STOXX 600
  • Country: World
  • # of Constituents: 600
  • Sector Focus: None
  • Size Segment: Broad
  • # of Physical Assets: 389,547
  • # of Simulations: 398.9M
  • Climate Risk Horizon: 2030
  • Climate Pathway: Stochastic

Stranded

1%
4,048 Physical Assets
Attention Required

Stressed

10.3%
40,153 Physical Assets
Attention Required

At Risk

21.2%
82,683 Physical Assets
For Study

Low Risk

67.4%
262,663 Physical Assets
Low Priority

High Risk

26
Companies

Moderate Risk

275
Companies

Low Risk

285
Companies

Company Vulnerability Ranking

Market Rank:
1
Company:
Argen-X
Sector:
Health Care
Material Physical Assets:
2
Risk Level:
Low
Market Rank:
2
Company:
Cofinimmo SA
Sector:
Real Estate
Material Physical Assets:
1
Risk Level:
Low
Market Rank:
3
Company:
Sydbank
Sector:
Financials
Material Physical Assets:
104
Risk Level:
Low
Market Rank:
4
Company:
Exor NV
Sector:
Industrials
Material Physical Assets:
1
Risk Level:
Low
Market Rank:
5
Company:
Rational AG
Sector:
Consumer Staples
Material Physical Assets:
6
Risk Level:
Low
Market Rank:
6
Company:
Jyske Bank A/S
Sector:
Financials
Material Physical Assets:
40
Risk Level:
Low
Market Rank:
7
Company:
Redcare Pharmacy NV
Sector:
Consumer Discretionary
Material Physical Assets:
12
Risk Level:
Low
Market Rank:
8
Company:
P/f Bakkafrost
Sector:
Consumer Discretionary
Material Physical Assets:
1
Risk Level:
Low
Market Rank:
9
Company:
Kesko Oyj
Sector:
Consumer Discretionary
Material Physical Assets:
1,351
Risk Level:
Low
Market Rank:
10
Company:
Ringkjoebing Landbobank A/S
Sector:
Financials
Material Physical Assets:
15
Risk Level:
Low
Showing 1 to 10 of 586 results
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Learn about the Climate Digital Twin (CDT™)

The first global stochastic climate simulator built for financial institutions, government agencies, corporates, and the communities they serve

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Integrated physical asset & climate datasets

The world's most comprehensive physical asset database linked to forward-looking hazard projections.
  • 13K parent companies; 80K subsidiaries
  • 6M physical assets and metadata
  • 70 hazards with global, high-resolution coverage

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A patented scenario generation algorithm to power risk identification and cost-benefit analyses.
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Stochastic and bottom-up methodology

Built at the physical asset level, methodology that provides visibility of the full future uncertainty.
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  • Accounts for compounding hazard risks
  • Enables aggregations and drill-downs on specific assets.

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