OMX Stockholm 30
  • Country: Sweden
  • # of Constituents: 30
  • Sector Focus: None
  • Size Segment: Large Cap
  • # of Physical Assets: 9,157
  • # of Simulations: 9.4M
  • Climate Risk Horizon: 2030
  • Climate Pathway: Stochastic

Stranded

0.8%
74 Physical Assets
Attention Required

Stressed

10.2%
935 Physical Assets
Attention Required

At Risk

17.2%
1,572 Physical Assets
For Study

Low Risk

71.8%
6,576 Physical Assets
Low Priority

High Risk

1
Companies

Moderate Risk

12
Companies

Low Risk

16
Companies

Company Vulnerability Ranking

Market Rank:
1
Sector:
Financials
Material Physical Assets:
403
Risk Level:
Low
Market Rank:
2
Sector:
Financials
Material Physical Assets:
300
Risk Level:
Low
Market Rank:
3
Company:
Sector:
Materials
Material Physical Assets:
17
Risk Level:
Low
Market Rank:
4
Company:
Sector:
Information Technology
Material Physical Assets:
167
Risk Level:
Low
Market Rank:
5
Sector:
Financials
Material Physical Assets:
178
Risk Level:
Low
Market Rank:
6
Sector:
Financials
Material Physical Assets:
204
Risk Level:
Low
Market Rank:
7
Company:
Sector:
Information Technology
Material Physical Assets:
34
Risk Level:
Low
Market Rank:
8
Sector:
Information Technology
Material Physical Assets:
405
Risk Level:
Low
Market Rank:
9
Sector:
Materials
Material Physical Assets:
18
Risk Level:
Low
Market Rank:
10
Company:
Sector:
Industrials
Material Physical Assets:
72
Risk Level:
Low
Showing 1 to 10 of 29 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

On-demand physical risk analytics

A patented scenario generation algorithm to power risk identification and cost-benefit analyses.
  • Financial impact & hazard attribution
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  • Enables cash flow and cost-benefit modelling

Stochastic and bottom-up methodology

Built at the physical asset level, methodology that provides visibility of the full future uncertainty.
  • Captures >95% of black swan events
  • Accounts for compounding hazard risks
  • Enables aggregations and drill-downs on specific assets.

Enterprise Solutions that scale with your needs

Secure, intuitive tools that transform complex data into cost-effective climate risk solutions.
  • User interface to connect with the CDT
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