Skip to content

GRA · Private Credit

Spatial financeWhere capital meets hazard, exposure and transition

Network science and contagion for private credit

Network science maps the links between private credit funds, banks, insurers, sponsors and borrowers. On this platform it shows shared loans, common lenders and funding dependencies through which stress could travel.

Pirsek bike Back to STEM foundation of Private Credit
01Qeyd

Network science and contagion for private credit on the record.

Method recordSTEM method
  1. RêbazZanista torê û vegirtinê
  3. Applied inKrediya taybet
  6. Canonical pageSTEM Commons
02Serlêdan

What network science and contagion does here.

Network science and contagion study how the structure of connections among entities shapes the spread of failures, information and disease. It provides tools to analyse interdependent infrastructure, supply chains and financial pergalan. In capital markets and investment and financial stability, network science identifies critical nodes and pathways through which shocks propagate across sectors. It informs targeted protection and diversification to limit cascades. The canonical description is on the STEM Commons.

Shared loan networks

Matching borrowers across fund filings reveals how many funds hold the same loans and how distress at one borrower spreads across lenders.

Funding dependencies

Bank facilities to funds and insurer allocations to managers are mapped to show which institutions finance which parts of the market.

Stress propagation

Simulated borrower defaults are traced through fund leverage and investor links to estimate second-round effects on banks and insurers.

03Stress test

How a shock to assets becomes a system loss.

The equity the system loses after interbank contagion, against the initial hit, as leverage, interconnection and recovery rates change, the core of a macroprudential Testa zextê. Teaching model with stated illustrative values, not a prediction.

Kontrol

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

Xwendin

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
Jimar, rêbaz û çavkanî
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

Rêbaz

  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. Pankeya nediyarîyê (Monte Carlo ya parametreyan) Spiegelhalter, Pearson and Short (2011), Visualising uncertainty about the future, Science 333
  6. Hesasiyeta yek-yek (tornado) Saltelli and others (2008), Global Sensitivity Analysis: The Primer, Wiley

Dane

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.

How a shock to assets becomes a system loss. 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).

Li seranserê şeş stûnan, bi pêşengiya Nexus Consortium

04Dane

What the method consumes.

Datasets and records used by network science and contagion on this platform, with the role each plays and the label its values carry. Sources are listed in the source register.

DaneRolNîşan
BDC holdingsLoan linksStatîstîkên weşandî
Supervisory exposure dataFunding linksStatîstîkên weşandî
Insurer statutory filingsInvestor linksStatîstîkên weşandî
05Exposure, loss and capital

What network science and contagion for private credit means for exposure, loss and capital.

The exposure, loss, scenario and capital views a risk officer, supervisor or ministry of finance would ask for, with the frameworks they report against. Structures follow supervisory and actuarial practice. Values are illustrative: never prices, ratings or advice.

Transmission channels

How a shock in network science and contagion for private credit reaches credit, market, underwriting, liquidity and operational risk, and feeds back.

Channel structure after the Basel Committee’s work on climate-related risk drivers and transmission channels; links shown are typical paths, not estimated exposures.
NGFS climate scenarios · Network for Greening the Financial SystemIFRS S2 Climate-related Disclosures · ISSBTCFD recommendations · Financial Stability Board TCFDPrinciples for the effective management of climate-related financial risks · Basel Committee on Banking Supervision
06Erêkirin

How results are checked.

Models are checked by reproducing observed cascades and outbreaks. Robustness of results to missing or uncertain links is tested.

Kontrol bikinHow it is done
Entity matchingBorrower and fund names are matched with documented rules
Coverage statedUnobserved parts of the network are acknowledged
Scenario realismSimulated shocks reflect plausible events

Network data are often incomplete or confidential. Static network models may miss adaptive behaviour during cascades.

07Connections

Topics that rely on this method.

08Stewardship

Who maintains the method.

Zanista pergalan û modelkirin stewards network science and contagion for the Consortium and reviews how it is applied across platforms.

Canonical page: Network science and contagion

09Girêdayî

Ev rûpel li ser Konsorsiyûmê te ber bi kû ve dibe.

10Pirs

Pirs û bersiv.

What are the limits of network science and contagion in this field?
Network data are often incomplete or confidential. Static network models may miss adaptive behaviour during cascades.
How are results checked?
Models are checked by reproducing observed cascades and outbreaks. Robustness of results to missing or uncertain links is tested.
Are the values on this page real?
The data names, roles and checks are real descriptions of practice. The canvas shows a design of the method’s use, not a run; no result is reported here.
Where else is this method applied?
Çavdêrxaneya canonical method page lists every platform that applies it.
rêzeya Pergalên StratejîkTevkarî bike

Ji vê rûpelê delîl bidin.

rêzeya Pergalên Stratejîk is the Consortium’s quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.

Global Risks AllianceKrediya taybetAmadebûna fînans û sîgortayêSenaryo û ceribandina stresê

Tu carî daneyên şexsî, hûrgiliyên binesaza hesas an tiştekî ku mafê we yê parvekirinê tune ne neşînin. Beşdarî berî bikaranînê tê nirxandin; şandina wê nivîskarî an mafên edîtorî nade û sponsorî tu carî encamekê nakire.

Krediya taybet

Bring an exposure or capital question to the Alliance.

Agahî û pirs îro vekirî ne. Pirsek referansekê distîne û gava piştî wê dide nasîn; serlêdan, drav, veqetandina hesabkirinê û tomarkirin tenê dema ku tîm, mercên wê û kapasîteya vekolînê hebin vedibin.

Propose a readiness pilot Hemû rêyên têkiliyê bibînin
Hiqûqî

Nexşe, dane û jimarên vê malperê ji bo çarçoveyê û agahiyên giştî têne nîşandan. Ew ne şîret, ne pêşbînî û ne hişyarî ne; sînorên agahiyê di Daxuyaniyên Berpirsiyariyê û Daxuyaniyên Daneyê de hatine diyarkirin.