Factor / Low-Risk#461tier 3experimental liveNew

betting against correlation

cadence: Dailydata: lowlong onlyshort onlylong short
paper
2020
Source
Asness, C., Frazzini, A., Gormsen, N. J., Pedersen, L. H. (2020). Betting Against Correlation. Journal of Financial Economics 135(3), 629-652.
Read the paper β†’

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

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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_prices

    Adjusted-close OHLCV for every US-listed ticker; primary price feed.

  • spy_prices

    Worker 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

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See which tickers this family is currently firing on, with live signals and rankings.

For informational and educational purposes only. Not financial advice. Learn more