A-P10 · EVIDENCE · researchGRA dossier · service level R0
GRAPrivate CreditIn development
Research and evidence

Professional research

The research behind Private Credit: the questions it asks, the methods it uses and how evidence is reviewed before it is published.

Private CreditRegister
  1. 01FieldsCapital markets and investment, Financial stability
  2. 02STEM methods4 canonical methods applied
  3. 03Topics8 subject pages
  4. 04Counterparts1 platforms in shared fields
  5. 05PublisherThe Global Risks Alliance
  6. 06SectionAnalysis and uncertainty
  7. 07SectionFinancial source and licence register

GRA · In development · service level R0

01In brief

The short answer.

Private Credit research is the evidence work behind the platform: questions such as direct lending and leverage and refinancing, answered with financial economics and macro-finance as well as financial and risk engineering and reviewed before publication. Every result carries an evidence label, from observed to modelled or expert judgement, and missing data is shown as missing, never filled silently.

02Canvas

Draft to published version.

Canvas · draft to published versionDesign, not a record
Professional research: from a source to a labelled evidence recordA source is registered with its licence and steward, checked for quality and coverage, labelled by evidence class, versioned and published with a passport; corrections create a new version. Design of the process, not a record of a run.

Fig.How a finding is reviewed before it is published. Design, not a record.

03Geography

Activity and exposure in the Great Lakes.

For professional research, in GRA's spatial-finance reading, the map opens on population density, night lights and true-colour imagery with built-up and settlement extent from NASA GIBS, framed on the Great Lakes; every other NASA layer, live feed and forecast waits in the layer list.

The interactive map needs JavaScript; the layer list and sources are below.

Layers 3

Activity and exposure, for this page

Latest available

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

Loading the latest NASA imagery.

Drag to move. Ctrl or ⌘ and scroll, pinch or the buttons to zoom; hover for the values under the pointer; reset returns to the region.

For professional research, in GRA's spatial-finance reading, the map opens on population density, night lights and true-colour imagery with built-up and settlement extent from NASA GIBS, framed on the Great Lakes; every other NASA layer, live feed and forecast waits in the layer list.Satellite and model products as NASA publishes them, each with its own date; indicators, not assessments of any place; claim ceiling INTEGRATED.

Data: NASA GIBS · ASTER GDEM · Blue Marble · © OpenStreetMap contributors · Natural Earth · GDACS · CIESIN/Columbia, NASA SEDAC HBASESources and licences

  • 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 H3 cells where shown (modified). NASA open data
  • 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 H3 cells where shown (modified). NASA open data
  • 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). Licensed under CC BY 4.0. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). CC BY 4.0
  • VIIRS Black Marble night-time lights, NASA Goddard Space Flight Center; distributed by the NASA Level-1 and Atmosphere Archive and Distribution System (LAADS DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • VIIRS near-real-time products (flood, land surface temperature, snow cover, corrected reflectance), NASA LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • MODIS land products (vegetation indices, gross primary production, land cover), NASA LP DAAC and LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • ASTER GDEM is a product of METI and NASA (ASTER Global Digital Elevation Model V003, NASA LP DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com. Public domain
  • © OpenStreetMap contributors (ODbL), via NASA GIBS (coastlines, boundaries, roads and place names). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). ODbL
  • Blue Marble, NASA Earth Observatory; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • Context on the globe and flat map: coastlines, boundaries, roads and place names from NASA GIBS reference layers (OpenStreetMap data, ODbL, © OpenStreetMap contributors); Blue Marble imagery as an optional base; 3D terrain and the elevation read-out from the ASTER GDEM elevation colour index (5 m to 200 m classes, exaggerated for legibility). Boundaries are drawn as published and imply no position on any territory.
  • Globe: MapLibre GL JS 6.9.1, BSD-3-Clause, © MapLibre contributors.
  • Live: GDACS (EC JRC / UN OCHA) Events are indicative, not official warnings.
  • Context: CIESIN/Columbia, NASA SEDAC HBASE. Center for International Earth Science Information Network (CIESIN), Columbia University, and NASA Socioeconomic Data and Applications Center (SEDAC): Global Human Built-up And Settlement Extent (HBASE) 2010; Seto, Guneralp and Hutyra 2012, Global Grid of Probabilities of Urban Expansion to 2030; Global Urban Heat Island (UHI) Data Set, 2013.
  • Optional layers (35 sources in the layer list: live, forecast, observed and context) print their provider credit on the map and here when switched on; forecasts are model output and derived indices are estimates.

Layers and dates

  • Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 · static
  • Night-time lights, daily: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC · 12 Oct 2026
  • True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE · 13 Oct 2026
  • Land cover type (IGBP), yearly: MODIS Terra and Aqua land cover (MCD12Q1), NASA LP DAAC · 2024
  • Flood water, 3-day composite: VIIRS Global Flood Product, NASA LANCE · 14 Oct 2026
  • Land surface temperature, day, 8-day composite: VIIRS NOAA-20 Level 3, 8-day, NASA LANCE · 14 Sep 2026

04Questions

What the research asks.

  1. 01

    Direct lending

    Structures, counterparties and financing cycles.

  2. 02

    Leverage and refinancing

    Borrower vulnerabilities and covenants.

  3. 03

    Valuation and data gaps

    Opacity and modelling limits.

  4. 04

    Liquidity and redemptions

    Vehicle terms and investor stresses.

  5. 05

    Bank nonbank connections

    Origination, distribution and exposures.

  6. 06

    Insurance and private credit

    Insurer asset allocations and risk.

05Research questions

The questions Private Credit research works on.

QuestionEvidence used
How much leverage sits in and around private credit funds?public filings, supervisory surveys and statistics on fund leverage
How reliable are valuations of illiquid loans?borrower sites against hazard layers
Which insurers and pension funds hold the most, and on what terms?credit migration and recovery models

Private Credit research concerns the links between private credit funds and banks, insurers and pension funds. It is written for direct lending and private credit managers and bank fund-finance and leveraged finance teams, carries an evidence label on every value and never performs any institution's own analysis of valuations of loans or portfolios.

06Evidence

Every result keeps its label.

Results are labelled as observed, officially reported, estimated, modelled, forecast, scenario or expert judgement. Missing data is shown as missing, never filled silently.

Methods

Methods and uncertainty

How results are produced and where they stop

Sources

Source and data register

Where data comes from and on what terms

Publications

Reviewed outputs

Citable work with its editorial status

07Key terms

Terms used on this page.

Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.

TermDefinition
Research integrityConduct of research in line with principles of reliability, honesty, respect and accountability, as the European Code of Conduct for Research Integrity sets them out.
Evidence labelA tag naming the kind of evidence, such as observed or modelled, that should survive every summary.
ReproducibilityObtaining consistent results using the same data and analysis code as the original study.
Interest coverage ratioEarnings before interest, tax, depreciation and amortisation divided by interest expense.
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.

10Questions

Questions and answers.

Can I propose a research question?
Yes. Write to contact@globalriskalliance.com with the question, the context and who would use the answer. A proposal receives a reference; it does not commit the platform to the work.
Private Credit

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The current service level is R0: information and enquiries. An enquiry receives a reference and names the next step; applications, payments, compute allocations and registrations open only when their team, terms and review capacity exist.

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