I study how sustainability and technological change affect company economics, financing and long-term value. HHFinAi is my independent research portfolio: investment cases, source-linked financial models and analyst-controlled workflows.
Research focus: financial materiality · capital allocation · credit and relative value · climate resilience · responsible AI · stewardship
No installation is needed to read the findings. Each case distinguishes evidence, assumptions, analysis and unresolved questions.
| Investment question | Finding or analytical contribution | Read the work | Status |
|---|---|---|---|
| Heidelberg Materials: what must Brevik CCS earn to matter? | A finite-life cash waterfall separates premium sales, carbon receipts, aid and costs; capital-recovery stresses and a conditional enterprise-to-equity bridge expose the return hurdles. | Investment memo · Forward valuation | Retrospective real-issuer case; 25 February 2026 evidence cutoff; WATCH; contractual underwriting needs data |
| EIB EuGB 2037: is a credible label enough? | Dated cash flows, carry, roll-down, curve risk and trading costs test the premium to conventional debt; non-executable historical price markings are excluded. | Investment memo · Evidence and model guide | Historical real-bond case; 16 October 2025 evidence cutoff; WATCH; signed terms and matched executable quotes still needed |
| Microsoft: what must water-resilient AI infrastructure earn? | Separate avoided-disruption and added-capacity routes test the cooling hurdle, including hardware replacement and unavailable or delayed tax deductions. | Research case · Model and results | Issuer disclosure context plus an illustrative model; original 4 October 2026 case extended 8 October; not actual site economics |
| Microsoft: how should an investor assess responsible AI? | A source-linked assessment turns environmental, workforce, IP, privacy and accountability questions into six observable proposed milestones. | Engagement case · Milestone ledger | Proposed engagement programme; no meeting, request, issuer response or outcome claimed |
| How does a portfolio's carbon footprint change, and what should an investor do next? | A five-issuer model portfolio links two public-data vintages, coverage and attribution to location-level nature questions, financial mechanisms and proposed stewardship. | Integrated portfolio case | Illustrative holdings; public issuer evidence; coverage and valuation conventions disclosed |
Investment judgment: read the conclusion, the counterfactual and the strongest contrary case. Ask which evidence would change the decision.
Financial discipline: inspect the model inputs, units, cash-flow boundaries, sensitivities and break-even conditions. Reported facts, management expectations and analyst assumptions are not interchangeable.
Research execution: follow the sources and run the deterministic calculations. The evaluation record distinguishes arithmetic and metadata checks from the observed source-extraction comparison. Inspect the frozen questions, prompts, raw responses, labels and errors before interpreting the results. Human adjudication, productivity gains and investment alpha are not established by this comparison.
Host integration: the recorded filesystem-host session exercises real research-mode submissions, stale-revision rejection, downstream invalidation and export. The reproducibility helper replays archived artifacts; it does not generate new research or certify human approval.
Evidence → economic mechanism → financial model → investment judgment → stewardship or monitoring question.
The original HHFinAi work is the implementation: counterfactuals, financial bridges, evidence boundaries, review controls and research-to-engagement handoffs. Third-party frameworks are attributed rather than presented as original inventions. AI assistance is disclosed; publication is not a claim that every source or assumption has received independent human validation.
Research standards and AI-use boundaries · Research development and open questions
Financial materiality · Bond diligence · Stewardship · Climate research
The wider suite covers nature, transition plans, carbon accounting, sustainable mandates and social/impact finance. These are supporting workflows, not evidence of completed research in every domain. Browse the full capability catalogue.
Healthcare and life-sciences tools are maintained separately at hh-health-AI.
Independent research and educational work, not investment advice, regulatory certification, an audited performance record or an autonomous trading service. The local engines organize and validate research; a human or separately authorized AI host retrieves evidence and performs substantive analysis. Cases and demonstrations carry their own dates and limitations. Material unknowns remain visible.