Thematic Investment Research Framework
Overview
Thematic investing identifies structural, long-duration trends reshaping economies and captures value across industries united by common secular drivers. This skill provides an eight-phase methodology from theme identification through portfolio implementation.
Research Workflow
Execute phases sequentially, with gate reviews between major phases:
Phase I: Theme Identification & Validation
Phase II: Structural Analysis (TAM, Value Chain, Competition)
Phase III: Universe Construction & Screening
Phase IV: Company Deep Dives
Phase V: Valuation Architecture
Phase VI: Risk Assessment
Phase VII: Report Construction
Phase VIII: Implementation & Monitoring
Phase I: Theme Identification & Validation
Theme Discovery Sources
Monitor systematically:
- Primary: Academic journals, patent databases, regulatory filings, conference proceedings, expert networks
- Secondary: Institutional research, consultancy reports, multilateral publications
- Alternative: Search trends, VC flows, job postings, satellite data
DRIVER Validation Framework
Validate every theme against six criteria before proceeding:
| Criterion |
Question |
| Durability |
Is this structural (demographics, physics, regulation) or temporary? |
| Relevance |
Does it drive revenue growth, margin expansion, or re-rating? |
| Investability |
Are there listed equities with genuine, liquid exposure? |
| Verifiability |
Can thesis elements be empirically tested with leading indicators? |
| Expansion |
Is TAM growing through new use cases or geographies? |
| Rationality |
Is opportunity not fully discounted in current valuations? |
Theme Statement Construction
Structure: [DRIVER] is causing [STRUCTURAL CHANGE], benefiting [BENEFICIARIES] over [TIME HORIZON], measured by [KEY METRICS].
Deliverable: Initial Scoping Document (2-3 pages)
- Theme statement and thesis points
- DRIVER validation assessment
- Hype cycle positioning
- Initial value chain sketch
- Key research questions and data sources
- Preliminary risks and thesis killers
Gate Review: Obtain approval before committing to full research.
→ For detailed validation frameworks: See references/theme-validation.md
Phase II: Structural Analysis
Market Sizing
Apply both approaches and triangulate:
Top-Down: Macro data → penetration rates → growth assumptions → industry forecasts
Bottom-Up: Customer segments → adoption curves → company validation → reconciliation
Value Chain Mapping
For each layer (Upstream → Midstream → Downstream → Adjacent), analyze:
- Gross margin profile
- Competitive intensity
- Bargaining power
- Scale economics
- Capital intensity
- Technology risk
Competitive Dynamics (Porter's Five Forces)
- Industry rivalry: concentration, differentiation, growth vs. capacity
- New entrants: capital, technology, regulatory barriers
- Supplier power: concentration, substitutes, forward integration threat
- Buyer power: concentration, price sensitivity, alternatives
- Substitutes: alternative technologies, price-performance, switching costs
Regulatory Landscape
Document: current framework, pending legislation, subsidies/incentives, geographic variance, political durability
→ For detailed frameworks: See references/structural-analysis.md
Phase III: Universe Construction
Inclusion Criteria
| Criterion |
Pure-Play |
Diversified |
| Revenue Exposure |
>75% |
>10% |
| Strategic Commitment |
High |
Moderate |
| Growth Attribution |
>50% |
>30% |
| Daily Volume |
>$5M |
>$5M |
Exposure Categories
- Pure-Play (>75%): Highest beta, often premium valuation
- Significant (25-75%): Meaningful leverage with diversification
- Enabler (10-25%): Indirect beneficiary, downside protection
- Optionality (<10%): Strategic upside, early-stage exposure
Screening Factors
Quantitative: Market cap, ADV, revenue CAGR, margins, ROIC, leverage, valuation, momentum
Qualitative: Management quality, technology leadership, customer quality, IP strength, ESG, governance
Universe Documentation Fields
Company ID | Thematic Classification | Fundamental Snapshot | Thematic Thesis | Research Status | Catalysts & Risks
→ For detailed criteria: See references/universe-construction.md
Phase IV: Company Deep Dives
Selection Criteria (10-20 companies)
- Highest thematic purity
- Attractive fundamental profile
- Strategic value chain importance
- Differentiated insight potential
- Sufficient liquidity
Business Quality Assessment
Competitive Moat: Network effects, switching costs, intangibles, cost advantages, efficient scale
Management: Track record, incentive alignment, strategic vision, board composition
Financial Analysis Framework
| Area |
Key Metrics |
| Revenue |
Segment breakdown, volume/price/mix, recurring %, customer concentration |
| Profitability |
Gross margin drivers, operating leverage, R&D intensity, path to profit |
| Cash Flow |
OCF conversion, working capital, capex (maintenance vs. growth), FCF margin |
| Balance Sheet |
Leverage, liquidity, asset quality, return capacity |
Thematic Leverage Assessment
- Revenue attribution (current % and projected trajectory)
- Strategic positioning and share dynamics
- Technology alignment and disruption risk
- Customer relationship quality
- Execution capability and track record
Financial Model Requirements
- 5+ years historical, 5-10 years forecast
- Bottom-up revenue by segment with theme drivers
- Margin assumptions tied to scale/competition/mix
- Capital requirements: capex, working capital, M&A
Scenario Framework
| Scenario |
Theme Assumption |
Probability |
| Bull |
Accelerates; company gains share |
20-25% |
| Base |
Develops as expected; executes to plan |
50-60% |
| Bear |
Disappoints/delays; loses position |
20-25% |
| Stress |
Theme fails or thesis breaks |
5-10% |
→ For detailed templates: See references/company-analysis.md
Phase V: Valuation Architecture
Methodology Selection
| Method |
Best For |
Limitations |
| DCF/FCFF |
Profitable, visible cash flows |
Terminal value sensitivity |
| Reverse DCF |
Expectation gap identification |
Requires assumed WACC/margins |
| EV/Revenue |
High-growth unprofitable |
Ignores profitability |
| EV/EBITDA |
Profitable comparisons |
Capex/D&A differences |
| Sum-of-Parts |
Diversified theme exposure |
Segment data quality |
| rNPV |
Pipeline/binary outcomes |
Probability subjectivity |
| LTV/CAC |
Subscription models |
Requires cohort data |
DCF Construction
Revenue: TAM trajectory → SAM → market share → pricing → cross-check
Margins: Material costs (learning curves) → pricing power → mix → target vs. mature peers
WACC: Beta (historical vs. implied), size premium, country risk, execution premium
Terminal Value: Extended forecast (10+ years), conservative perpetual growth, exit multiple cross-check
Valuation Integration
- Scenario-weighted DCF (probability × value per scenario)
- Comparable multiples on forecast financials
- Sum-of-parts where applicable
- Triangulate to conviction range
- Set target at weighted average or conservative bound
→ For detailed methodologies: See references/valuation-methods.md
Phase VI: Risk Assessment
Theme-Level Risks
| Risk |
Description |
Monitoring |
| Timing |
Longer development than anticipated |
Adoption curves, milestones |
| Magnitude |
TAM overestimated |
Market size revisions, unit economics |
| Displacement |
Alternative supersedes thesis |
Patents, VC activity, breakthroughs |
| Regulatory |
Policy undermines economics |
Legislation, political shifts |
| Crowding |
Consensus; valuations discount gains |
Fund flows, ETF assets, multiples |
Company-Level Risks
- Execution: Management track record, guidance accuracy
- Competitive: Win/loss tracking, customer surveys
- Financial: Cash runway, covenants, capital access
- Key Person: Management depth, succession
- Technology: Patent strength, R&D productivity
- ESG/Reputation: Ratings, controversy tracking
Risk Scoring Matrix
|
Low Impact (1) |
Medium (2) |
High (3) |
| Low Prob (1) |
1: Monitor |
2: Monitor |
3: Plan |
| Med Prob (2) |
2: Monitor |
4: Plan |
6: Mitigate |
| High Prob (3) |
3: Plan |
6: Mitigate |
9: Critical |
Thesis Killer Definition
Must be: Specific & measurable, Observable, Pre-committed, Action-triggering
Examples:
- Theme: "EV battery costs rise for two consecutive quarters"
- Company: "Market share falls below 15% in core segment"
- Valuation: "Stock trades above 50x forward for 6+ months"
→ For detailed frameworks: See references/risk-assessment.md
Phase VII: Report Construction
Standard Structure
| Section |
Length |
Content |
| Executive Summary |
1-2 pp |
Thesis, findings, recommendations, risks, sizing |
| Theme Deep Dive |
5-10 pp |
Drivers, TAM, value chain, competition, regulation |
| Company Profiles |
3-5 pp each |
Overview, positioning, financials, valuation, risks |
| Risk Assessment |
2-3 pp |
Theme/company risks, thesis killers, mitigants |
| Implementation |
1-2 pp |
Portfolio construction, timing, monitoring, exits |
| Appendices |
Variable |
Models, universe, sources, glossary, disclosures |
Quality Standards
- All claims sourced or derived from explicit assumptions
- Forecasts include sensitivity analysis
- Competing hypotheses acknowledged
- Logic chain explicit: drivers → recommendations
- Executive summary enables standalone decision-making
→ For detailed templates: See references/report-structure.md
Phase VIII: Implementation & Monitoring
Position Sizing
| Conviction |
Size |
Criteria |
Review |
| High |
4-6% |
Deep dive complete; multiple valuation support; clear catalysts |
Monthly |
| Medium |
2-4% |
Fundamental work complete; timing/execution uncertainty |
Bi-weekly |
| Speculative |
1-2% |
High potential but significant risks; option-like payoff |
Weekly |
| Watch List |
0% |
Interesting but valuation/thesis not compelling |
Quarterly |
Adjust for: volatility, correlation, downside scenario survival, portfolio constraints
Entry Execution
- Timing: Catalyst proximity, technical context, liquidity, market regime
- Staged Entry: Initial (40-50%) → Confirmation (30-40%) → Catalyst (10-30%)
Monitoring Framework
| Level |
Indicators |
Frequency |
| Theme |
Adoption, pricing, competition, policy, sentiment |
Monthly-Quarterly |
| Company |
Earnings, KPIs, strategy, positioning, valuation |
Post-earnings minimum |
Exit Criteria
| Type |
Trigger |
Action |
| Target Achieved |
Price at target; thesis reflected |
Trim 50-100% |
| Thesis Broken |
Assumption invalidated; killer triggered |
Exit 100% |
| Better Opportunity |
Superior risk/reward in theme |
Rotate |
| Theme Maturation |
Consensus; crowding elevated |
Reduce systematically |
| Risk Management |
Position exceeds limits |
Trim to target |
Review Cadence
- Position: After earnings; monthly minimum
- Theme: Quarterly
- Universe Refresh: Semi-annually
- Full Research Update: Annually
→ For detailed frameworks: See references/implementation.md
Quick Reference: Checklists
Use checklists in assets/ for standardized execution:
theme-validation-checklist.md: DRIVER framework validationcompany-deep-dive-checklist.md: Fundamental analysis completionrisk-scoring-template.md: Probability/impact assessment
Research Sources Reference
Data: Bloomberg, FactSet, Capital IQ, Refinitiv, PitchBook
Industry: Gartner, IDC, IHS Markit, Wood Mackenzie, IQVIA, BloombergNEF
Alternative: Google Trends, SimilarWeb, Glassdoor, Orbital Insight, Thinknum
1---2name: thematic-investment-research3description: Comprehensive framework for conducting institutional-quality thematic investment research. Use when the user asks to: (1) Identify and validate investment themes, (2) Analyze thematic market opportunities and value chains, (3) Build a thematic stock universe and screen candidates, (4) Conduct company deep dives with thematic focus, (5) Value companies using theme-appropriate methodologies, (6) Assess theme-level and company-level risks, (7) Write thematic research reports, (8) Design portfolio implementation and monitoring frameworks. Triggers on phrases like thematic research, investment theme, secular trend analysis, theme validation, thematic universe, value chain mapping, or requests for structured investment research methodology.4---56# Thematic Investment Research Framework78## Overview910Thematic investing identifies structural, long-duration trends reshaping economies and captures value across industries united by common secular drivers. This skill provides an eight-phase methodology from theme identification through portfolio implementation.1112## Research Workflow1314Execute phases sequentially, with gate reviews between major phases:1516```17Phase I: Theme Identification & Validation18Phase II: Structural Analysis (TAM, Value Chain, Competition)19Phase III: Universe Construction & Screening20Phase IV: Company Deep Dives21Phase V: Valuation Architecture22Phase VI: Risk Assessment23Phase VII: Report Construction24Phase VIII: Implementation & Monitoring25```2627## Phase I: Theme Identification & Validation2829### Theme Discovery Sources3031Monitor systematically:32- **Primary**: Academic journals, patent databases, regulatory filings, conference proceedings, expert networks33- **Secondary**: Institutional research, consultancy reports, multilateral publications34- **Alternative**: Search trends, VC flows, job postings, satellite data3536### DRIVER Validation Framework3738Validate every theme against six criteria before proceeding:3940| Criterion | Question |41|-----------|----------|42| **D**urability | Is this structural (demographics, physics, regulation) or temporary? |43| **R**elevance | Does it drive revenue growth, margin expansion, or re-rating? |44| **I**nvestability | Are there listed equities with genuine, liquid exposure? |45| **V**erifiability | Can thesis elements be empirically tested with leading indicators? |46| **E**xpansion | Is TAM growing through new use cases or geographies? |47| **R**ationality | Is opportunity not fully discounted in current valuations? |4849### Theme Statement Construction5051Structure: `[DRIVER] is causing [STRUCTURAL CHANGE], benefiting [BENEFICIARIES] over [TIME HORIZON], measured by [KEY METRICS].`5253### Deliverable: Initial Scoping Document (2-3 pages)54- Theme statement and thesis points55- DRIVER validation assessment56- Hype cycle positioning57- Initial value chain sketch58- Key research questions and data sources59- Preliminary risks and thesis killers6061**Gate Review**: Obtain approval before committing to full research.6263→ For detailed validation frameworks: See `references/theme-validation.md`6465## Phase II: Structural Analysis6667### Market Sizing6869Apply both approaches and triangulate:7071**Top-Down**: Macro data → penetration rates → growth assumptions → industry forecasts72**Bottom-Up**: Customer segments → adoption curves → company validation → reconciliation7374### Value Chain Mapping7576For each layer (Upstream → Midstream → Downstream → Adjacent), analyze:77- Gross margin profile78- Competitive intensity79- Bargaining power80- Scale economics81- Capital intensity82- Technology risk8384### Competitive Dynamics (Porter's Five Forces)85- Industry rivalry: concentration, differentiation, growth vs. capacity86- New entrants: capital, technology, regulatory barriers87- Supplier power: concentration, substitutes, forward integration threat88- Buyer power: concentration, price sensitivity, alternatives89- Substitutes: alternative technologies, price-performance, switching costs9091### Regulatory Landscape92Document: current framework, pending legislation, subsidies/incentives, geographic variance, political durability9394→ For detailed frameworks: See `references/structural-analysis.md`9596## Phase III: Universe Construction9798### Inclusion Criteria99100| Criterion | Pure-Play | Diversified |101|-----------|-----------|-------------|102| Revenue Exposure | >75% | >10% |103| Strategic Commitment | High | Moderate |104| Growth Attribution | >50% | >30% |105| Daily Volume | >$5M | >$5M |106107### Exposure Categories108- **Pure-Play** (>75%): Highest beta, often premium valuation109- **Significant** (25-75%): Meaningful leverage with diversification110- **Enabler** (10-25%): Indirect beneficiary, downside protection111- **Optionality** (<10%): Strategic upside, early-stage exposure112113### Screening Factors114115**Quantitative**: Market cap, ADV, revenue CAGR, margins, ROIC, leverage, valuation, momentum116**Qualitative**: Management quality, technology leadership, customer quality, IP strength, ESG, governance117118### Universe Documentation Fields119Company ID | Thematic Classification | Fundamental Snapshot | Thematic Thesis | Research Status | Catalysts & Risks120121→ For detailed criteria: See `references/universe-construction.md`122123## Phase IV: Company Deep Dives124125### Selection Criteria (10-20 companies)126- Highest thematic purity127- Attractive fundamental profile128- Strategic value chain importance129- Differentiated insight potential130- Sufficient liquidity131132### Business Quality Assessment133134**Competitive Moat**: Network effects, switching costs, intangibles, cost advantages, efficient scale135**Management**: Track record, incentive alignment, strategic vision, board composition136137### Financial Analysis Framework138139| Area | Key Metrics |140|------|-------------|141| Revenue | Segment breakdown, volume/price/mix, recurring %, customer concentration |142| Profitability | Gross margin drivers, operating leverage, R&D intensity, path to profit |143| Cash Flow | OCF conversion, working capital, capex (maintenance vs. growth), FCF margin |144| Balance Sheet | Leverage, liquidity, asset quality, return capacity |145146### Thematic Leverage Assessment147- Revenue attribution (current % and projected trajectory)148- Strategic positioning and share dynamics149- Technology alignment and disruption risk150- Customer relationship quality151- Execution capability and track record152153### Financial Model Requirements154- 5+ years historical, 5-10 years forecast155- Bottom-up revenue by segment with theme drivers156- Margin assumptions tied to scale/competition/mix157- Capital requirements: capex, working capital, M&A158159### Scenario Framework160161| Scenario | Theme Assumption | Probability |162|----------|------------------|-------------|163| Bull | Accelerates; company gains share | 20-25% |164| Base | Develops as expected; executes to plan | 50-60% |165| Bear | Disappoints/delays; loses position | 20-25% |166| Stress | Theme fails or thesis breaks | 5-10% |167168→ For detailed templates: See `references/company-analysis.md`169170## Phase V: Valuation Architecture171172### Methodology Selection173174| Method | Best For | Limitations |175|--------|----------|-------------|176| DCF/FCFF | Profitable, visible cash flows | Terminal value sensitivity |177| Reverse DCF | Expectation gap identification | Requires assumed WACC/margins |178| EV/Revenue | High-growth unprofitable | Ignores profitability |179| EV/EBITDA | Profitable comparisons | Capex/D&A differences |180| Sum-of-Parts | Diversified theme exposure | Segment data quality |181| rNPV | Pipeline/binary outcomes | Probability subjectivity |182| LTV/CAC | Subscription models | Requires cohort data |183184### DCF Construction185186**Revenue**: TAM trajectory → SAM → market share → pricing → cross-check187**Margins**: Material costs (learning curves) → pricing power → mix → target vs. mature peers188**WACC**: Beta (historical vs. implied), size premium, country risk, execution premium189**Terminal Value**: Extended forecast (10+ years), conservative perpetual growth, exit multiple cross-check190191### Valuation Integration1921. Scenario-weighted DCF (probability × value per scenario)1932. Comparable multiples on forecast financials1943. Sum-of-parts where applicable1954. Triangulate to conviction range1965. Set target at weighted average or conservative bound197198→ For detailed methodologies: See `references/valuation-methods.md`199200## Phase VI: Risk Assessment201202### Theme-Level Risks203204| Risk | Description | Monitoring |205|------|-------------|------------|206| Timing | Longer development than anticipated | Adoption curves, milestones |207| Magnitude | TAM overestimated | Market size revisions, unit economics |208| Displacement | Alternative supersedes thesis | Patents, VC activity, breakthroughs |209| Regulatory | Policy undermines economics | Legislation, political shifts |210| Crowding | Consensus; valuations discount gains | Fund flows, ETF assets, multiples |211212### Company-Level Risks213- Execution: Management track record, guidance accuracy214- Competitive: Win/loss tracking, customer surveys215- Financial: Cash runway, covenants, capital access216- Key Person: Management depth, succession217- Technology: Patent strength, R&D productivity218- ESG/Reputation: Ratings, controversy tracking219220### Risk Scoring Matrix221222| | Low Impact (1) | Medium (2) | High (3) |223|--|----------------|------------|----------|224| Low Prob (1) | 1: Monitor | 2: Monitor | 3: Plan |225| Med Prob (2) | 2: Monitor | 4: Plan | 6: Mitigate |226| High Prob (3) | 3: Plan | 6: Mitigate | 9: Critical |227228### Thesis Killer Definition229Must be: Specific & measurable, Observable, Pre-committed, Action-triggering230231Examples:232- Theme: "EV battery costs rise for two consecutive quarters"233- Company: "Market share falls below 15% in core segment"234- Valuation: "Stock trades above 50x forward for 6+ months"235236→ For detailed frameworks: See `references/risk-assessment.md`237238## Phase VII: Report Construction239240### Standard Structure241242| Section | Length | Content |243|---------|--------|---------|244| Executive Summary | 1-2 pp | Thesis, findings, recommendations, risks, sizing |245| Theme Deep Dive | 5-10 pp | Drivers, TAM, value chain, competition, regulation |246| Company Profiles | 3-5 pp each | Overview, positioning, financials, valuation, risks |247| Risk Assessment | 2-3 pp | Theme/company risks, thesis killers, mitigants |248| Implementation | 1-2 pp | Portfolio construction, timing, monitoring, exits |249| Appendices | Variable | Models, universe, sources, glossary, disclosures |250251### Quality Standards252- All claims sourced or derived from explicit assumptions253- Forecasts include sensitivity analysis254- Competing hypotheses acknowledged255- Logic chain explicit: drivers → recommendations256- Executive summary enables standalone decision-making257258→ For detailed templates: See `references/report-structure.md`259260## Phase VIII: Implementation & Monitoring261262### Position Sizing263264| Conviction | Size | Criteria | Review |265|------------|------|----------|--------|266| High | 4-6% | Deep dive complete; multiple valuation support; clear catalysts | Monthly |267| Medium | 2-4% | Fundamental work complete; timing/execution uncertainty | Bi-weekly |268| Speculative | 1-2% | High potential but significant risks; option-like payoff | Weekly |269| Watch List | 0% | Interesting but valuation/thesis not compelling | Quarterly |270271Adjust for: volatility, correlation, downside scenario survival, portfolio constraints272273### Entry Execution274- **Timing**: Catalyst proximity, technical context, liquidity, market regime275- **Staged Entry**: Initial (40-50%) → Confirmation (30-40%) → Catalyst (10-30%)276277### Monitoring Framework278279| Level | Indicators | Frequency |280|-------|------------|-----------|281| Theme | Adoption, pricing, competition, policy, sentiment | Monthly-Quarterly |282| Company | Earnings, KPIs, strategy, positioning, valuation | Post-earnings minimum |283284### Exit Criteria285286| Type | Trigger | Action |287|------|---------|--------|288| Target Achieved | Price at target; thesis reflected | Trim 50-100% |289| Thesis Broken | Assumption invalidated; killer triggered | Exit 100% |290| Better Opportunity | Superior risk/reward in theme | Rotate |291| Theme Maturation | Consensus; crowding elevated | Reduce systematically |292| Risk Management | Position exceeds limits | Trim to target |293294### Review Cadence295- Position: After earnings; monthly minimum296- Theme: Quarterly297- Universe Refresh: Semi-annually298- Full Research Update: Annually299300→ For detailed frameworks: See `references/implementation.md`301302## Quick Reference: Checklists303304Use checklists in `assets/` for standardized execution:305- `theme-validation-checklist.md`: DRIVER framework validation306- `company-deep-dive-checklist.md`: Fundamental analysis completion307- `risk-scoring-template.md`: Probability/impact assessment308309## Research Sources Reference310311**Data**: Bloomberg, FactSet, Capital IQ, Refinitiv, PitchBook312**Industry**: Gartner, IDC, IHS Markit, Wood Mackenzie, IQVIA, BloombergNEF313**Alternative**: Google Trends, SimilarWeb, Glassdoor, Orbital Insight, Thinknum
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