South Africa Top 40
- Country: South Africa
- # of Constituents: 40
- Sector Focus: None
- Size Segment: Large Cap
- # of Physical Assets: 19,015
- # of Simulations: 19.5M
- Climate Risk Horizon: 2030
- Climate Pathway: Stochastic
Stranded
0.6%
110 Physical Assets
Attention Required
Attention Required
Stressed
11.9%
2,257 Physical Assets
Attention Required
Attention Required
At Risk
22.9%
4,346 Physical Assets
For Study
For Study
Low Risk
64.7%
12,302 Physical Assets
Low Priority
Low Priority
High Risk
0
Companies
Moderate Risk
17
Companies
Low Risk
22
Companies
Company Vulnerability Ranking
| Market Rank | Company Name | Sector | Material Physical Assets | Risk Level |
|---|---|---|---|---|
Market Rank: 1 | Company: | Sector: Financials | Material Physical Assets: 1 | Risk Level: Low |
Market Rank: 2 | Company: | Sector: Consumer Discretionary | Material Physical Assets: 92 | Risk Level: Low |
Market Rank: 3 | Company: | Sector: Real Estate | Material Physical Assets: 2 | Risk Level: Low |
Market Rank: 4 | Company: | Sector: Materials | Material Physical Assets: 21 | Risk Level: Low |
Market Rank: 5 | Company: | Sector: Health Care | Material Physical Assets: 38 | Risk Level: Low |
Market Rank: 6 | Company: | Sector: Materials | Material Physical Assets: 95 | Risk Level: Low |
Market Rank: 7 | Company: | Sector: Information Technology | Material Physical Assets: 630 | Risk Level: Low |
Market Rank: 8 | Company: | Sector: Information Technology | Material Physical Assets: 895 | Risk Level: Low |
Market Rank: 9 | Company: | Sector: Information Technology | Material Physical Assets: 955 | Risk Level: Low |
Market Rank: 10 | Company: | Sector: Consumer Staples | Material Physical Assets: 152 | 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
- 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
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