Please use this identifier to cite or link to this item:
Riskrank to Predict Systemic Banking Crises With Common Exposures
|Title:||Riskrank to Predict Systemic Banking Crises With Common Exposures|
|Keywords:||Machine Learning and Network Analytics in Finance|
early-warning models, macroprudential oversight, financial networks, RiskRank, systemic risk
|Issue Date:||03 Jan 2018|
|Abstract:||Systemic risk has remained at the nexus of macro-financial research and policymaking in most parts of the world. Much of the attention has focused on understanding implication of the interconnectedness of financial markets. Instead of focusing only on networks, we use and test the utility of network structures in a novel way. We use RiskRank as a framework to test the use of networks of financial systems, and particularly focus on testing the utility of the network dimension of common exposures (funding composition and portfolio overlap). RiskRank provides an ideal playground for testing the extent to which direct and common exposures perform in capturing transmission of financial crises. The results in this paper highlight the importance of common exposures. We show that funding and portfolio composition overlap are significant channels of contagion and should be accounted for when measuring systemic risk.|
|Rights:||Attribution-NonCommercial-NoDerivatives 4.0 International|
|Appears in Collections:||Machine Learning and Network Analytics in Finance|
Please contact firstname.lastname@example.org if you need this content in an ADA compliant alternative format.
Items in ScholarSpace are protected by copyright, with all rights reserved, unless otherwise indicated.