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GRA · Climate and Nature Financial Risk

Spatial financeWhere capital meets hazard, exposure and transition

Financial economics and macro-finance at Climate and Nature Financial Risk

Financial economics explains how risks are priced and transmitted through balance sheets and markets. On this platform it links climate and nature drivers to credit, market, underwriting and liquidity risk, and examines whether markets price them.

01Qeyd

Financial economics and macro-finance at Climate and Nature Financial Risk on the record.

Method recordSTEM method
  1. RêbazAboriya fînansî û makro-fînans
  2. Applied inXetera fînansî ya avhewa û xwezayê
  3. Canonical pageSTEM Commons
02Serlêdan

What financial economics and macro-finance does here.

Financial economics and macro-finance study how asset prices, credit and financial institutions interact with the real economy. They explain how shocks are amplified or absorbed through balance sheets and markets. In climate and hazards, biodiversity and nature and capital markets and investment, financial economics traces how physical, health or cyber shocks transmit to credit, sovereign debt and markets. It informs macroprudential policy and the pricing of risk. The canonical description is on the STEM Commons.

Credit risk transmission

Physical and transition shocks are linked to borrower revenues, collateral values and default probabilities, with identification stated.

Market pricing studies

Bond spreads, equity returns and property prices are examined for evidence that climate risk is priced.

Cross-sector transmission

Interactions between insurance availability, bank lending and asset prices are analysed as feedback loops that cross sector boundaries.

03Çavdêrî bike

Econometric model.

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

Econometric model

Climate and nature financial risk · Financial economics · Run R-0990

Estimates stableGRA · Climate and Nature Financial Risk

Estimates

robust standard errors

Financed emissions−0.320.04[−0.3, 0.4]Erê
Exposure to high physical risk0.670.05[−0.6, 0.9]Erê
Expected loss uplift, disorderly0.120.18[0.0, 0.9]Na
Nature dependency materiality0.540.12[−0.1, 0.9]Erê

Method card

Rêbaz
Aboriya fînansî û makro-fînans
Sample
10,098 obs
Sêwirandin
panel, fixed effects
Nîşan
MODELKIRÎ

Residuals by group

Econometric model: the screen’s structure, terms and states for Climate and nature financial risk.Nav û nirxên nimûneyî; sêwiran e, ne qeyd an pergaleke zindî ye.
04Dane

What the method consumes.

Datasets and records used by financial economics and macro-finance on this platform, with the role each plays and the label its values carry. Sources are listed in the source register.

DaneRolNîşan
Loan and collateral dataCredit exposureStatîstîkên weşandî
Market pricesPricing evidenceÇAVDÊRÎKIRÎ
DisclosuresExposure metricsDECLARED
05Scenario model

Transition and physical risk on a portfolio.

Three scenario families after the NGFS framework move a sector portfolio through carbon costs and warming damages; the transmission view follows the losses to lenders, investors, public finances and households. Scenario: named assumptions about the future, not a forecast.

Kontrol

Carbon price at the horizon, orderly path
200 per tCO2
Delay before a disorderly transition
50% of horizon
Cost passed to customers
50%
Warming today above pre-industrial
1.30°C
Warming per decade, current policies
0.25°C
Damage coefficient
0.24% per °C²
Salên pêş
25 years

Xwendin

Worst scenario at the horizon
−33.6% of value
Jimar, rêbaz û çavkanî
SalOrderly transition (% value)Delayed, disorderly transition (% value)Current policies (% value)
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

Rêbaz

  1. Climate scenario families NGFS (2023), Climate Scenarios for central banks and supervisors, Phase IV
  2. Climate stress test of the financial system Battiston and others (2017), Nature Climate Change 7
  3. Damage function Nordhaus (2017), Revisiting the social cost of carbon, PNAS 114
  4. Transmission channels BCBS (2021), Climate-related risk drivers and their transmission channels
  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

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:

  • Dirêjahiyên bajarî Natural Earth
  • Benderên behrê Natural Earth
  • Past year, daily temperature (ERA5 via Open-Meteo) Open-Meteo.com (CC BY 4.0), Copernicus ERA5 (C3S/ECMWF) · register open-meteo.public-pages
  • Surface air temperature, daytime (AIRS) NASA AIRS · register nasa.gibs.context-live-layers
Transition and physical risk on a portfolio. Illustrative teaching model: it runs on the values set by the controls, not on measured data. Methods: Climate scenario families (NGFS (2023), Climate Scenarios for central banks and supervisors, Phase IV); Climate stress test of the financial system (Battiston and others (2017), Nature Climate Change 7); Damage function (Nordhaus (2017), Revisiting the social cost of carbon, PNAS 114).

Li seranserê şeş stûnan, bi pêşengiya Nexus Consortium

06Erêkirin

How results are checked.

Models are back-tested against historical market episodes and crises. Results are compared with supervisory data and alternative specifications.

Kontrol bikinHow it is done
IdentificationCausal claims state how confounding was addressed
RobustnessPricing results are checked across periods and markets
Data qualityEstimated inputs are labelled and their effect tested

Relationships estimated in calm periods may break down in stress. Hidden leverage and interconnections are often unobserved.

07Îmzeya sektorê

Where exposure in Financial economics and macro-finance at Climate and Nature Financial Risk travels.

The sectors that carry exposure in Financial economics and macro-finance at Climate and Nature Financial Risk and how a loss in one passes to the others, across portfolios and public finances.

Goşeyan hilbijêre · li xetan bigere6 / 15 têkilî

Îmze

Cûrbecûrbûna jîndaran û hevkarên wê

Cûrbecûrbûna jîndaran tozkirin û axê dide xwarinê (0.6), rêkxistina hewzê avê dide avê (0.5) û derbasbûna zoonotîk û dermanan dide tenduristiyê (0.4).

W · E · I · F · H · B

Sektor
4 ji 6
Têkilî
6 ji 15
Girêdan
0.46 para ji tevahiyê

Têkiliyên herî xurt ên di lîstikê de

  • Xwarin → Cûrbecûrbûna jîndaran · veguherandina erdê0.6
  • Av → Xwarin · avdan0.8
  • Av → Cûrbecûrbûna jîndaran · herikên jîngehî0.6
  • Xwarin → Tenduristî · xwarina saxlem0.7
Nirxên fêrkirinê ji bo herêmeke bajarî ya tîpîk, ne pîvanên ji bo ti cihekî. Girêdan berhevoka hêza têkiliyên di lîstikê de ye, wekî para hemû pazdehan.
09Exposure, loss and capital

What it 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.

Scenario pathways

How Financial economics and macro-finance at Climate and Nature Financial Risk could be stressed under the scenario families central banks and supervisors use.

OrderlyDisorderlyHot house world202520302035204020452050bilindkêm
Scenario familyTransition riskPhysical riskWhat a stress test asks
OrderlyEarly, gradual policyKêmtirCan the book absorb a steady repricing?
DisorderlyLate, abrupt policyLower to mediumWhat breaks under a sudden repricing and credit migration?
Hot house worldLimited policyHigh and risingWhere do physical losses concentrate in collateral and insurance?
Scenario families as defined by the NGFS; the curves are an illustrative combined pressure index, not NGFS variables or forecasts.
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
10Stewardship

Who maintains the method.

Aramiya darayî stewards financial economics and macro-finance for the Consortium and reviews how it is applied across platforms.

12Pirs

Pirs û bersiv.

What are the limits of financial economics and macro-finance in this field?
Relationships estimated in calm periods may break down in stress. Hidden leverage and interconnections are often unobserved.
How are results checked?
Models are back-tested against historical market episodes and crises. Results are compared with supervisory data and alternative specifications.
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 AllianceXetera fînansî ya avhewa û xwezayêAmadebûna fînans û sîgortayêSenaryo û ceribandina stresê
Xetera fînansî ya avhewa û xwezayê

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.