Keuangan spasialTempat modal bertemu bahaya, keterpaparan, dan transisi
Stress testing private portfolios
Scenario design and stress testing ask how portfolio companies, funds and investors would fare under severe but plausible conditions: rate shocks, closed exit markets, physical disasters, supply failures or technology substitution. In private markets, where history is short and prices are estimated, scenarios often carry more information than statistical models.
What scenario design and stress testing does here.
Scenario design and stress testing construct plausible, severe future conditions to examine howSistemand institutions would perform. They complement probabilistic analysis where data are scarce or futures are deeply uncertain. In capital markets and investment and industry and robotics, stress tests reveal vulnerabilities that arise when several risks materialise together. They inform capital, contingency and coordination plans across sectors. The canonical description is onSTEM Commons.
Rate and refinancing stress
Higher rates and tighter credit are applied to each holding’s debt stack and maturity profile, with sponsor and lender actions stated, to show where liquidity and covenants fail first.
Physical event across a portfolio
A flood or heat scenario is applied to geocoded sites and key suppliers of every holding, tracing damage and downtime into earnings, insurance recoveries and covenant headroom.
Exit freeze and investor liquidity
Exits are slowed for a stated period while capital calls continue, showing how distributions, secondary sales and fund-level borrowing interact at limited partners.
03Model skenario
Risiko transisi dan fisik pada portofolio.
Tiga kelompok skenario mengikuti kerangka NGFS menggerakkan portofolio sektor melalui biaya karbon dan kerusakan akibat pemanasan; tampilan transmisi menelusuri kerugian hingga ke pemberi pinjaman, investor, keuangan publik, dan rumah tangga. Skenario: asumsi bernama tentang masa depan, bukan proyeksi.
Kendali
Harga karbon pada cakrawala, jalur teratur
200 per tCO2
Penundaan sebelum transisi yang tidak teratur
50% dari cakrawala
Biaya yang dibebankan kepada pelanggan
50%
Pemanasan saat ini di atas masa praindustri
1,30°C
Pemanasan per dekade, kebijakan saat ini
0,25°C
Koefisien kerusakan
0,24% per °C²
Tahun ke depan
25 tahun
Pembacaan
Skenario terburuk pada cakrawala
−33,6% dari nilai
Angka, metode, dan sumber
Tahun
Transisi teratur (% nilai)
Transisi tertunda dan tidak teratur (% nilai)
Kebijakan saat ini (% nilai)
0
−0.38
−0.38
−0.38
3
−2.87
−0.53
−0.67
6
−5.36
−0.68
−0.97
9
−7.84
−0.84
−1.27
12
−10.33
−0.99
−1.57
15
−12.82
−7.12
−1.87
18
−15.31
−15.05
−2.17
21
−17.80
−23.00
−2.48
24
−20.29
−30.94
−2.79
Metode
Kelompok skenario iklim NGFS (2023), Climate Scenarios for central banks and supervisors, Phase IV
Uji tekanan iklim terhadap sistem keuangan Battiston and others (2017), Nature Climate Change 7
Fungsi kerusakan Nordhaus (2017), Revisiting the social cost of carbon, PNAS 114
Saluran transmisi BCBS (2021), Climate-related risk drivers and their transmission channels
Kipas ketidakpastian (Monte Carlo parametrik) Spiegelhalter, Pearson dan Short (2011), Memvisualisasikan ketidakpastian tentang masa depan, Science 333
Sensitivitas satu per satu (tornado) Saltelli and others (2008), Global Sensitivity Analysis: The Primer, Wiley
Data
The model runs on the teaching values set by the controls. To calibrate it for a place, read it against these admitted layers and series, which this page’s map can draw:
Luasan perkotaan Natural Earth
Pelabuhan laut Natural Earth
Tahun lalu, suhu harian (ERA5 melalui Open-Meteo) Open-Meteo.com (CC BY 4.0), Copernicus ERA5 (C3S/ECMWF) · register open-meteo.public-pages
Suhu udara permukaan, siang hari (AIRS) NASA AIRS · register nasa.gibs.context-live-layers
Risiko transisi dan fisik pada portofolio. Model pengajaran ilustratif: model ini berjalan pada nilai yang ditetapkan oleh kontrol, bukan pada data terukur. Metode: keluarga skenario iklim (NGFS (2023), Climate Scenarios for central banks and supervisors, Phase IV); uji stres iklim sistem keuangan (Battiston dkk. (2017), Nature Climate Change 7); fungsi kerusakan (Nordhaus (2017), Revisiting the social cost of carbon, PNAS 114).
Di seluruh enam pilar, dipimpin oleh Nexus Consortium
Datasets and records used by scenario design and stress testing on this platform, with the role each plays and the label its values carry. Sources are listed inregister sumber.
Data
Peran
Label
Supervisory scenarios (Bank of England, ECB, Federal Reserve)
Severity and macro paths
Statistik yang diterbitkan
Skenario iklim NGFS
Physical and transition pathways
DIMODELKAN
Historical market episodes
Analogues for severity and timing
TERAMATI
Portfolio company and fund data
Exposures and balance sheets
DILAPORKAN
05Eksposur, kerugian, dan modal
What stress testing private portfolios means for exposure, loss and capital.
Tampilan eksposur, kerugian, skenario, dan modal yang akan diminta oleh pejabat risiko, otoritas pengawas, atau kementerian keuangan, beserta kerangka pelaporan yang mereka gunakan. Strukturnya mengikuti praktik pengawasan dan aktuaria. Nilai bersifat ilustratif: tidak pernah merupakan harga, peringkat, atau saran.
Jalur skenario
How stress testing private portfolios could be stressed under the scenario families central banks and supervisors use.
Kelompok skenario
Risiko transisi
Risiko fisik
Apa yang ditanyakan uji tekanan
Teratur
Kebijakan dini dan bertahap
Lebih rendah
Dapatkah portofolio menyerap penetapan ulang harga yang bertahap?
Tidak teratur
Kebijakan terlambat dan mendadak
Rendah hingga sedang
Apa yang rusak saat terjadi penetapan ulang harga mendadak dan migrasi kredit?
Dunia rumah kaca
Kebijakan terbatas
Tinggi dan meningkat
Di mana kerugian fisik terkonsentrasi dalam agunan dan asuransi?
Kelompok skenario sebagaimana didefinisikan oleh NGFS; kurvanya adalah indeks tekanan gabungan ilustratif, bukan variabel atau prakiraan NGFS.
Skenario iklim NGFS · Network for Greening the Financial SystemIFRS S2 Pengungkapan terkait Iklim · ISSBRekomendasi TCFD · Financial Stability Board TCFDPrinsip-prinsip pengelolaan efektif risiko keuangan terkait iklim · Basel Committee on Banking Supervision
06Validasi
Cara hasil diperiksa.
Scenarios are reviewed for plausibility, internal consistency and severity relative to history. Exercise outcomes are compared with actual events when they occur.
Pemeriksaan
Cara pelaksanaannya
Severity against history
Each scenario is compared with past episodes and its relative severity stated
Internal consistency
Rates, spreads, valuations and exits move together in ways the scenario narrative explains
Stated management actions
Sponsor, lender and investor responses are listed and tested with and without them
Reverse stress testing
The conditions that would breach a stated tolerance are identified, not only the outcome of a chosen scenario
Scenario choice can reflect prevailing assumptions and miss novel combinations. Results depend on how participants and models represent responses.
What are the limits of scenario design and stress testing in this field?
Scenario choice can reflect prevailing assumptions and miss novel combinations. Results depend on how participants and models represent responses.
Bagaimana hasil diperiksa?
Scenarios are reviewed for plausibility, internal consistency and severity relative to history. Exercise outcomes are compared with actual events when they occur.
Apakah nilai di halaman ini nyata?
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.
Laporanis 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.
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