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Academic audit

Failedequity XS low-vol

Low Volatility Factor Effect in Stocks

The three-gate gauntlet · genuine only if it clears all three and survives adversarial refutation
Gate 1
Survivorship-free
free
clean panel
Eliminated here
Gate 2
Placebo ≥ P95
P0
outranked ~0 of 200 baskets
Gate 3
Cost-aware net
RF -0.91
net-negative after costs
Failed
Worst 12-month leg (RF)-0.99
−1.00 floor0
Every strategy here — winners included — loses in its worst 12 months. Depth is honest context, not the verdict.
Rejected at the luck gate — its net ranked no better than random baskets (below the P95 skill line).

The low-volatility effect is the long-standing observation that stocks with lower past return volatility have tended to earn returns at least as high as more volatile stocks, contradicting a simple risk-return trade-off. The tested form ranks stocks by volatility and goes long the low-volatility decile while shorting the high-volatility decile.

What we found

In our survivorship-free retest, the naive long-low / short-high-volatility decile construction failed after realistic costs. The result sits at the 0th percentile of the random-basket placebo, meaning it did not beat noise, and its risk-adjusted RF was negative. The outcome is dominated by the short-high-volatility leg, which is expensive and exposed to delisted names, so the combined long/short did not survive the transaction-cost and delisting drag. This naive decile form showed no usable rank-skill in our window.

How we tested it
2005–2026 test windowmodelled liquidity-aware costssurvivorship free
  • Tested on a 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)
Source: Blitz & van Vliet (2007), "The Volatility Effect", J. Portfolio Management
Read the paper ↗
← The Academic Audit — all 54 studies

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.