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Finance
Skill

/equities

Analyze equity securities, factor models, and equity portfolio construction. Use when the user asks about stocks, equity valuation ratios, index construction methods, or style analysis. Also trigger when users mention 'P/E ratio', 'growth vs value', 'market cap weighting',

From plugin
finance-skills
16491 skills
Install
$ npx -y skills add JoelLewis/finance_skills --skill equities --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/equities

Context preview

The summary Claude sees to decide when to auto-load this skill.

Analyze equity securities, factor models, and equity portfolio construction. Use when the user asks about stocks, equity valuation ratios, index construction methods, or style analysis. Also trigger when users mention 'P/E ratio', 'growth vs value', 'market cap weighting',

SKILL.md

equities.SKILL.md
name: equities
description: "Analyze equity securities, factor models, and equity portfolio construction. Use when the user asks about stocks, equity valuation ratios, index construction methods, or style analysis. Also trigger when users mention 'P/E ratio', 'growth vs value', 'market cap weighting', 'sector allocation', 'GICS classification', 'earnings per share', 'Fama-French factors', 'CAPM', 'dividend yield', 'PEG ratio', 'EV/EBITDA', or ask which factors explain equity returns."

Equities

This skill is a decision procedure: which valuation metric to use for which company, which index methodology fits which mandate, and the order of operations for analyzing a stock. It assumes the user can look up definitions; the value here is choosing the right tool.

Core Concepts

Choosing the Valuation Metric

Match the metric to the sector and capital structure — using the wrong one is the most common equity-analysis error.

| Situation | Use | Avoid | Why | |-----------|-----|-------|-----| | Financials (banks, insurers) | P/B, P/TBV, ROE vs P/B | EV/EBITDA | Debt is raw material, not financing — EV and EBITDA are meaningless; book value is marked closer to fair value | | Capital-intensive (industrials, telecom, energy) | EV/EBITDA, EV/EBIT | P/E alone | Neutralizes depreciation policy and leverage differences across peers | | Mature dividend payers (utilities, staples) | Dividend yield + payout sustainability, P/E | PEG | Growth is low and stable; income and coverage matter most | | High-growth, low/no earnings | EV/Sales, PEG (if earnings exist), unit economics | P/E, P/B | Earnings are depressed by reinvestment; book value is mostly intangibles | | Cyclicals (autos, semis, materials) | Mid-cycle or normalized P/E, P/B at trough | Spot P/E | P/E is lowest at the cycle peak and highest at the trough — spot P/E inverts the buy/sell signal | | Negative earnings, positive cash flow | EV/EBITDA, P/FCF | P/E, earnings yield | Ratio is undefined or misleading with negative denominator | | REITs and listed real estate | P/FFO, P/AFFO, NAV | P/E | GAAP depreciation distorts earnings for property — handled in detail by the real-assets skill | | Cross-border / different leverage | EV-based multiples | Equity multiples | Enterprise value normalizes for capital structure |

Cross-checks that apply everywhere:

  • Use forward (next-12-month) estimates for the numerator decision when the business is changing; trailing figures when estimate quality is poor.
  • Compare against the company's own history and a true peer set, not the whole market.
  • Translate any multiple into its implied assumptions (growth, margin, required return) before declaring cheap/expensive — a low multiple usually encodes a real problem.

Choosing the Index Methodology

| Mandate | Methodology | Trade-off to flag | |---------|-------------|-------------------| | Cheap, tax-efficient market exposure | Cap-weighted (S&P 500, total market) | Momentum-chasing by construction; concentration in mega-caps — a single sector can exceed 30% | | Reduce concentration / small-cap tilt | Equal-weighted | Higher turnover and rebalancing cost; structural size and contrarian tilt | | Break the price-weight link | Fundamental-weighted (revenue, earnings, book) | Effectively a value tilt with extra steps; compare cost vs an explicit value fund | | Explicit factor exposure | Factor/style index (value, momentum, quality, low vol) | Verify the factor definition and rebalance rules; factor timing rarely works | | Avoid | Price-weighted (DJIA-style) | Weight proportional to share price is economically arbitrary — legacy only |

Selection rules: default to cap-weighted for core beta; add equal- or fundamental-weighted only when the user explicitly wants the embedded tilt and accepts the turnover; treat any "smart beta" product as a factor portfolio and evaluate its factor loadings, not its marketing name.

Security Analysis Sequence

1. **Classify the business** — sector (GICS or equivalent), cyclical vs defensive, capital intensity, leverage. This determines the valuation toolkit (table above). 2. **Quality screen** — revenue trend, margin trend, ROIC vs cost of capital, balance-sheet risk (net debt/EBITDA, interest coverage), share count trajectory (dilution vs buybacks). 3. **Earnings basis** — pick trailing vs forward EPS, check for one-offs, use diluted share count. For cyclicals, normalize to mid-cycle. 4. **Value with the matched metric** — primary multiple from the table, one cross-check multiple, and where dividends are central a dividend-based check (Gordon growth: P = D1 / (r - g), valid only when g < r). 5. **Factor and style context** — regress (or eyeball) exposures to market beta, size, value, momentum, quality. Distinguish stock-specific thesis from a factor bet you could buy more cheaply via an index. 6. **Portfolio fit** — marginal effect on sector concentration and factor tilts; total return (price + dividends) is the comparison basis, never price return alone.

Key Formulas

| Formula | Expression | Use Case | |---------|-----------|----------| | EV/EBITDA | (Market Cap + Debt - Cash) / EBITDA | Capital-structure-neutral valuation | | Earnings Yield | EPS / Price | Compare equity vs bond yields | | PEG | (P/E) / Earnings Growth Rate (in %) | Growth-adjusted valuation | | Gordon Growth | P = D1 / (r - g) | Dividend-based intrinsic value | | CAPM | E(R) = R_f + beta × (E(R_m) - R_f) | Required return input for valuation | | Total Return | Price Return + Dividend Return | Performance comparison basis |

Worked Examples

Metric Selection and Valuation

**Given:** An industrial company with market cap $500M, total debt $100M, cash $50M, EBITDA $75M, EPS $7.50, price $150. **Decide and calculate:** 1. Capital-intensive industrial → primary metric is EV/EBITDA (table above), with P/E as cross-check. 2. EV = $500M + $100M - $50M = $550M. EV/EBITDA = $550M / $75M = **7.33x**. 3. Cross-check: P/E = $150 / $7.50 = 20

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Ships withfinance-skills

A collection of Claude Code skill plugins for financial services. 91 skills across 7 domain plugins teach Claude investment management, regulatory compliance, advisory workflows, trading operations, and more — so it can assist with finance questions, build

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Python
Language
MIT
License
1mo ago
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6mo ago
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Repo: JoelLewis/finance_skills

Other skills on finance-skills.