Data are current as of the close on March 23, 2026; the author publishes 6‑month and 12‑month momentum portfolios and plans updates every 2–4 weeks. Portfolios are built from quantitative screens using metrics such as indicated dividend yield, 260‑day annualized volatility, P/E, P/CF, P/B, EV/EBIT, CF, FCF and market cap. The publication is presented as a starting point for research, with disclosures that the author may hold some positions and warnings about thinly traded names and companies undergoing corporate actions.
Momentum portfolios are a flow-driven regime: when short-term institutional and retail flows align, dispersion and autocorrelation amplify returns for recent winners. That dynamic also raises liquidity risk — crowded winners tend to have higher loan balances and compressed borrow availability, so a triggering reversal can cascade through prime broker funding lines and intraday crosses. Tail risks are classic and fast: momentum crashes are typically associated with broad mean-reverting rallies in laggards or sudden macro shocks that reset factor leadership. Expect worst-case drawdowns in the factor of order double-digit percent that can materialize within days and take months to recover; absence of explicit tail protection (vol, puts, or volatility targeting) materially increases realized losses. Practical implementation should therefore be explicit about friction and sizing — prefer exchange-traded, liquid exposure to avoid single-stock liquidity traps, and overlay volatility-targeting to limit drawdowns. A conditional contrarian note: if breadth and macro beta rotate toward pro-cyclical growth (cheaper financing, falling rates), momentum regimes can persist and compress carry costs; conversely, if rates shock higher or credit lines tighten, the factor can flip rapidly, so hedges must be cheap, short-dated, and sized to tail events.
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Overall Sentiment
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