Government of Canada bond market?
While Government of Canada bond transactions of hedge funds are typically in the opposite direction to those of other market participants, during the peak period of market turmoil in March 2020, hedge funds sold these bonds, just as other market participants did. This shows that hedge funds can at times contribute to one-sided markets and amplify declines in market liquidity. -
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.