aswath-damodaran

Apply scenario-based DCF and relative valuation with probability weighting.

Updated Apr 9, 2026
One-click install
npx skills add https://github.com/Talentedleo/celebrity_skills --skill aswath-damodaran
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: aswath-damodaran
Source: https://github.com/Talentedleo/celebrity_skills/tree/main/aswath-damodaran
Command: npx skills add https://github.com/Talentedleo/celebrity_skills --skill aswath-damodaran

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Provides a structured, narrative-based approach to valuation that helps users understand uncertainty and frame future outcomes, rather than chasing a single numeric target.

Core Features & Use Cases

  • Story-driven Valuation: Craft coherent narratives about the future to anchor valuation models (DCF, relative valuation, real options).
  • Probabilistic Thinking: Apply scenario analysis with explicit probabilities to price uncertainty and compare outcomes.
  • Educational & Practitioner Tooling: Guides students and professionals in applying Damodaran's framework to investments, corporate finance decisions, IPO pricing, and M&A assessments.
  • Use Case: Evaluate a tech company's worth by building bull/base/bear narratives and benchmarking against market multiples.

Quick Start

Build 3-5 scenarios (bull/base/bear) for a target company, assign probabilities, and compute a probability-weighted valuation.

Frequently Asked Questions about aswath-damodaran

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I value a company using story-driven narratives instead of just DCF numbers?

Story-driven valuation anchors your DCF models in coherent business narratives, framing future outcomes rather than chasing a single numeric target. You craft bull, base, and bear scenarios to build a structured valuation.

Can I use scenario analysis with probability weighting for IPO pricing and M&A assessments?

Yes, scenario analysis with probability weighting supports IPO pricing and M&A assessments. It evaluates a target company by building bull, base, and bear narratives, assigning probabilities, and computing a weighted valuation.

Does this valuation approach work for high-uncertainty tech company investments?

Yes, this approach explicitly supports high-uncertainty tech bets by applying probabilistic thinking and transparent narrative framing. You evaluate a tech company's worth by benchmarking scenarios against market multiples.

What is the best way to price uncertainty in equity valuation?

The best way to price uncertainty is building 3-5 scenarios for a target company, assigning explicit probabilities to each, and computing a probability-weighted valuation. This avoids relying on a single numeric target.

When should I not use a single target price for investment analysis?

You should avoid a single target price when navigating high uncertainty in equity valuation. Instead, apply contingent valuation and probability weighting to frame future outcomes and compare multiple narrative scenarios.