Betting Against Beta
In plain terms
Low-beta stocks (calmer than the market) tend to deliver better risk-adjusted returns than high-beta ones; this family overweights when beta drops.
How it works
Betting Against Beta (Frazzini-Pedersen 2014): for a single stock, scale exposure inversely to its rolling beta vs SPY. Lower-beta moments get a bigger position, high-beta moments get reduced — the stock-level analog of the BAB factor. Long-only with a positive-trend gate (only when close > close 252d ago) to avoid leveraging into downtrends.
Live results
42 times picked on its own · 87 times inside a blend (58 beat the stock) · updated 2026-07-06Data dependencies
- Daily bars
Daily OHLCV bars used by all price-based generators.
- Factor returns
A data feed this strategy reads, refreshed on its normal schedule.
Expected edge
- Reported Sharpe
- 0.7 (Frazzini-Pedersen 2014); 0.4 OOS
- Tested over
- 1926-2012
~0.7 Sharpe in Frazzini-Pedersen 2014; ~0.4 in recent OOS
Example tickers where this is likely to fire
Illustrative only, the signal fires based on the live data, not a fixed list.
Related families
Stocks whose gross profitability is improving versus their own past year AND that are trending up over 12 months get a long position; otherwise hold cash. A simplified single-stock take on the Quality Minus Junk idea; the full 4-factor composite is the quality_minus_junk family.
High-beta stocks usually underperform — but only when there's high disagreement (analyst dispersion). Without disagreement, high beta is fine.
Explore Betting Against Beta on alphactor.ai
See which tickers this family is currently firing on, with live signals and rankings.