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.
The older proxy implementation stays blocked; its replacement tests beta-window stability using observed paired returns.
Explore Betting Against Beta on alphactor.ai
See which tickers this family is currently firing on, with live signals and rankings.