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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.

01تۆمارکردن

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

Method recordSTEM method
  1. ڕێگائابووریی دارایی و دارایی گەورە
  2. Applied inمەترسیی داراییی کەشوهەوا و سروشت
  3. داتا3 inputs
  4. Canonical pageSTEM Commons
02بەکارهێنان

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.

03چاودێری

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]بەڵێ
Exposure to high physical risk0.670.05[−0.6, 0.9]بەڵێ
Expected loss uplift, disorderly0.120.18[0.0, 0.9]نەخێر
Nature dependency materiality0.540.12[−0.1, 0.9]بەڵێ

Method card

ڕێگا
ئابووریی دارایی و دارایی گەورە
Sample
10,098 obs
دیزاین
panel, fixed effects
ناونیشان
مۆدێلکراو

Residuals by group

Econometric model: the screen’s structure, terms and states for Climate and nature financial risk.ناو و بەهای نموونەیی؛ دیزاینێکە، نەک تۆمار یان سیستەمی ڕاستەوخۆ.
04داتا

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.

داتاڕۆڵناونیشان
Loan and collateral dataCredit exposureئامارە بڵاوکراوەکان
Market pricesPricing evidenceچاودێریکراو
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.

کۆنترۆڵەکان

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
ساڵەکانی داهاتوو
25 years

خوێندنەوەکان

Worst scenario at the horizon
−33.6% of value
ژمارە، ڕێگا و سەرچاوەکان
ساڵOrderly 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

ڕێگاکان

  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. پەنجەی نادڵنیایی (مۆنتی کارلۆی پارامیتەر) Spiegelhalter, Pearson و Short (2011)، Visualising uncertainty about the future، Science 333
  6. هەستیاریی یەک-یەک (تۆرناد) Saltelli و ئەوانی دیکە (2008)، Global Sensitivity Analysis: The Primer، Wiley

داتا

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:

  • بەرینی شارەکان Natural Earth
  • بەندەرە دەریاییەکان 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).

لە ناو شەش کۆڵەکەکەدا، بە سەرپەرشتیی Nexus Consortium

06پشتڕاستکردنەوە

How results are checked.

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

بپشکنەHow 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.

07واژۆی کەرت

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.

گۆشەکان هەڵبژێرە · بەسەر هێڵەکاندا ڕابوەستە6 / 15 پەیوەندی

واژۆ

فرەجۆریی زیندەوەری و هاوبەشەکانی

فرەجۆریی زیندەوەری گواستنەوەی تۆزی گوڵ و خاک دەداتە خۆراک (0.6)، ڕێکخستنی حەوزی ئاو دەداتە ئاو (0.5) و بڵاوبوونەوەی زوونۆتیک و دەرمان دەداتە تەندروستی (0.4).

W · E · I · F · H · B

کەرتەکان
4 لە 6
پەیوەندییەکان
6 لە 15
هاوبەستی
0.46 بەشی کۆی گشتی

بەهێزترین پەیوەندییەکانی لە کاردا

  • خۆراک → فرەجۆریی زیندەوەری · گۆڕینی زەوی0.6
  • ئاو → خۆراک · ئاودێری0.8
  • ئاو → فرەجۆریی زیندەوەری · ڕەوتی ژینگەیی0.6
  • خۆراک → تەندروستی · خۆراکپێدان0.7
بەهای فێرکاری بۆ ناوچە-شارێکی ئاسایی، نەک پێوانە بۆ هیچ شوێنێک. هاوبەستی کۆی بەهێزی ئەو پەیوەندییانەیە کە لە کاردان، وەک بەشێک لە هەر پانزەکە.
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 world202520302035204020452050بەرزنزم
Scenario familyTransition riskPhysical riskWhat a stress test asks
OrderlyEarly, gradual policyنزمCan 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.

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

11پەیوەست

ئەو شوێنانەی ئەم لاپەڕەیە لە ناو کۆنسۆرتیۆم بۆیان دەبات.

12پرسیارەکان

پرسیار و وەڵام.

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?
ئەو canonical method page lists every platform that applies it.
Reportsبەشداربە

لەم لاپەڕەیەوە بەڵگە پێشکەش بکە.

Reports 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 Allianceمەترسیی داراییی کەشوهەوا و سروشتئامادەیی دارایی و بیمەسیناریۆ و تاقیکردنەوەی گوشار
مەترسیی داراییی کەشوهەوا و سروشت

Bring an exposure or capital question to the Alliance.

زانیاری و پرسیار ئەمڕۆ کراوەن. پرسیارێک ژمارەی ئاماژەی پێدەدرێت و هەنگاوی دواتر دیاری دەکات؛ داواکاری، پارەدان، تەرخانکردنی کۆمپیوتەر و تۆمارکردن تەنیا کاتێک دەکرێنەوە کە تیم، مەرج و توانای پێداچوونەوەیان هەبێت.