skills/bigdata-variant-perception/references/faves-framework.md

# FaVeS Framework for Variant Perception

## Overview

The FaVeS framework provides a structured approach to identifying investment opportunities where your view meaningfully differs from market consensus. Developed to systematically evaluate the components of a potential investment thesis, FaVeS forces analytical rigor before committing capital.

As Drew Jones articulated: **"If you don't have an out-of-consensus view, you don't have a reason to own it. The only way to outperform is to do something different from the benchmark."**

## Table of Contents
1. [Framework Components](#framework-components)
2. [Application Process](#application-process)
3. [Decision Framework](#decision-framework)
4. [Common Pitfalls](#common-pitfalls)
5. [Integration with Investment Process](#integration-with-investment-process)

---

## Framework Components

### Fa - Fundamentals

The objective assessment of business quality and financial trajectory.

**Key Questions:**

| Dimension | Critical Questions |
|-----------|-------------------|
| Business Quality | What is the source of competitive advantage? Is it durable? |
| Unit Economics | Are incremental returns attractive? What is the ROIC trajectory? |
| Growth Drivers | What is the runway for organic growth? Is it structural or cyclical? |
| Management | Do they have a track record of value creation and prudent capital allocation? |
| Financial Health | Is the balance sheet appropriate for the business risk? |
| Industry Structure | Is the competitive environment favorable or deteriorating? |

**Analytical Outputs:**
- Normalized earnings power
- Sustainable growth rate
- ROIC vs WACC spread
- Free cash flow conversion

---

### Ve - Valuation

Assessment of current price relative to intrinsic value across scenarios.

**Key Questions:**

| Dimension | Critical Questions |
|-----------|-------------------|
| Absolute Value | What is intrinsic value under base, bull, and bear scenarios? |
| Relative Value | How does valuation compare to peers, history, and private market values? |
| Implied Expectations | What must happen to justify current price? Is this realistic? |
| Downside Protection | What provides support if thesis fails? Asset value? Strategic value? |
| Optionality | What positive scenarios are not reflected in current price? |

**Valuation Outputs:**
- Discounted cash flow range
- Reverse DCF implied assumptions
- Sum-of-parts analysis
- Comparable transaction multiples

---

### S - Sentiment

Understanding market positioning and the psychology embedded in price.

**Key Questions:**

| Dimension | Critical Questions |
|-----------|-------------------|
| Positioning | Who owns it? Who is selling? What is short interest? |
| Expectations | What does consensus expect for growth, margins, returns? |
| Narrative | What is the prevailing story? Is it accurate or stale? |
| Crowding | Is this a consensus long or consensus short? |
| Technical | What does price action suggest about supply/demand dynamics? |
| Catalysts | What events could shift sentiment? When might they occur? |

**Sentiment Outputs:**
- Institutional ownership trends
- Sell-side ratings distribution
- Short interest and borrow cost
- Options-implied probability distributions

---

## Application Process

### Step 1: Establish Your Fundamental View

Conduct independent fundamental analysis before reviewing consensus. Form your own view of normalized earnings, growth trajectory, and intrinsic value. Document the key assumptions driving your conclusions.

### Step 2: Map Consensus Precisely

Identify what the market believes through:
- Reverse DCF analysis (what assumptions justify current price?)
- Sell-side model consensus (median and range of estimates)
- Buy-side positioning (13F analysis, conference attendance)
- Options-implied expectations (volatility surface, put/call skew)

### Step 3: Identify the Variance

Explicitly articulate where and why your view differs:

| Your View | Consensus View | Source of Disagreement |
|-----------|----------------|------------------------|
| [Specific assumption] | [Market assumption] | [Why you believe consensus is wrong] |

The variance must be:
- Specific and measurable
- Material to valuation
- Defensible with evidence
- Potentially resolvable within investment horizon

### Step 4: Assess Catalyst Path

Determine how and when the market might recognize the mispricing:
- What evidence would change consensus?
- What is the timeline for this evidence to emerge?
- What are the risks to your thesis being recognized?

---

## Decision Framework

### Proceed with Investment When:

1. **Fundamentals**: You have high conviction in business quality and trajectory
2. **Valuation**: Price offers meaningful margin of safety to intrinsic value
3. **Sentiment**: You understand why the market disagrees and why consensus will shift

### Avoid or Reduce Position When:

- Your fundamental view aligns with consensus (no edge)
- Valuation fully reflects your optimistic scenario (insufficient reward)
- No identifiable catalyst to close the gap (dead money risk)
- Sentiment is already positioned in your direction (crowded trade)

---

## Common Pitfalls

| Pitfall | Description | Mitigation |
|---------|-------------|------------|
| Falling in love with the story | Fundamentals cloud valuation discipline | Require specific entry price |
| Consensus creep | Your view converges toward market over time | Document thesis upfront; revisit regularly |
| Catalyst myopia | Overconfidence in timing | Scenario analysis on timing slippage |
| Sentiment dismissal | Ignoring positioning data | Quantify crowding before entry |

---

## Integration with Investment Process

FaVeS assessment should produce:

1. **Investment thesis** (1-2 sentences capturing the variant view)
2. **Key assumptions** (3-5 testable hypotheses)
3. **Valuation range** (bear/base/bull scenarios)
4. **Catalyst roadmap** (events and timing)
5. **Position sizing input** (conviction and risk/reward)
6. **Monitoring triggers** (conditions that would invalidate thesis)