Nikkei 225
  • Country: Japan
  • # of Constituents: 225
  • Sector Focus: None
  • Size Segment: Large Cap
  • # of Physical Assets: 130,229
  • # of Simulations: 133.4M
  • Climate Risk Horizon: 2030
  • Climate Pathway: Stochastic

Stranded

2.2%
2,885 Physical Assets
Attention Required

Stressed

23%
29,976 Physical Assets
Attention Required

At Risk

44.9%
58,452 Physical Assets
For Study

Low Risk

29.9%
38,916 Physical Assets
Low Priority

High Risk

145
Companies

Moderate Risk

77
Companies

Low Risk

3
Companies

Company Vulnerability Ranking

Market Rank:
1
Company:
Sector:
Information Technology
Material Physical Assets:
131
Risk Level:
Low
Market Rank:
2
Sector:
Information Technology
Material Physical Assets:
24
Risk Level:
Low
Market Rank:
3
Company:
Sector:
Industrials
Material Physical Assets:
51
Risk Level:
Low
Market Rank:
4
Company:
Sector:
Consumer Staples
Material Physical Assets:
71
Risk Level:
Moderate
Market Rank:
5
Sector:
Information Technology
Material Physical Assets:
12
Risk Level:
Moderate
Market Rank:
6
Sector:
Health Care
Material Physical Assets:
386
Risk Level:
Moderate
Market Rank:
7
Sector:
Information Technology
Material Physical Assets:
51
Risk Level:
Moderate
Market Rank:
8
Sector:
Industrials
Material Physical Assets:
662
Risk Level:
Moderate
Market Rank:
9
Sector:
Information Technology
Material Physical Assets:
169
Risk Level:
Moderate
Market Rank:
10
Company:
Sector:
Consumer Staples
Material Physical Assets:
307
Risk Level:
Moderate
Showing 1 to 10 of 225 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.
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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.
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  • Accounts for compounding hazard risks
  • Enables aggregations and drill-downs on specific assets.

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