Funds Embrace Reverse Dispersion Trade as 1-Month Stock Dispersion Hits Highest Since 2020
Updated
Updated · Bloomberg · Jul 19
Funds Embrace Reverse Dispersion Trade as 1-Month Stock Dispersion Hits Highest Since 2020
1 articles · Updated · Bloomberg · Jul 19
Summary
One-month expected dispersion among large-cap U.S. stocks has climbed to its highest level since 2020, drawing funds into reverse dispersion trades that bet on calmer index moves against violent single-stock swings.
Cboe data show the setup behind that shift: implied correlation among the S&P 500’s top 50 stocks is near record lows, meaning constituents are moving less in tandem even as individual volatility stays elevated.
The move marks a turn from a previously popular hedge fund strategy that profited from volatile indexes and relatively contained stock-level moves.
For investors, the trade reflects a market where stock-specific risks are dominating broader benchmark behavior, creating opportunities to position for divergence inside the S&P 500.