Academic audit
Momentum Effect in Stocks in Small Portfolios
The paper ranks stocks by their prior 12-month return and holds a small, concentrated portfolio of the strongest recent winners against the weakest recent losers. The idea under test is that momentum returns are larger when the winner and loser portfolios are held to a small number of names.
What we found
The rank signal is real: on a survivorship-free panel it lands at the top of the placebo distribution, so the ordering it produces is not noise. We still reject it as a standalone. Built the way the paper specifies — an extreme long-top-10 / short-bottom-10 concentration rather than the broad decile baskets used by our validated factor-legs — it is structurally tail-fragile: the worst-year RF is -0.87 (the 2016 momentum crash, a genuinely losing year), and the jackpot test is negative, meaning the multi-year result does not survive removing its top handful of contributor days. The earlier universe-contamination concern (a leveraged VIX ETN wrongly in the panel) was fixed and retracted; the clean signal still fails the genuine bar on tail grounds alone. It is not a tradeable system.
- Data: survivorship-free 1077-name US common-stock panel, 2005-2026. Realistic modelled costs.
- Placebo / robustness test: real result vs random baskets or shuffled signals (real vs the 95th percentile of random)
Read the paper ↗
Research, not investment advice. “Validated” factor-legs are market-neutral diversifying building blocks with a losing worst year — none is a standalone tradeable strategy. Metrics are cost-aware and modelled (not live fills); the 2005–2026 test window is out-of-sample versus the source paper. Dollar figures are not returns and are omitted by design.