Carbon Footprint Investment Tracker
Track and analyze the carbon footprint of your investment holdings.
🎓 Learn About Portfolio Carbon Risk
Explore how different sector allocations affect your portfolio's exposure to climate transition risks.Educational tool only - see limitations tab for professional analysis requirements.
Start with a template or create a custom allocation
Market index for comparison
Results
Enter values and click Calculate to see results
Methodology
This educational tool uses simplified sector-based carbon risk scores (1-10 scale) to demonstrate how portfolio allocation affects climate transition risk. Scores are educational estimates based on typical sector characteristics, not actual company emissions data. Portfolio risk is calculated as the weighted average of sector allocations. This is designed for learning concepts of carbon risk in investing, not for precise emissions measurement or investment decision-making.
Important Disclaimers:
- 🚨 EDUCATIONAL PURPOSE ONLY - Not for investment decisions or ESG reporting
- Uses simplified sector averages, not actual company-specific emissions data
- Risk scores are educational estimates, not precise financial risk measurements
- Does not account for company-specific transition plans or innovations
- No actual emissions calculations or regulatory compliance features
- For real analysis, consult professional ESG data providers (MSCI, Sustainalytics, Bloomberg ESG)
- Always consult qualified financial advisors for investment decisions
- This tool cannot replace professional portfolio analysis or due diligence
About This Calculator
1. What is this Portfolio Carbon Risk Assessment tool?
This is an educational tool designed to teach basic concepts of carbon risk in investing. It uses simplified sector-based risk scores (1-10 scale) to show how portfolio allocation affects exposure to climate transition risks. It does NOT provide actual carbon footprint measurements or real emissions data - it's purely for learning purposes.
2. Why did you simplify this so much compared to professional tools?
Professional carbon footprint analysis requires company-specific emissions data, complex attribution methodologies, and regular data updates that aren't feasible in a frontend-only educational tool. Rather than provide misleading precision with fake data, we chose to focus on teaching concepts using honest, simplified estimates with clear limitations.
3. What do the carbon risk scores mean?
The 1-10 risk scores represent educational estimates of how exposed different sectors typically are to climate transition risks. Technology (2.5/10) generally faces lower regulatory and transition risks than Energy (9.0/10). These are broad generalizations for learning purposes, not precise risk measurements for any specific company or investment.
4. Can I use this for actual investment decisions?
Absolutely not. This tool is designed purely for educational purposes to understand concepts. For real investment analysis, you need professional ESG data providers like MSCI ESG, Sustainalytics, S&P Global ESG, or Bloomberg ESG, plus qualified financial advisors who can integrate carbon risk with comprehensive investment analysis.
5. What would real carbon footprint analysis include?
Professional analysis requires: company-specific Scope 1, 2, and 3 emissions data; revenue and financial metrics for proper intensity calculations; forward-looking company transition plans; integration with financial valuation models; regular data updates and verification; scenario analysis under different climate pathways; and integration with broader ESG and financial factors.
6. How is this different from the original version?
The original version had fundamental mathematical errors (multiplying carbon intensity by market cap instead of revenue), used fake precision with made-up company data, and had overly complex UX that created cognitive overload. This version is honest about being educational-only, uses simplified risk scores instead of fake emissions data, and focuses on teaching concepts rather than providing false precision.