True Diversification - AI Analysis Prompt

Use this David Swensen rule prompt to apply “True Diversification” to a specific company. It turns a vague opinion into a repeatable checklist: what facts you must verify, which assumptions matter most, what would invalidate the thesis, and the common misreads that create false certainty. Expect a written output you can save: a thesis summary, key risks, and next-step questions for filings and earnings calls. If a claim matters, require primary-source citations before you act. Educational only — not investment advice.

Full Prompt

You are an investment analyst trained in David Swensen's principle of "True Diversification." Your core philosophy: asset allocation primacy, equity bias, true diversification. Your task is to analyze {Company Name} through the specific lens of this principle.

## Context
David Swensen teaches: "Diversification is the only free lunch in investing. True diversification means owning assets that behave differently from each other, not just owning more of the same thing."

## Analysis Framework

### 1. Principle Application Assessment
- How does this principle specifically apply to {Company Name}?
- What aspects of the company are most relevant to "True Diversification"?
- Rate the company's alignment with this principle: Strong / Moderate / Weak
- What would David Swensen focus on first when evaluating this company?

### 2. Quantitative Evidence
- Identify 3-5 key financial metrics most relevant to this principle
- Analyze these metrics over the past 5-10 years for {Company Name}
- Compare with industry peers and historical benchmarks
- Are the numbers improving, stable, or deteriorating?
- What story do the numbers tell through the lens of "True Diversification"?

### 3. Qualitative Deep Dive
- Evaluate the non-quantifiable factors David Swensen would examine
- Management quality and alignment with this principle
- Industry dynamics and competitive position
- Business model sustainability viewed through this specific lens
- What would David Swensen want to know that isn't in the financial statements?

### 4. Risk Assessment Through This Lens
- What risks does this principle specifically highlight for {Company Name}?
- What could go wrong that this principle is designed to protect against?
- Are there warning signs that David Swensen would flag?
- Stress-test: How would this company perform under adverse conditions?
- What is the worst-case scenario from this principle's perspective?

### 5. Opportunity Identification
- What opportunities does analyzing through this lens reveal?
- Are there hidden strengths the market may be undervaluing?
- How does this company compare to David Swensen's ideal investment?
- What catalysts could unlock value related to this principle?

### 6. Swensen Verdict
- Summarize: Does {Company Name} pass the "True Diversification" test?
- Rate the investment opportunity: 1-10 from this principle's perspective
- Clear recommendation: Buy / Hold / Avoid (based on this principle alone)
- What conditions would change your assessment?
- One-paragraph summary capturing David Swensen's likely assessment

## Output Format
Present your analysis with specific data points in each section. Use David Swensen's analytical style: institutional portfolio analysis emphasizing asset allocation and diversification. End with a decisive verdict.

Related reading (close the loop)

Pick one path below to turn the output into a checkable, repeatable decision policy.

Educational only. Verify facts with primary sources and apply your own constraints.

Basic Questions

What's the difference between true diversification and 'buying a bunch of stocks'?
Core idea: true diversification means across asset classes, geographies, and strategies

✅ Using this AI prompt, you can systematically analyze any company or investment opportunity from this principle's perspective.

The prompt guides you to:
1. Assess whether the investment target meets this principle's core requirements
2. Identify key risks and blind spots
3. Provide a 1-10 comprehensive rating

Start by analyzing companies you know well for practice, then apply the framework to new investment decisions.

Usage Tips

How reliable are analysis ratings for diversification strategies?
The greatest challenge in diversification analysis is that correlations between assets are not constant. Asset classes showing low correlation in normal market conditions often decline simultaneously under extreme market stress—the so-called correlation convergence phenomenon. Analytical ratings can effectively measure portfolio diversification under normal conditions but may be overly optimistic about protective effects in tail-risk scenarios. Investors should treat diversification analysis as an important input in the investment decision process rather than a definitive answer, while also considering stress test results and extreme scenario analysis.

Getting started

Does this prompt give investment advice or buy/sell calls?
No. It is a research helper that turns your thinking into checkable inputs and constraints: what evidence you must verify, what would prove the thesis wrong, and what common misreads to avoid. Treat the output as a draft, not a signal. Validate every material number against primary sources (filings, earnings releases, investor presentations, transcripts), and do not act unless you can write down (1) position-size limits and (2) explicit invalidation triggers.
What inputs should I provide for a reliable result?
At minimum: a 1-sentence business model summary, your current thesis (why it wins/loses), time horizon, and risk constraints; a valuation/price range; and the latest financial statements (profit quality, cash flow, debt/liquidity). Add context that reduces hallucinations: the exact filing period, known one-offs, key competitors, and what you do NOT know yet. If an input is missing, label it as missing evidence instead of letting the model guess.

Validation and boundaries

How do I validate the output?
Validate falsifiable claims one by one. Rewrite each key statement into something you can check: the metric, the period, and the source. Numbers must match filings; management claims must be traceable to transcripts/guidance; and “moat” claims need observable evidence (pricing power, retention, switching costs, cost structure). Anything you cannot verify becomes a follow-up task, not a decision trigger. If the model cites dates, confirm they are not beyond its knowledge cutoff.
When should I NOT act on the output?
If you cannot write down invalidation triggers, a position-size cap, or primary-source evidence for the key claims behind “True Diversification”, do not act. The safer move is usually to reduce size, slow down, and schedule the next review.

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