Writing Investment Theses

---
name: writing-investment-theses
language: en
description: Formulates structured bull/bear investment theses with variant perception and key risk identification. Use when developing investment theses, articulating variant views, or structuring bull/bear arguments.
tags:
  - drafting
  - equity-research
  - risk
  - investment
metadata:
  author: casemark
  practice_areas:
    - Equity Research
    - Investment Management
  document_types:
    - Written Document
  skill_modes:
    - Drafting
---
# Writing Investment Theses

## When To Use

- Developing a long or short investment thesis for an individual security, sector, or thematic basket
- Articulating a variant perception — where and why your view diverges from consensus
- Structuring bull/bear/base case scenarios for portfolio decision-making or IC presentation
- Preparing investment committee memos, pitch books, or idea generation write-ups
- Stress-testing an existing position by formalizing the counter-thesis

## Inputs To Gather

- **Company/asset identifiers**: ticker, market cap, sector, relevant index membership
- **Financial data**: trailing and forward revenue, EBITDA, EPS, FCF; margins and growth rates; balance sheet leverage (net debt/EBITDA); capital return profile (buyback yield, dividend yield)
- **Valuation context**: current multiples (P/E, EV/EBITDA, P/FCF) vs. historical range, sector comps, and DCF assumptions if available
- **Consensus estimates**: sell-side consensus revenue/EPS for next 1–3 fiscal years, estimate revision trend (up/down/flat over 30/90 days)
- **Variant perception source**: proprietary data, channel checks, supply-chain intelligence, regulatory insight, or structural view that differs from consensus
- **Catalysts and timeline**: upcoming events (earnings, FDA decisions, regulatory rulings, M&A milestones, macro data) that could reprice the asset
- **Risk factors**: position sizing context, liquidity profile, short interest, options skew, key-person or governance risks

## Workflow

1. **Frame the opportunity**
   - State the asset, current price, and your directional view (long/short/pair)
   - Summarize the consensus narrative in 2–3 sentences — what the market currently believes and prices in
   - Articulate the variant perception: the specific insight or analytical edge that consensus is missing or mispricing

2. **Build the fundamental case**
   - Walk through the earnings or cash-flow model that supports the thesis — revenue drivers, margin trajectory, capital intensity
   - Highlight the 1–2 key variables that matter most to the outcome (e.g., same-store sales inflection, regulatory approval probability, cost-curve positioning)
   - Quantify the upside/downside asymmetry: what the asset is worth under your thesis vs. current price

3. **Construct scenario analysis**
   - **Bull case**: favorable resolution of key variables, upside to estimates, multiple expansion — assign a probability and target price
   - **Base case**: partial thesis realization, modest estimate revisions — probability and target
   - **Bear case**: thesis failure, downside risks materialize — probability and target
   - Calculate the expected value across scenarios to demonstrate risk/reward skew

4. **Identify catalysts and timeline**
   - List specific, dated catalysts that could drive re-rating (earnings prints, data releases, corporate actions)
   - Distinguish between hard catalysts (known dates) and soft catalysts (evolving narratives, positioning shifts)
   - State the expected holding period and any time-decay risk if catalysts fail to materialize

5. **Map key risks and mitigants**
   - Enumerate the top 3–5 risks to the thesis — fundamental, technical, macro, regulatory
   - For each risk, describe the mitigant or the observable signal that would trigger thesis reassessment
   - Define the "kill criteria" — the specific data points or price levels that would invalidate the thesis and prompt exit

6. **Draft the thesis document**
   - Lead with a one-paragraph executive summary: asset, direction, variant view, target price, and expected holding period
   - Follow the structure above in clearly headed sections
   - Use tables for scenario analysis and comp valuations; use charts/exhibits references where appropriate
   - Keep language precise and assertion-backed — every claim ties to a data point or clearly flagged assumption

## Output

The final investment thesis document should include:

- **Executive summary** (1 paragraph): ticker, direction, variant perception, price target range, risk/reward ratio, holding period
- **Consensus vs. variant view** section with explicit statement of market mispricing
- **Fundamental analysis** with key driver walk-through and model sensitivity
- **Scenario table**: bull/base/bear with probabilities, target prices, and expected value
- **Catalyst calendar** with dates and significance ratings
- **Risk matrix** with severity, likelihood, mitigant, and kill criteria for each risk
- **Position sizing guidance** (if requested): suggested allocation, stop-loss level, hedging approach

Format as a professional investment memo suitable for IC review. Flag all forward-looking estimates with source attribution (consensus, proprietary model, management guidance).

## Quality Checks

- Every factual claim cites a source (filing, data vendor, channel check) or is marked [VERIFY]
- Variant perception is clearly distinguished from consensus — not merely restating the bull case
- Scenario probabilities sum to 100%; target prices are internally consistent with stated assumptions
- Kill criteria are specific and observable, not vague ("if fundamentals deteriorate")
- Valuation multiples and financial data are cross-checked against at least one independent source [VERIFY]
- No forward-looking statement is presented as fact — use "we estimate," "our model implies," or "management guided"
- Regulatory and compliance disclaimers are included where the output will be distributed externally [VERIFY]
- Holding period and catalyst timeline are realistic given the thesis type (event-driven vs. secular)