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GCRI · Fields across the Consortium

Financial stability

Financial stability concerns the resilience of the system as a whole: banks, insurers, funds and market infrastructure, and how shocks from outside finance (climate, cyber, pandemics) are amplified inside it.

02Three mandates

The field, seen three ways.

03Simulator

Contagion on an interbank network.

A loss on external assets distresses banks in proportion to their leverage; DebtRank passes the distress along interbank exposures, round by round, until it settles. Teaching model with stated illustrative values, not a prediction.

Controls

Fall in external assets
2.0%
Leverage (assets over equity)
10 times
Interbank share of assets
10%
Recovery on interbank claims
40%
Banks in the system
20
Core banks
20% of banks

Readouts

Equity lost to the initial shock
18.0%
Equity lost after contagion
45.0%
Added by contagion (DebtRank)
27.0 points
Banks in default
0
Numbers, methods and sources
RoundSystem equity lost (%)Banks in default
018.000
128.800
235.280
339.170
441.500
542.900
643.740
744.240
844.550
944.730
1044.840
1144.900
1244.940
1344.960
1444.980
1544.990
1644.990
1745.000
1845.000
1945.000
2045.000
2145.000
2245.000
2345.000
2445.000
2545.000
2645.000
2745.000
2845.000
2945.000
3045.000

Methods

  1. DebtRank Battiston and others (2012), Scientific Reports 2:541
  2. Differential DebtRank Bardoscia and others (2015), PLOS ONE 10
  3. Contagion in financial networks Gai and Kapadia (2010), Proc. R. Soc. A 466
  4. Clearing in financial networks Eisenberg and Noe (2001), Management Science 47
  5. Uncertainty fan (parameter Monte Carlo) Spiegelhalter, Pearson and Short (2011), Visualising uncertainty about the future, Science 333
  6. One-at-a-time sensitivity (tornado) Saltelli and others (2008), Global Sensitivity Analysis: The Primer, Wiley

Data

No observed data enters this model: it runs on the teaching values set by the controls, to be replaced with a programme’s own evidence.

Contagion on an interbank network. Illustrative teaching model: it runs on the values set by the controls, not on measured data. Methods: DebtRank (Battiston and others (2012), Scientific Reports 2:541); Differential DebtRank (Bardoscia and others (2015), PLOS ONE 10); Contagion in financial networks (Gai and Kapadia (2010), Proc. R. Soc. A 466).

Across the six pillars, led by Nexus Consortium

04The systemic question

Amplification channels.

Leverage, liquidity mismatch, interconnectedness and common exposures turn a loss into a crisis. Supervisors now run climate scenario analysis and operational resilience regimes alongside traditional stress tests. The science input that matters most is the physical-risk and cyber-scenario analysis feeding those exercises.

05Frameworks

Prudential references.

Framework or bodyWhat it governs or supplies
Basel Committee standardsBank capital, liquidity and climate-related principles
Financial Stability BoardSystem-wide monitoring and policy coordination
CPMI-IOSCO PFMI and DORAMarket infrastructure risk and digital operational resilience
06Couplings

From GCRI science to stability analysis.

Cyber accumulation scenarios on Cyber and Digital Resilience, hazard analysis on Climate and Hazards. GRA’s platforms listed below carry the sector analysis.

08Sources

Where this page’s references lead.

The bodies and documents this page is read against. Status and editions change; each link goes to the issuing body.

09Questions

Questions and answers.

Why does GCRI host field gateways?
GCRI hosts the shared references of the Consortium, including the STEM Commons and the field gateways, so each field has one place that links all three institutions’ work.
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