I build systematic investment strategies and explain them to people who don't write code. Economics & International Relations at Syracuse (quantitative economics, AI minor), class of 2027. Passed CFA Level I. Everything below has public code and ends with a section on what the evidence cannot show. Site: hugohoenn.com
| Project | What it is | Headline | Links |
|---|---|---|---|
| Multi-factor equity strategy | Value, momentum, quality tilt on the S&P 500, sector- and beta-neutral, built from point-in-time SEC filings and then re-run on 35 years of survivorship-free CRSP/Compustat data | 0.38 IR, t = 2.3 over 1990–2024; the premium came from the 1990s and 2000s and has been flat since 2010 | repo · factsheet & dashboard · v3 note |
| Goldman Sachs QIS product review | Client-style notes on the QIS team's public funds: the Absolute Return Tracker reverse-engineered, ActiveBeta U.S. Large Cap rebuilt from its rulebook | 10 ETFs explain 89% of GARTX; OOS clone at 2.0% TE / 0.94 corr. Rulebook recovers 0.40 correlation of GSLC's active returns, stable out of sample | repo · notes |
| Cross-asset trend & carry program | 21 equity, bond, FX and commodity markets; vol targeting, risk parity, costs; benchmarked against GS Managed Futures Strategy; ML overlay tested under purged walk-forward validation | 0.41 Sharpe, −21% max DD, −0.15 corr to S&P 500, positive in 2008/2020/2022. The ML overlay lost to the rule (IC 0.03 vs 0.06) and is reported as such | repo · note |
| Fund X-ray | Interactive returns-based analysis of 45 funds: ETF exposures, Kalman-filtered drift, Fama-French tilts, OOS clone tracking error, fee-vs-clone gap, plain-English readouts | Every public GS QIS product included | open it · code |
Stack: Python (pandas, NumPy, statsmodels, scikit-learn, Plotly), SEC EDGAR XBRL, CRSP/Compustat via WRDS, Fama-French data library. Contact: hhoenn@syr.edu · LinkedIn
Independent research for discussion. Not investment advice. Not affiliated with Goldman Sachs or any fund sponsor.