Bank Ownership Networks

The monitors operationalise Legal Entity Identifier data to build a network of legal entities which form Globally Systemically Important Banks.
Demo
The monitors operationalise Legal Entity Identifier data to build a network of legal entities which form Globally Systemically Important Banks.
Demo
The monitor uses related parties analysis to build a network of open-source intelligence and corporate directorship around Cambridge Analytica.
Demo
Examine possible contagion paths through which events can spread throughout large parts of the global financial system.
Demo
Investigate clearing network restructuring paths and the systemic risk implication of a failure of one or more clearing members
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Monitor the evolution of foreign claims by the primary country of reporting banks to understand banks’ foreign exposures and global financial stability ramifications.
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Monitor the global ETF market and its correlation network to gain a systemic view of recent developments and to build stress tests.
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Monitor the EU sovereign debt market and its correlation network to gain a systemic view of recent developments and to build stress tests.
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Monitor and identify network based contagion for each currency and show how contagion spreads throughout the network, creating clusters.
Demo
Monitor the global FX market and its correlation network to gain a systemic view of recent developments and to build stress tests.
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Monitor the topology of the global clearing system and related interconnectedness by using publicly available data on clearinghouse memberships.
Demo
Explore time series statistics on Covid-19 pandemic, mobility, sentiment analysis and policy responses around the world.
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Examine possible contagion paths through which a hypothetical failure of a Globally Systemically Important Bank could spread throughout the entire system.
Demo
Monitor emerging credit risks and potential spillovers via three types of contagion channels - firesales, interbank lending and supply chains.
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Use real-time interbank payments data to draw conclusions and early warning signals about liquidity and solvency of banks.
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Monitor banks’ prudential returns data, including balance sheet information, credit risk and liquidity risk. Enhanced with publicly available LEI2 data.
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Examine the inputs into financial consumption expenditures of Italian households and gauge structural dependencies.
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Use trophic analysis to understand the interconnectedness, hierarchical structure and flow direction of US supply chains.
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The monitor uses related parties analysis to build a network of the ownership structure and corporate directorship around Wirecard.
DemoComing soon