S&P/TSX 60
  • Country: Canada
  • # of Constituents: 60
  • Sector Focus: None
  • Size Segment: Large Cap
  • # of Physical Assets: 93,385
  • # of Simulations: 95.6M
  • Climate Risk Horizon: 2030
  • Climate Pathway: Stochastic

Stranded

0.5%
474 Physical Assets
Attention Required

Stressed

11%
10,255 Physical Assets
Attention Required

At Risk

22.6%
21,139 Physical Assets
For Study

Low Risk

65.9%
61,517 Physical Assets
Low Priority

High Risk

2
Companies

Moderate Risk

32
Companies

Low Risk

24
Companies

Company Vulnerability Ranking

Market Rank:
1
Sector:
Materials
Material Physical Assets:
2
Risk Level:
Low
Market Rank:
2
Sector:
Energy
Material Physical Assets:
742
Risk Level:
Low
Market Rank:
3
Company:
Sector:
Energy
Material Physical Assets:
10
Risk Level:
Low
Market Rank:
4
Sector:
Utilities
Material Physical Assets:
248
Risk Level:
Low
Market Rank:
5
Sector:
Energy
Material Physical Assets:
70
Risk Level:
Low
Market Rank:
6
Sector:
Consumer Discretionary
Material Physical Assets:
858
Risk Level:
Low
Market Rank:
7
Sector:
Information Technology
Material Physical Assets:
253
Risk Level:
Low
Market Rank:
8
Company:
Sector:
Consumer Discretionary
Material Physical Assets:
615
Risk Level:
Low
Market Rank:
9
Sector:
Materials
Material Physical Assets:
28
Risk Level:
Low
Market Rank:
10
Sector:
Energy
Material Physical Assets:
2,273
Risk Level:
Low
Showing 1 to 10 of 58 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.

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