About
Focused on consumer discretionary with a disciplined long/short lens.
Investment Approach
Long-term with tactical overlay.
Long-term positions
Core holdings in consumer discretionary leaders with brand durability, pricing power, and resilient margins.
Tactical L/S earnings trades
We express variant expectations around earnings, guidance, and set-ups using focused long/short positioning.
Mission & Origins
Escanceaster Capital Investments was founded with a dual mandate: to make research-driven investments and to provide Phillips Exeter Academy students and recent alumni exposure to real-world capital management. Embodying the principle of Non Sibi, we seek to provide pathways for young Exonians to engage with fundamental research, portfolio management, and other responsibilities that come with managing real money.
Research Infrastructure
AI Research Engine
We've built an internal AI research engine that connects our proprietary datasets, historical research, and prior theses into a living knowledge base. It helps us study market expectations into earnings, track sentiment and narrative shifts, and analyze how those expectations map to stock reactions.
What it does
- Unifies internal knowledge over time: Links our internal data, past writeups, and research memory so new work builds on what we have already learned.
- Models expectations into catalysts: Structures earnings around what is priced in: guidance ranges, narrative consensus, positioning signals, and the gap between perception and fundamentals.
- Turns noise into trackable signals: Summarizes and tags key themes across news, transcripts, and public discourse, then tracks how those themes evolve heading into events.
Longer-term social-arbitrage research
Beyond earnings, we use AI to continuously scan relevant news and broader social channels for early signal: emerging narratives, consumer sentiment inflections, product momentum, competitive changes, and second-order effects that can show up before they are obvious in reported fundamentals.