IPC Mexico
- Country: Mexico
- # of Constituents: 35
- Sector Focus: None
- Size Segment: Large Cap
- # of Physical Assets: 14,994
- # of Simulations: 15.4M
- Climate Risk Horizon: 2030
- Climate Pathway: Stochastic
Stranded
0.8%
117 Physical Assets
Attention Required
Attention Required
Stressed
19.1%
2,863 Physical Assets
Attention Required
Attention Required
At Risk
20.2%
3,027 Physical Assets
For Study
For Study
Low Risk
59.9%
8,987 Physical Assets
Low Priority
Low Priority
High Risk
2
Companies
Moderate Risk
18
Companies
Low Risk
1
Companies
Company Vulnerability Ranking
| Market Rank | Company Name | Sector | Material Physical Assets | Risk Level |
|---|---|---|---|---|
Market Rank: 1 | Company: | Sector: Materials | Material Physical Assets: 47 | Risk Level: Low |
Market Rank: 2 | Company: | Sector: Consumer Discretionary | Material Physical Assets: 61 | Risk Level: Moderate |
Market Rank: 3 | Sector: Financials | Material Physical Assets: 131 | Risk Level: Moderate | |
Market Rank: 4 | Company: | Sector: Consumer Discretionary | Material Physical Assets: 75 | Risk Level: Moderate |
Market Rank: 5 | Company: | Sector: Consumer Discretionary | Material Physical Assets: 97 | Risk Level: Moderate |
Market Rank: 6 | Company: | Sector: Consumer Discretionary | Material Physical Assets: 292 | Risk Level: Moderate |
Market Rank: 7 | Sector: Financials | Material Physical Assets: 299 | Risk Level: Moderate | |
Market Rank: 8 | Company: | Sector: Consumer Discretionary | Material Physical Assets: 507 | Risk Level: Moderate |
Market Rank: 9 | Company: | Sector: Materials | Material Physical Assets: 25 | Risk Level: Moderate |
Market Rank: 10 | Company: | Sector: Consumer Staples | Material Physical Assets: 2,446 | Risk Level: Moderate |
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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.
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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.
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Secure, intuitive tools that transform complex data into cost-effective climate risk solutions.
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