writing-investment-theses

# 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)