Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/241208 
Authors: 
Year of Publication: 
2020
Series/Report no.: 
Bank of Canada Staff Working Paper No. 2020-42
Publisher: 
Bank of Canada, Ottawa
Abstract: 
We investigate the causal structure of financial systems by accounting for contemporaneous relationships. To identify structural parameters, we introduce a novel non-parametric approach that exploits the fact that most financial data empirically exhibit heteroskedasticity. The identification works locally and, thus, allows structural matrices to vary smoothly with time. With this causality in hand, we derive a new measure for systemic relevance. An application on volatility spillovers in the US financial market demonstrates the importance of structural parameters in spillover analyses. Finally, we highlight that the COVID-19 period is mostly an aggregate crisis, with financial firms' spillovers edging slightly higher.
Subjects: 
Econometric and statistical methods
Financial markets
Financial stability
JEL: 
C1
C3
C32
C58
L14
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

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