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

Stressed

11.3%
570 Physical Assets
Attention Required

At Risk

16.9%
854 Physical Assets
For Study

Low Risk

74.6%
3,763 Physical Assets
Low Priority

High Risk

2
Companies

Moderate Risk

6
Companies

Low Risk

16
Companies

Company Vulnerability Ranking

Market Rank:
1
Company:
Sector:
Financials
Material Physical Assets:
104
Risk Level:
Low
Market Rank:
2
Sector:
Financials
Material Physical Assets:
40
Risk Level:
Low
Market Rank:
3
Sector:
Consumer Staples
Material Physical Assets:
15
Risk Level:
Low
Market Rank:
4
Sector:
Consumer Discretionary
Material Physical Assets:
40
Risk Level:
Low
Market Rank:
5
Sector:
Financials
Material Physical Assets:
448
Risk Level:
Low
Market Rank:
6
Sector:
Financials
Material Physical Assets:
403
Risk Level:
Low
Market Rank:
7
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
Sector:
Consumer Discretionary
Material Physical Assets:
81
Risk Level:
Low
Showing 1 to 10 of 24 results
Page 1 of 3

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 Overview

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
  • Expected loss and tail risk analytics
  • 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
  • Custom scheduled bulk-data deliveries
  • On-demand API access

Ready to unlock the full dataset?