betting against correlation
What it checks
Asness, Frazzini, Gormsen & Pedersen (2020): the low-risk effect is driven by the correlation leg of beta; a BAC portfolio (long low market-correlation, short high-correlation, volatility-matched) earns a premium distinct from idio-vol/lott
Mechanism
Asness, Frazzini, Gormsen & Pedersen (2020): the low-risk effect is driven by the correlation leg of beta; a BAC portfolio (long low market-correlation, short high-correlation, volatility-matched) earns a premium distinct from idio-vol/lottery and supports leverage-constraint theory. Compute each ticker's rolling 252d return-correlation with SPY (orthogonal to its volatility), tilt long when in th
Signal rule
Asness, Frazzini, Gormsen & Pedersen (2020): the low-risk effect is driven by the correlation leg of beta; a BAC portfolio (long low market-correlation, short high-correlation, volatility-matched) earns a premium distinc
Data dependencies
daily_pricesAdjusted-close OHLCV for every US-listed ticker; primary price feed.
spy_pricesWorker data table, see services/worker schema.
Expected edge
- Paper window
- Modern daily equity data
friction premium; decay risk 3/5.
Example tickers where this is likely to fire
Illustrative only, the signal fires based on the live data, not a fixed list.
Related families
Explore betting against correlation on alphactor.ai
See which tickers this family is currently firing on, with live signals and rankings.