From thinking-frameworks-skills
Reconciles DCF and multiples valuations into final estimate with investment recommendation, implied growth/ROIC, margin of safety, and catalysts. Useful for synthesizing divergent valuations.
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- [Example](#example)
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Scenario: NovaBrands Inc. -- US consumer goods company, current price $65/share
Valuation inputs:
Reconciliation table:
| Method | Value/Share | Key Assumptions | Confidence Weight |
|---|---|---|---|
| DCF (FCFF) | $85 | 8% revenue growth, 14% operating margin, 9% WACC | 50% |
| PE Regression | $78 | Sector regression R-squared 0.62, predicted PE 22x | 25% |
| EV/EBITDA Peers | $90 | Median peer 11x, adjusted for higher growth | 25% |
Weighted estimate: $85 x 0.50 + $78 x 0.25 + $90 x 0.25 = $84.50/share
Implied analysis (what the market prices at $65):
Margin of safety: ($84.50 - $65) / $84.50 = 23%
Catalysts:
Recommendation: Buy at $65, target range $80-$85, 12-month horizon. The 23% margin of safety provides a cushion even if growth reaches only 6% instead of 8%.
Risk factors: Private-label competition eroding brand premium; input cost inflation compressing margins; restructuring execution delays.
Copy this checklist and track your progress:
Valuation Reconciliation Progress:
- [ ] Step 1: Collect all valuation estimates
- [ ] Step 2: Identify sources of divergence
- [ ] Step 3: Reverse-engineer market implied assumptions
- [ ] Step 4: Assess catalysts for gap closure
- [ ] Step 5: Compute margin of safety and formulate recommendation
- [ ] Step 6: Write investment thesis
Step 1: Collect all valuation estimates
Gather intrinsic value (DCF), relative valuation estimates (PE, EV/EBITDA, PBV, EV/Sales), and any special-situation adjustments into a single reconciliation table. For each estimate, record the method, per-share value, key assumptions, and a confidence weight reflecting how appropriate that method is for this company type. See resources/template.md for the reconciliation table format.
Step 2: Identify sources of divergence
Compare the highest and lowest valuations. Trace differences to specific assumptions: growth rate, discount rate, margin, multiple selection, peer universe. If DCF and relative values diverge by more than 20%, document the driver of the gap. See resources/methodology.md for the divergence analysis framework.
Step 3: Reverse-engineer market implied assumptions
Back-solve for the growth rate and ROIC that would make the DCF value equal to the current market price. Compare these implied assumptions against your narrative, historical performance, and industry benchmarks. This reveals what the market is pricing in and where your view differs. See resources/methodology.md for the iterative calculation method.
Step 4: Assess catalysts for gap closure
If a value gap exists (intrinsic value differs from market price), identify specific, time-bound events that could cause the gap to close. Catalysts may include earnings reports, product launches, restructuring milestones, regulatory changes, or management actions. Assign estimated timing, value impact, and probability to each catalyst. See resources/template.md for the catalyst template.
Step 5: Compute margin of safety and formulate recommendation
Calculate margin of safety as (intrinsic value - market price) / intrinsic value. Calibrate the required margin based on company characteristics: higher for volatile, unpredictable, or small-cap firms; lower for stable, predictable businesses. Formulate a buy/sell/hold recommendation with a specific price target and time horizon. See resources/template.md for the recommendation format.
Step 6: Write investment thesis
Synthesize the reconciliation into a one-page investment thesis linking business narrative to valuation to recommendation. Include the key risk factors that could invalidate the thesis. See resources/template.md for the thesis format. Validate using resources/evaluators/rubric_valuation_reconciler.json. Minimum standard: Average score >= 3.5.
Pattern 1: Value Gap (DCF > Price)
Pattern 2: Overvaluation Signal (DCF < Price)
Pattern 3: Fair Value / Convergence
Expect divergence between methods. Different valuation methods should produce different numbers. If DCF, PE regression, and peer median all yield the same value, the analysis likely contains confirmation bias. Investigate whether assumptions were inadvertently aligned.
Weight the method most appropriate for the company type. DCF carries more weight for unique businesses with few comparables. Relative valuation carries more weight for commodity businesses in a well-defined peer group. Neither approach alone is sufficient.
Calibrate margin of safety to uncertainty. A 15% margin of safety may suffice for a stable, predictable utility; a 30-40% margin is appropriate for a volatile, high-growth, or distressed company. The required margin should increase with cash flow volatility, forecast horizon, and complexity.
Validate implied assumptions against plausible ranges. Reverse-engineered growth rates and ROIC should be compared to the company's own history, industry averages, and base rates. If the market implies 25% growth for a decade, check how many companies in the same industry have actually achieved that.
Require specific, time-bound catalysts. "The market will eventually recognize value" is not a catalyst. A catalyst has a what, a when, and an estimated impact: "Q3 earnings release showing restructuring savings of $40M, expected October, could close 30% of the value gap."
State a time horizon for the recommendation. A buy recommendation without a time horizon is incomplete. Specify whether the thesis depends on a 6-month, 12-month, or multi-year holding period, and what changes would trigger a reassessment.
Document risk factors explicitly. Every thesis must include at least two specific risk factors that could invalidate the recommendation. For buy recommendations, state what would cause you to sell. For sell recommendations, state what would cause you to reverse.
Key formulas:
Margin of Safety = (Intrinsic Value - Market Price) / Intrinsic Value
Value-to-Price Ratio = Intrinsic Value / Market Price
Implied Growth Rate = g such that DCF(g) = Market Price
(iterate g in DCF model until output equals current price)
Implied ROIC = ROC such that DCF(ROC) = Market Price
(iterate ROC in DCF model until output equals current price)
EVA Value Decomposition:
Firm Value = Invested Capital + PV of Future EVA
where EVA = (ROIC - WACC) x Invested Capital
Growth premium = Firm Value - Invested Capital
Breakeven Sensitivity:
What change in [growth / WACC / margin] flips buy to hold?
Recommendation decision framework:
| Value-to-Price | Margin of Safety | Catalysts | Recommendation |
|---|---|---|---|
| > 1.30 | > 25% | Identified, time-bound | Buy |
| 1.15 - 1.30 | 15-25% | Identified, time-bound | Buy (moderate conviction) |
| 0.85 - 1.15 | < 15% | N/A | Hold / Fair value |
| 0.70 - 0.85 | Negative | Risk factors present | Sell / Avoid |
| < 0.70 | Deeply negative | Risk factors present | Sell (high conviction) |
Key resources:
Inputs required:
Outputs produced:
valuation-reconciliation.md: Reconciliation table, implied assumptions, divergence analysis, margin of safety, sensitivity matrix, catalyst assessment, buy/sell/hold recommendation with price target and time horizon, investment thesis, risk factorsCross-references to other skills:
intrinsic-valuation-dcf provides the DCF per-share value and sensitivity gridrelative-valuation-multiples provides peer comparison and regression-implied valuesspecial-situations-valuation provides adjusted values for high-growth, distressed, private, or financial services firmsbusiness-narrative-builder provides the qualitative story that anchors the thesis