#portfolio management

How direct indexing works, 2026 fees and minimums, worked tax-loss harvesting and fee math, wash-sale traps, and when a plain index ETF is the better choice.

Growth equity with 2026 data: how it differs from venture and buyouts, preferred stock terms and payout math, benchmark returns, and how individuals invest.

Risk parity explained with worked math: why 60/40 is about 90% stocks by risk, the leverage needed, and how RPAR fell 22.8% in 2022.

How preferred stock behaves in practice: rate and call math, where holders rank when a bank fails, which dividends get lower tax rates, and fund costs.

Real returns by asset in the 1970s and 2022, why stocks and bonds fell together, what worked, and what protection cost in the years that followed.

What factor investing is, what 100 years of Fama-French data show for each factor, the long droughts, how to size a factor tilt, and what it costs.

A practical guide to alternatives: who can invest, fee math, capital calls, why smoothed returns mislead, and what the 2026 private credit gates showed.

How AI and machine learning are used in portfolio construction, why backtests mislead (with the math), the record of AI-run funds, and SEC action on AI-washing.

How private credit makes and loses money: real loan terms, why default rates disagree, what BDC fees and borrowing cost, and 2026 redemption limits.