Quantitative Finance · Research · 2025

U.S. Portfolio Management & Analysis

Constructing a risk-adjusted, multi-asset U.S. portfolio using the Fama-French three-factor model, benchmarked against the S&P 500.

0.53
Sharpe Ratio
80/17/3
Equity / Bond / Derivative Split
50
NASDAQ Equities
S&P 500
Benchmark

During this project, I created a portfolio based on the U.S. market that was tailored for clients seeking an optimal risk-adjusted return on equities, balanced with lower risk in fixed-income and derivatives markets. This portfolio was constructed using the Fama-French three-factor model and utilised risk-adjusted measures such as the asset's Sharpe ratio, Treynor measure, and its alpha. Data was gathered from CRSP, sourced via the WRDS platform.

The three-factor regression decomposed each equity's excess return against market (Mkt-RF), size (SMB), and value (HML) factor loadings, isolating the portion of return attributable to systematic risk exposure versus manager-specific alpha. Beta coefficients from the regression were then used to size position weights, tilting the equity sleeve toward names with favourable risk-adjusted alpha after controlling for size and value tilts, rather than raw historical returns alone.

On the fixed-income side, bonds were selected and weighted using duration and convexity matching to manage interest-rate sensitivity, with yield-curve positioning informing which maturities offered the best carry relative to reinvestment risk. This kept the fixed-income sleeve's contribution to portfolio volatility low while still contributing positive expected return.

Portfolio Composition

For hedging, I used a fully hedged strategy of put options for the two top-weighted equities, ROP & S&P 500, against potential price downturn. Option premiums were evaluated using Black-Scholes pricing to confirm the hedge cost was justified relative to the reduction in portfolio downside (delta), keeping the hedge cost-efficient rather than a blanket insurance overlay.

Portfolio-level risk was cross-checked using the correlation matrix across the equity, bond, and derivative sleeves to confirm genuine diversification benefit rather than concentrated, correlated exposure, a key check before finalising position sizing.

Reference Workflow

Example stock and bond valuation workings used to derive the portfolio's risk-adjusted metrics:

Tools
ExcelWRDSCRSPFRED
Methodology
Fama-French 3-Factor ModelSharpe RatioTreynor MeasureOptions Hedging