Public Equities/TMT/Industrials
Hi! I'm Zhian Xu, a student investor seeking upside in areas the market has mispriced.
Business Administration & Data Science major at UC Berkeley, focused on public equities with a concentration in TMT & Industrials. I write full-length memos and create the models behind them. Hopefully there's some interesting ideas behind these posts and you enjoy reading them!
Position Tracker
2 open · 3 closed
Cumulative
+65.9%
2025-10-27 → 2026-09-22 · 51 wk
- Sharpe
- +1.34
- Max DD
- -19.8%
- Annualised
- +67.6%
- Ideas
- 5
Cumulative is an equal-weighted book rebalanced weekly across whatever was open in each week, so it stays fully invested and spans a longer window than any single position, so it will not equal the average of the rows below. Sharpe is annualised net of a 4.3% risk-free rate from weekly split- and dividend-adjusted closes. Short returns are the negation of the underlying's; position sizing, cash drag and borrow costs are not modelled.
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Selected Work
Investment Ideas
Each idea links to the full memo or deck and the model behind it. Views are my own, were accurate as of the date each was written, and are not investment advice.
Professional Work
Selected Experience
Morgan StanleySOON
Private Wealth Management Fall Analyst
Tracking late-stage AI M&A targets and screening IPO candidates for a $1B+ HNWI portfolio, contributing sector research and financing work to shape capital allocation across software verticals.
Bornite Capital
Investment Summer Analyst
Second analyst on the AI infrastructure coverage team at a $1.5B single-manager fund of eight, a spin-off of 3G Capital's public arm led by Daniel Dreyfus. Primary contributor to the SPCX initiation report, modelling sector-wide energy projections and future grid capex.
Lambda Capital
Spring Equity Analyst
Built investment theses and screened acquisition targets in AML, KYC and legal compliance software for a technology fund with $5B in transaction volume focused on capital-light acquisitions.
Berkeley Investment Group
L/S Investment Analyst, TMT & Consumer Pod
Fundamental work on mid-cap names including Chewy, Dollar General and DoorDash, pitching and defending ideas in front of industry analysts. The Willis Lease and Cal-Maine theses above came out of this seat.
Becton Dickinson
Financial Analyst
Supported upper management through the $4B divestiture of BD Biosciences, built guidance models on automated data infrastructure, and created multi-agent AI environments that processed over 500GB of data to assess the restructuring.
UC Berkeley, Haas School of Business
B.S. Business Administration, intended B.A. Data Science
GPA 3.93. Second place at the Premier Global Invitational hosted by the Warwick Hedge Fund Society and a finalist at the Texas Stock Competition hosted by UT Austin. Invited to the Goldman Sachs Possibilities Series, the EY Shaping Possibilities Summit and P72 Spring Sessions. Senior Consultant on ABA's finance team alongside.
Profile
About
I'm a Business Administration student at Berkeley Haas who spends most of his time on public equities. I work across the capital structure of a few sectors rather than chasing breadth, concentrating on TMT and industrials, and I try to take every idea down to the unit economics: lease rates and utilisation for an engine lessor, feed cost and flock data for an egg producer, take rate and seat count for vertical software. Most of what I know came from doing the work rather than reading about it. At Bornite I cover AI infrastructure and model grid capex; at Lambda I screened compliance software targets; at Berkeley Investment Group I pitch long/short ideas in the TMT and consumer pod and defend them to people who have done it for a living. The memos on this site are the output of that. I care about being specific and being wrong out loud. Two of the five ideas here did not work, and the write-ups say so. I would rather show the whole record than a curated half of it.