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GRA · Private Equity Nexus

Spatial financeWhere capital meets hazard, exposure and transition

Exit and liquidity

Private-equity returns are realised only at exit, through a sale to a trade buyer, a sale to another sponsor, a listing or, increasingly, a transfer to a continuation vehicle. When exits slow, distributions to limited partners slow with them, and the effect travels through pension and endowment liquidity, secondary markets and fund-level borrowing. This page sets out how exit and liquidity risk develops across the private-markets cycle, how it is measured, and what the evidence serves for those who decide.

01Qeyd

Exit and liquidity on the record.

02Pirs

Exit and liquidity: how the risk develops.

Market cycles and risk transmission. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.

Mekanîzma

Exit windows open and close

Listing and acquisition markets move with equity valuations, credit availability and rates. When windows close, holding periods lengthen and unrealised value accumulates, testing fund lives and the patience of investors.

Mekanîzma

Distributions fund new commitments

Many limited partners rely on distributions to meet capital calls. When distributions fall while calls continue, investors face liquidity strain and may sell fund interests at a discount or reduce new commitments.

Mekanîzma

Liquidity without a sale

Continuation vehicles, NAV loans and dividend recapitalisations return cash without a third-party sale. They can relieve liquidity, but they add leverage or conflicts and move the test of value to a later date.

Mekanîzma

Spillover to the wider system

Pension funds, insurers and wealth vehicles hold growing allocations to private assets. In stress, their liquidity needs, such as collateral calls or redemptions, can force sales of liquid assets, which is why central banks and the FSB monitor the channel.

03Erdnîgarî

Activity and exposure in the contiguous United States.

Night lights, population density and flood water over the contiguous United States, from NASA GIBS. Each layer carries its own date.

Nexşeya înteraktîf JavaScript hewce dike; lîsteya qatan û çavkanî li jêr in.

Qat 3

Çalakî û rûbirûbûn, ji bo vê rûpelê

Derbarê vê qatê
Delîl
Çavdêrîkirî
Çavkanî
VIIRS Black Marble (VNP46A2) (NASA LAADS DAAC)
Peydakar
NASA LAADS DAAC
Lîsans
Daneyên vekirî yên NASA
Berhema salê
rojane; Tîrêjiya peykî, ji bo ronahiya heyvê û atmosferê hatiye rastkirin
Nûtirîn di dema avakirinê de
2026-10-12
Çareserî
torê nêzîkî 500 m
Nediyarî
Tîrêja şevê ya peykî ji bo roja tê nîşandan; ronahî nîşanek e ji bo karanîna elektrîkê û qutbûnê, ne pîvandina peydakirin an gihîştinê ye.
Bi vê rêyê tê gihîştin
gibs.earthdata.nasa.gov, tenê piştî ku hûn nexşeya zindî destûr bidin
Derbarê vê qatê
Delîl
Texmînkirî
Çavkanî
Gridded Population of the World v4.11 (NASA SEDAC (CIESIN, Zanîngeha Columbia))
Peydakar
NASA SEDAC (CIESIN, Zanîngeha Columbia)
Lîsans
CC BY 4.0
Berhema salê
null; texmîna li ser bingeha serjimariyê, statîk (2020)
Çareserî
torê nêzîkî 1 km
Nediyarî
Texmîna li ser bingeha serjimêriyê ya mirovan ji bo her kîlometre çargoşeyekê di 2020 de, wekî çarçoveya rûbirûbûnê tê nîşandan; ne jimara mirovên ji hêla tu metirsiyê ve bandor bûne ye.
Bi vê rêyê tê gihîştin
gibs.earthdata.nasa.gov, tenê piştî ku hûn nexşeya zindî destûr bidin
Derbarê vê qatê
Delîl
Çavdêrîkirî (ewr valahiyan dihêlin)
Çavkanî
VIIRS Global Flood Product (NASA LANCE)
Peydakar
NASA LANCE
Lîsans
Daneyên vekirî yên NASA
Berhema salê
rojane; Tesbîtkirina bi peykê; ewr valahiyan dihêlin
Nûtirîn di dema avakirinê de
2026-10-14
Çareserî
tora nêzîkî 250 m
Nediyarî
Tesbîtkirina bi peykê; ewr valahiyan dihêlin. Rasterê peyk an modelê wekî pêşkêşker diweşîne. Ewr, valahiyên şeritê û xeletiya wergirtinê valahî û lerzê dihêlin; nirx nîşander in, ne pîvandinên li cihekî ne.
Bi vê rêyê tê gihîştin
gibs.earthdata.nasa.gov, tenê piştî ku hûn nexşeya zindî destûr bidin
Derbarê vê qatê
Delîl
Çavdêrîkirî (ewrên mayinde hêj jî valahiyan dihêlin)
Çavkanî
VIIRS NOAA-20 Asta 3, 8-rojî (NASA LANCE)
Peydakar
NASA LANCE
Lîsans
Daneyên vekirî yên NASA
Berhema salê
8-rojî; Berhevoka peykî ya 8-rojî; ewrên mayinde hêj jî valahiyan dihêlin
Nûtirîn di dema avakirinê de
2026-09-14
Çareserî
torê nêzîkî 1 km
Nediyarî
Germahiya rûyê axê ya peykî di 8 rojên ku bi dîroka nîşandayî diqedin de, nîşanderek ji rûbirûbûna germê; ne germahiya hewayê, ne îndeksa germê û ne hişyariya germê ye.
Bi vê rêyê tê gihîştin
gibs.earthdata.nasa.gov, tenê piştî ku hûn nexşeya zindî destûr bidin
Derbarê vê qatê
Delîl
Çavdêrîkirî
Çavkanî
VIIRS NOAA-20 refleksiyona rastkirî (NASA LANCE)
Peydakar
NASA LANCE
Lîsans
Daneyên vekirî yên NASA
Berhema salê
rojane; Wêneya peykî
Nûtirîn di dema avakirinê de
2026-10-14
Çareserî
tora nêzîkî 250 m
Nediyarî
Wêneyê peykî. Rasterê peykî an modelî wekî peydakar diweşîne. Ewr, valahiyên şeritê û çewtiya wergirtinê valahî û xîrecir dihêlin; nirx nîşander in, ne pîvanên li cihekî ne.
Bi vê rêyê tê gihîştin
gibs.earthdata.nasa.gov, tenê piştî ku hûn nexşeya zindî destûr bidin
Derbarê vê qatê
Delîl
Modelkirî (sala herî dawî ya ku GIBS diweşîne)
Çavkanî
Vegirtina rûyê erdê ya MODIS Terra û Aqua (MCD12Q1) (NASA LP DAAC)
Peydakar
NASA LP DAAC
Lîsans
Daneyên vekirî yên NASA
Berhema salê
salane; Dabeşkirina peykî; dawîn sala ku GIBS weşandiye
Nûtirîn di dema avakirinê de
2024-01-01
Çareserî
torê nêzîkî 500 m
Nediyarî
Çîna vegirtina rûyê erdê ya peykî ji bo salê nîşandayî, bi çandiniyê re; dabeşkirinek bi çewtiyên naskirî, ne qeyda cotkaran e.
Bi vê rêyê tê gihîştin
gibs.earthdata.nasa.gov, tenê piştî ku hûn nexşeya zindî destûr bidin

Ya herî dawî ya heyî

NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © OpenStreetMap contributors (ODbL) · Natural Earth

Wêneyên herî nû yên NASA tê barkirin.

Bikişîne da ku bilivîne. Ctrl an ⌘ û zivirandin, pincandin an bişkojkan ji bo nêzîkkirinê; ji bo nirxên di bin nîşanderê de li ser bisekine; vegerandin vedigere herêmê.

Çalakî û rûbirûbûn, di çarçoveya Dewletên Yekbûyî yên berdewam de.Berhemên peyk û modelê wekî NASA diweşîne, her yek bi dîroka xwe. Nîşander in, ne nirxandinên tu cihî ne.

Dane: NASA GIBS · ASTER GDEM · Blue Marble · © beşdarên OpenStreetMap · Natural Earth · NASA EONET · U.S. Geological Survey · CIESIN/Columbia, NASA SEDAC HBASEÇavkanî û lîsans

  • We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). Daneyên vekirî yên NASA
  • We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). Daneyên vekirî yên NASA
  • Ronahiyên şevê yên VIIRS Black Marble, NASA Goddard Space Flight Center; ji aliyê NASA Level-1 and Atmosphere Archive and Distribution System (LAADS DAAC) ve tê belavkirin; wêne bi riya NASA GIBS. Reng ji nexşeya rengan a weşandî dîsa hatine xêzkirin; nirx li cihên ku têne nîşandan di şaneyên şeşgoşe de hatine navînkirin (guherandî). Daneyên vekirî yên NASA
  • Center for International Earth Science Information Network (CIESIN), Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. NASA Socioeconomic Data and Applications Center (SEDAC). Bi lîsansa CC BY 4.0. Reng ji nexşeya rengan a hatî weşandin ji nû ve hatine xêzkirin; nirx li cihê nîşandayî di şaneyên şeşgoşe de hatine navgîn kirin (guhertî). doi:10.7927/H49C6VHW. CC BY 4.0
  • Berhemên VIIRS yên hema hema di dema rast de (lehî, germahiya rûyê erdê, vegirtina berfê, refleksiyona rastkirî), NASA LANCE; wêne bi riya NASA GIBS. Reng ji nexşeya rengan a hatî weşandin ji nû ve hatine xêzkirin; nirx li cihê nîşandayî di şaneyên şeşgoşe de hatine navgîn kirin (guhertî). Daneyên vekirî yên NASA
  • Berhemên rûyê erdê yên MODIS (îndeksên nebatiyê, hilberîna seretayî ya giştî, vegirtina rûyê erdê), NASA LP DAAC û LANCE; wêne bi riya NASA GIBS. Reng ji nexşeya rengan a hatî weşandin ji nû ve hatine xêzkirin; nirx li cihê nîşandayî di şaneyên şeşgoşe de hatine navgîn kirin (guhertî). Daneyên vekirî yên NASA
  • ASTER GDEM berhemek METI û NASA ye (ASTER Global Digital Elevation Model V003, NASA LP DAAC); wêne bi riya NASA GIBS. Reng ji nexşeya rengan a weşandî dîsa hatine xêzkirin; nirx li cihên ku têne nîşandan di şaneyên şeşgoşe de hatine navînkirin (guherandî). Bi vî awayî binivîse: NASA/METI/AIST/Japan Spacesystems and U.S./Japan ASTER Science Team (2019). ASTER Global Digital Elevation Model V003. doi:10.5067/ASTER/ASTGTM.003. Daneyên vekirî yên NASA
  • Bi Natural Earth hatiye çêkirin. Daneyên nexşeyê yên vektor û raster ên belaş @ naturalearthdata.com. Giştî
  • © OpenStreetMap contributors (ODbL), bi riya NASA GIBS (peravên, sînor, rê û navên cihan). Reng ji nexşeya rengan a weşandî dîsa hatine xêzkirin; nirx li cihên ku têne nîşandan di şaneyên şeşgoşe de hatine navînkirin (guherandî). ODbL
  • Blue Marble, NASA Earth Observatory; wêne bi riya NASA GIBS. Reng ji nexşeya rengan a weşandî dîsa hatine xêzkirin; nirx li cihên ku têne nîşandan di şaneyên şeşgoşe de hatine navînkirin (guherandî). Daneyên vekirî yên NASA
  • Çarçove li ser globa û nexşeya daxistî: peravên, sînor, rê û navên cihan ji qatên referansê yên NASA GIBS (daneyên OpenStreetMap, ODbL, © OpenStreetMap contributors); wêneya Blue Marble wekî bingeha bijarte; erdnîgariya 3D û xwendina bilindahiyê ji nîşandera rengê bilindahiyê ya ASTER GDEM (çînên 5 m heta 200 m, ji bo xwendinê hatine mezinkirin). Sînor wekî hatine weşandin têne xêzkirin û li ser tu axê helwestekê nîşan nadin.
  • Bûyerên zindî: NASA Earth Observatory Natural Event Tracker (EONET); bûyer nîşanî ne û girêdanên çavkaniya xwe ya orîjînal diparêzin.
  • Zindî: Bûyerên NASA EONET nîşander in, ne hişyariyên desthilatê ne.
  • Zindî: U.S. Geological Survey Bûyer nîşanî ne, ne hişyariyên rayedaran in.
  • Çarçove: CIESIN/Columbia, NASA SEDAC HBASE. Center for International Earth Science Information Network (CIESIN), Columbia University, û NASA Socioeconomic Data and Applications Center (SEDAC): Global Human Built-up And Settlement Extent (HBASE) 2010; Seto, Guneralp û Hutyra 2012, Global Grid of Probabilities of Urban Expansion to 2030; Global Urban Heat Island (UHI) Data Set, 2013.
  • NASA GIBS: We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS).
  • Qatên bijarte (5 çavkanî di lîsteya qatan de: zindî, pêşbînî, çavdêrîkirî û çarçove) dema ku têne vekirin krediya pêşkêşkerê xwe li ser nexşeyê û li vir çap dikin; pêşbînî derketina modelê ne û nîşanderên derivekirî texmîn in.

Qat û dîrok

  • Ronahiya şevê, rojane: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC · 12 Cotmeh 2026
  • Qebareya nifûsê, 2020: Nifûs: CIESIN, Zanîngeha Columbia, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 · sabît
  • Ava lehiyê, berhevoka 3-rojî: VIIRS Global Flood Product, NASA LANCE · 14 Cotmeh 2026
  • Germahiya rûyê erdê, roj, kompozîta 8 rojan: VIIRS NOAA-20 Level 3, 8 roj, NASA LANCE · 14 Îlon 2026
  • Rengê rastîn: VIIRS NOAA-20 refleksiyona rastkirî, NASA LANCE · 13 Cotmeh 2026
  • Cureyê vegirtina rûyê erdê (IGBP), salane: vegirtina rûyê erdê ya MODIS Terra û Aqua (MCD12Q1), NASA LP DAAC · 2024

04Nîşander

What is measured, and how well.

Each indicator carries its unit, its cadence, the kind of source behind it and the evidence label a value would carry. No values are shown: a programme supplies them under its own authority.

IndicatorUnitCadenceSource typeNîşan
Distributions to paid-in capitalratioquarterlyFund reporting, ILPA Performance TemplateREPORTED
Net cash flow to limited partnersdistributions minus contributions, currency per periodquarterlyLimited partner cash-flow datasetsREPORTED
Holding period at exityearsannualTransaction databasesREPORTED
Exit route mixshare of exits, by routeannualTransaction databases, Invest Europe activity dataREPORTED
Secondary market volume and pricingcurrency volume; price as percent of NAVsemi-annualSecondary intermediary reportsTEXMÎNKIRÎ
Continuation vehicle share of exit valueshare of exit valueannualTransaction databasesTEXMÎNKIRÎ
Unfunded commitments relative to liquid assetsratio, at limited partner levelquarterlyPension and insurer reportingREPORTED
Fund term extensionscount of extensions, by vintageannualAdvisory committee records, fund noticesREPORTED
05Çavdêrî bike

Portfolio monitoring.

The screen a team would use to follow this subject: its measures, states and decisions. Names are examples and values are illustrative.

Portfolio monitoring

Exit and liquidity · Fund III · Quarter 1

Covenant headroom thin at one companyGRA · Private Equity Nexus

Portfolio companies

Company 7, logistics5.06BilindWatchlist
Company 3, healthcare3.524KêmOn plan
Company 5, industrial4.213NavînOn plan
Company 9, software2.031KêmOn plan

Maturity wall

050100debt due by year, local mY1Y2Y3Y4Y5

Company 7 resilience

Sites in flood zone
3 of 11
Berhevbûna peydakaran
one carrier for 60 pct of volume
Action
relocate depot, second carrier
Xwedî
Operating partner
Portfolio monitoring: the screen’s structure, terms and states for Exit and liquidity.Nav û nirxên nimûneyî; sêwiran e, ne qeyd an pergaleke zindî ye.
06Çavkanî

Where the evidence comes from.

Named public datasets and institutional records, each with its licence class. Sources by agreement are used only under their terms and never republished.

ÇavkanîWhat it givesLicence class
Invest Europe activity reportsFundraising, investment and divestment by exit route across EuropeFree, terms of use
Preqin and PitchBook exit and fund dataExit values, routes, holding periods and fund cash flowsProprietary, licensed subscription
MSCI Private Capital cash-flow dataContributions and distributions by fund and vintageProprietary, licensed subscription
Bank of England Financial Stability rêzeya Pergalên StratejîkAssessment of private markets and links to UK financial stabilityFree, terms of use
FSB reports on non-bank financial intermediationSystem-wide monitoring of liquidity and leverage outside banksFree, attribution
Federal Reserve Financial Accounts of the United StatesHoldings of pension funds and insurers by asset typePublic domain (US government work)
EIOPA insurance statisticsAsset allocation and investment exposures of EU insurersFree, attribution
07Stress 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. The map on this page shows The contiguous United States; the model itself is not tied to a place.

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

08Biryar

Who decides, and what the evidence serves.

Private Equity Nexus prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.

Kî biryarê didePirsEvidence this page serves
General partnersWhen and how to exit, and whether a continuation vehicle or NAV facility serves all investorsExit route evidence, holding period trends and conflict controls
Limited partner advisory committeesWhether to consent to term extensions and continuation transactionsProcess and pricing evidence, including fairness opinions and secondary pricing
Limited partner investment committeesHow to pace commitments and whether to sell fund interestsCash-flow pacing scenarios and secondary pricing, labelled by source
Central banks, the FSB and securities regulatorsWhether private-market liquidity links pose risks to wider stabilityAggregated filings, investor holdings data and transmission maps

Outputs this topic produces

  • Cash-flow pacing designs linking exits, distributions and capital calls
  • Liquidity stress designs for limited partners under slowed exits
  • Explainers on continuation vehicles, NAV loans and secondaries
  • Transmission maps from private-market exits to the wider financial system
09Simulatorê cêwî û kaskade

Trace a shock in exit and liquidity to the balance sheet.

Assembled from the Nexus Standards area profile Standardên xetera fînansî û aborî: the shocks it names, the pergalan and sectors that carry the loss, the controls that dampen it and the data that observe it. Pick an initiating shock and step through the cascade to see which exposures it reaches and where losses could concentrate. The Map view places the run on an example geography with open data. Every weight is a stated assumption. An exercise, not a forecast, a valuation, a rating or investment advice. To model a place of your own choosing, open the full System Builder.

Metirsî

  • Sea-level rise
  • Dam failure
  • Coastal flood (set off downstream)
  • Storm surge (set off downstream)
  • High-tide flooding (set off downstream)
  • Coastal erosion (set off downstream)
  • Saltwater intrusion (set off downstream)
  • Estuary flood (set off downstream)
  • River flood (set off downstream)
  • Flash flood (set off downstream)
  • Koçberiya girseyî (li aliyê jêr çê dibe)
  • Coastal habitat squeeze (set off downstream)
  • Wetland loss (set off downstream)
  • Mangrove loss (set off downstream)
  • Groundwater flood (set off downstream)
  • Qutbûna berfireh a elektrîkê (li aliyê jêr çê dibe)
  • Water supply shortfall (set off downstream)
  • Climate-driven migration and relocation (set off downstream)

Kontrol

  • NS-0 Destûr û prensîb
  • NS-3 UNIyên tomara xetereyê (rêzimanî, nexşeya veguhastina ji pergala kevin, desthilata veqetandinê)
  • NS-9 UNI yên çarçoveyî (belavkirin, mînak, mînakên bernameyê)
  • NS-10 Policies and clauses (machine-readable obligations: definition, binding, evaluation and enforcement)
  • NS-11 Piştrastkirin û çavdêrî (delîl, erêkirin, çavdêriya lihevhatina zero-trust)
  • NS-14 Lihevhatin û nexşeya li standardên derveyî
  • NRS-H59 Malbata metirsiyê: Şokên aborî û têkçûna rêveberiyê (NHS-1 soc.economic)
  • NRS-H113 Malbata metirsiyê: Nazikiya pergala darayî (NHS-1 soc.financial-system)
  • NRS-H118 Malbata metirsiyê: Sûcê organîzekirî û aboriyên neqanûnî (NHS-1 soc.crime)
  • NRS-H114 Malbata metirsiyê: Şokên makroaborî û darayiya giştî (NHS-1 soc.macro-fiscal)
  • NRS-H61 Malbata metirsiyê: Têkçûna zincîrî (NHS-1 sys.cascade)
  • NRS-U27 Universe platform profile: Sovereign Capital Nexus

Çavdêrî

  • IMF data services (WEO, IFS, FSI via SDMX) (listed for reference)
  • BIS Data Portal (credit, debt service, property prices, banking statistics) (listed for reference)
  • World Bank Open Data and World Development Indicators API (listed for reference)
  • OECD Data Explorer (SDMX API) (listed for reference)
  • Macroeconomic Dashboard
  • Debt service as a proportion of exports of goods and services
  • Financial Soundness Indicators

Erdnîgariya mînakê

  • Western Europe: 152 hexagonal cells
  • Ronahiyên şevê îşev, qutbûn (VIIRS Day/Night Band), NASA GIBS
  • Ava rûyê erdê di nav ewr re, 30 m (radara OPERA DSWx-S1), NASA GIBS
  • Rêjeya barînê, nîv saeta dawî (IMERG), NASA GIBS
  • Vegetation disturbance alerts, 30 m (OPERA DIST-ALERT), NASA GIBS
10Core questions

What liquidity research asks.

  • How do exit volumes and routes change over market cycles?
  • How do slower exits affect distributions to investors and their ability to meet new commitments?
  • What role do secondary markets, continuation vehicles and fund-level borrowing play in providing liquidity?
  • How do liquidity pressures feed back into companies and lending?
11Exposure, loss and capital

What exit and liquidity 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.

Capital, solvency and fiscal indicators

The indicators a risk officer, supervisor or ministry of finance reads first on exit and liquidity.

IndicatorUnitWho reads itFramework
CET1 ratio% of risk-weighted assetsBanks, supervisorsBasel framework
Liquidity coverage ratio% of stressed outflowsBanks, central banksBasel framework
Solvency ratio% of solvency capital requirementInsurers, supervisorsIAIS Insurance Core Principles
Combined ratio% of earned premiumInsurersActuarial practice
Protection gapuninsured share of economic lossInsurers, ministries of financePublished loss statistics
Public debt% of GDPMinistries of finance, IMFDebt Sustainability Framework
Gross financing needs% of GDP per yearMinistries of finance, investorsDebt Sustainability Framework
Source: the frameworks named in each row. Indicator names, units and frameworks only; values belong to each institution’s own reporting and are never shown here.
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
12Mechanisms

How liquidity stress transmits.

Investors commit capital that funds call over several years, and they expect distributions from earlier funds to help meet those calls. When exits slow, distributions fall while calls continue, squeezing investor liquidity. Some investors respond by selling fund interests in secondary markets, often at discounts, or by reducing new commitments, which affects fundraising across the industry.

Managers may use continuation vehicles or fund-level borrowing to provide liquidity or extend holding periods. These tools add flexibility but also add layers of leverage and governance complexity. Longer holding periods can strain companies whose capital structure assumed an earlier exit.

13Methods and limits

How exit and liquidity are studied.

  1. 01

    Cash flow modelling

    Modelling calls and distributions under different market paths, using financial and risk engineering. Limits: fund-level data is limited.

  2. 02

    Market cycle analysis

    Studying exit activity across cycles, using financial economics and macro-finance. Limits: past cycles may not repeat.

  3. 03

    Secondary market analysis

    Studying pricing and volume of secondary transactions. Limits: data is partial.

  4. 04

    Liquidity stress scenarios

    Testing investor liquidity under slow exits, using scenario design and stress testing. Limits: illustrative.

14Rêbaz

How it is studied, and what the methods cannot say.

  1. Aboriya fînansî û makro-fînansPerformance against public alternatives · Rate transmission to leveraged companiesApplied here
  2. Sêwirandina senaryoyan û ceribandina bin zextêRate and refinancing stress · Physical event across a portfolioApplied here
  3. Financial and risk engineeringCapital structure and waterfall modelling · Fair value model reviewApplied here
15Pirs

Pirs û bersiv.

Why do slower exits matter to pension funds?
Because distributions are part of how they meet capital calls and benefit payments. When exits slow, they must find cash elsewhere, sell fund interests or commit less to new funds.
Is a continuation vehicle an exit?
For investors who sell, it provides liquidity. For the asset, ownership stays with the same manager. It is counted separately from sales to third parties because the price is not set by an independent buyer alone.
What does distributions to paid-in capital show?
The cash returned to investors relative to what they have paid in. Unlike NAV-based measures, it reflects realised value only, which is why limited partners watch it when exits slow.
Does GRA facilitate secondary transactions?
No. GRA does not arrange, facilitate or advise on any transaction or introduce counterparties.
Why do slow exits affect investors?
Because investors rely on distributions to meet capital calls and other obligations. When distributions slow, they may need to sell assets or reduce commitments.
What is fund-level borrowing?
Borrowing by the fund itself, secured on investor commitments or portfolio value, used for bridging calls or providing liquidity.
How does liquidity stress reach companies?
Longer holding periods can delay planned investment or refinancing, and pressure for liquidity can influence the timing and terms of sales.
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