Record

Record

Results, and the stories behind a few of them.

01

Wharton Global High School Investment Competition · Team Asgard Assets

A portfolio that had to do more than grow

The case asked one portfolio to do four jobs: grow $500,000 toward $1.5 million in ten years, pay out $10,000 a year from year three, support a foundation’s neighborhood work, and hold up when markets fall. Four of us built it.

One portfolio, four jobs

Each job pulled the portfolio a different way. Pick one to see which part of it was doing the work.

  • Stocks and one ETF · about 81%
  • Two Treasuries · about 17%
  • Cash · about 2%
  • Turning $500,000 into $1.5 million in ten years, with withdrawals along the way, meant a return the report put at about 12.5% a year. Stocks were the engine, led by semiconductor and software names such as AMD, KLA, Adobe, Salesforce and Oracle.

  • From year three, $10,000 leaves the account every year. About 2% in cash, plus the shorter of the two Treasuries, kept the portfolio liquid for the withdrawals.

  • The foundation works on neighborhood parks, courts and fields. The team scored companies on community impact (40%), local ties (35%) and sustainability (25%), and tilted the stock mix toward health, housing and water: Welltower, UMH Properties, Dexcom and a water ETF.

  • About 17% sat in two U.S. Treasuries, a hedge in case the stock market sold off.

Allocation from the team’s final report. A contest case from late 2025, not investment advice.

Why a REIT isn’t judged like a software company

My part was the company-level quantitative research. One thing it had to get right: different companies need different yardsticks. For real-estate investment trusts (REITs), the team compared how fast their existing properties were growing and what the market paid per dollar of funds from operations (P/FFO), rather than pushing every company through one valuation measure.

Three REITs, side by side
REITSame-property income growthPrice / FFODividend yieldDebt / equity
UMH12.0%17.29×5.76%0.73
WELL14.5%44.82×1.44%0.47
REG the bar4.8%15.99×4.16%0.81

The rule we wrote down: REG was the bar. Any REIT had to beat it on growth, or show a clear advantage on price, to earn a place in the portfolio.

UMH cleared it on growth, 12.0% against 4.8%, at a price only a little above REG’s and with the best dividend yield of the three. WELL cost far more, at 44.82 times FFO, but grew fastest and carried the least debt.

From the team’s final report, p. 8. Contest analysis, late 2025.

The trade the team chose

The team then asked what the portfolio would do over ten years. In its simulation, a purely financial optimization reached about 99% success, but only by dropping the companies that fit the foundation’s mission. The team accepted a lower success rate instead.

Across 10,000 simulated ten-year paths, about 65% reached the full $1.5 million and about 81% cleared a $1.2 million hurdle. The median path ended near $1.8 million, and 5% of paths ended below about $0.8 million.

The simulation itself was my teammates’ work.

A chart of 10,000 simulated ten-year portfolio outcomes, with the $1.5 million goal marked and about 35% of scenarios falling short of it (opens the image full size in a new tab)
The team’s stress test: where 10,000 simulated ten-year paths ended. From the final report, p. 12.

Two Treasuries, two jobs

  • Due February 2031

    5.475% coupon

    The shorter bond. It kept the portfolio liquid for the withdrawals.

  • Due February 2036

    4.5% coupon

    The longer bond. It lines up with the foundation’s 2036 flagship project and locks in long-term income.

Together their duration sits close to an intermediate-term Treasury fund, which kept price swings in check. From the final report, p. 13.

My part

  • Company-level quantitative research: the valuation, leverage and cash-flow work behind the stock picks.
  • Proposals for the major allocation, and the stock and bond selection.
  • The design of the final report and the pitch.

Teammates led the qualitative analysis and backtesting, and ran the simulation.

02

HiMCM 2025 · Team 16752 · Problem B

Would the answer change if the assumptions did?

Our model picked Seattle as the most sustainable place to host a Super Bowl. Part of my job was to test whether that answer held when the inputs moved.

The question

The problem asked for a way to choose a host city by environmental burden, not by revenue or stadium size: energy, water, emissions, waste, transport and infrastructure all count.

Our team started from a New Orleans Super Bowl as the baseline, scored eleven U.S. cities with AHP and TOPSIS (methods for combining many criteria into one ranking), and recommended Seattle for 2029.

A heat map of eleven U.S. cities scored on eight indicators, with Seattle in the top row (opens the image full size in a new tab)
Figure 13 of our paper: eleven cities across eight indicators. Seattle is the top row.

Nudge the inputs

Seattle came out first, at 0.671. The check was simple: nudge the model’s parameters slightly, and see whether anything changed places.

No city changed place. The largest move was 0.012.

Tick: the score with the nudged inputsTick: the score with the original inputs

  1. 1 Seattle 0.6710.6780.671 → 0.678 (+0.007)
  2. 2 Philadelphia 0.5900.5780.590 → 0.578 (−0.012)
  3. 3 Miami 0.5500.5580.550 → 0.558 (+0.008)
  4. 4 Denver 0.5300.5270.530 → 0.527 (−0.003)
  5. 5 Nashville 0.4800.4800.480 → 0.480 (±0.000)

Scores from Figure 18 of our paper: the five new candidate cities, before and after the nudge. This was our check on our own model, not proof that it would survive any change.

Where the model was thinnest

The paper says so itself. Some city data, such as energy mix, recycling rates and transport carbon intensity, were incomplete or inconsistent and had to be estimated. The return-on-investment figures rest on economic assumptions that would need checking against real policy and market conditions.

Those two caveats are why the check above is a check, not a guarantee.

Then the Olympics

We stretched the same framework to multi-venue events and the 2036 Olympic candidates. Among the five cities compared, London came out ahead, and multi-venue events put far more pressure on energy, transport, water and waste.

My part

  • Collecting the data.
  • Running the sensitivity analysis.
  • Writing equations, building figures, analyzing indicators and writing sections of the paper.

04

Science fair, twice

At the Science & Engineering Fair of Houston I showed two very different projects two years apart. In ninth grade, a three-student team tried to get hydrogen from waste and reported that the result was inconclusive. In eleventh grade I explained a lab platform that moves molecules with sound.

05

“Two Worlds”

A poem about leaving Xiamen, which earned a regional Silver Key in poetry at the 2024 Scholastic Art & Writing Awards.

06

And a few more

  • 2026Silver MedalCanadian Chemistry Olympiad
  • 2025Fourth place, Introduction to Business ConceptsFBLA, Texas
  • 2024Special award, Creative Automation in Practical Applications (Senior), with a teamScience & Engineering Fair of Houston, ISA

Courses beyond school

  • Alternative energy engineeringBrown University
  • Genome engineeringRice University
  • Essentials of Finance, July 2024Wharton Global Youth Program