Data needs for monitoring systemically important institutions Maarten Gelderman Head Macroprudential Analysis What data do we need to form a better picture of the.

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Transcript Data needs for monitoring systemically important institutions Maarten Gelderman Head Macroprudential Analysis What data do we need to form a better picture of the.

Data needs for monitoring
systemically important institutions
Maarten Gelderman
Head Macroprudential Analysis
What data do we need to form a better
picture of the underlying health of
systemically important financial
institutions?
What improvements in disclosure are
needed to provide these data?
“Late” warning signals
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Delinquencies
Provisioning
Risk weights
Google trends and similar statistics
Risk drivers
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Build up of leverage
Build up of mismatches
Build up of interlinkages/risk concentrations
Herding
Increasing reliance on bail-out
» Liquidity
» Solvency
• Reverse approach: return statistics?
Building up leverage
• Does not equal leverage ratio
» Off balance
» Inherent leverage of instruments
» Trading book/hedges
• Leverage interacts with interlinkages
» Collateral
» Guarantees
• Gross exposure measures
• Indicators of “risk reduction” due to common factors
• Note: in the end leverage of the system is more relevant
than leverage of individual institutions
Herding
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Underestimation of risk
Underpricing of risk
Underpricing of liquidity
Risk concentrations across balance sheets
• Note: market data may be used to support out
case
An example
Correlation
moderate
and stable
Volatility low
and stable
Reliance on bail-out
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Size/share of individual markets
Reductions in franchise value
Composition of capital
Interlinkages between financial institutions
Wrap-up
• Challenging
• View across institutions needed
• View across assets (and other risk
concentrations) needed
• View on markets needed?