Extreme risk spillover network: application to financial institutions

Volume: 17, Issue: 9, Pages: 1417 - 1433
Published: Mar 7, 2017
Abstract
Using the CAViaR tool to estimate the value-at-risk (VaR) and the Granger causality risk test to quantify extreme risk spillovers, we propose an extreme risk spillover network for analysing the interconnectedness across financial institutions. We construct extreme risk spillover networks at 1% and 5% risk levels (which we denote 1% and 5% VaR networks) based on the daily returns of 84 publicly listed financial institutions from four...
Paper Details
Title
Extreme risk spillover network: application to financial institutions
Published Date
Mar 7, 2017
Volume
17
Issue
9
Pages
1417 - 1433
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