OMX Copenhagen 25
- Country: Denmark
- # of Constituents: 25
- Sector Focus: None
- Size Segment: Large Cap
- # of Physical Assets: 5,043
- # of Simulations: 5.2M
- Climate Risk Horizon: 2030
- Climate Pathway: Stochastic
Stranded
1%
48 Physical Assets
Attention Required
Attention Required
Stressed
11.3%
570 Physical Assets
Attention Required
Attention Required
At Risk
16.9%
854 Physical Assets
For Study
For Study
Low Risk
74.6%
3,763 Physical Assets
Low Priority
Low Priority
High Risk
2
Companies
Moderate Risk
6
Companies
Low Risk
16
Companies
Company Vulnerability Ranking
| Market Rank | Company Name | Sector | Material Physical Assets | Risk Level |
|---|---|---|---|---|
Market Rank: 1 | Company: | Sector: Financials | Material Physical Assets: 104 | Risk Level: Low |
Market Rank: 2 | Company: | Sector: Financials | Material Physical Assets: 40 | Risk Level: Low |
Market Rank: 3 | Company: | Sector: Consumer Staples | Material Physical Assets: 15 | Risk Level: Low |
Market Rank: 4 | Company: | Sector: Consumer Discretionary | Material Physical Assets: 40 | Risk Level: Low |
Market Rank: 5 | Company: | Sector: Financials | Material Physical Assets: 448 | Risk Level: Low |
Market Rank: 6 | Company: | Sector: Financials | Material Physical Assets: 403 | Risk Level: Low |
Market Rank: 7 | Company: | Sector: Health Care | Material Physical Assets: 20 | Risk Level: Low |
Market Rank: 8 | Company: | Sector: Health Care | Material Physical Assets: 6 | Risk Level: Low |
Market Rank: 9 | Company: | Sector: Industrials | Material Physical Assets: 219 | Risk Level: Low |
Market Rank: 10 | Company: | Sector: Consumer Discretionary | Material Physical Assets: 81 | Risk Level: Low |
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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
Download Platform OverviewIntegrated physical asset & climate datasets
The world's most comprehensive physical asset database linked to forward-looking hazard projections.
- 13K parent companies; 80K subsidiaries
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A patented scenario generation algorithm to power risk identification and cost-benefit analyses.
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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.
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Secure, intuitive tools that transform complex data into cost-effective climate risk solutions.
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