KKR Shares Plunge 1.32% as Volume Crashes 59.76% to Rank 205th in U.S. Liquidity

On September 22, 2025, , marking its weakest performance in recent trading sessions. , , . equities by liquidity. The underperformance appears linked to shifting market sentiment toward leveraged buyout activity and broader macroeconomic uncertainties.

Analysts noted that KKR’s recent strategic pivot toward has yet to translate into consistent investor confidence. While the firm’s balance sheet remains robust, concerns over prolonged and regulatory scrutiny in private equity transactions have dampened short-term momentum. Institutional outflows observed in after-hours trading suggest a cautious stance from large-cap equity funds.

To build this back-test rigorously I need to pin down a few practical details and make sure the approach I take matches what you have in mind: 1. Universe. Should I rank every U.S.–listed common stock each day, or a narrower universe (e.g. S&P 1500, Russell 3000, specific exchange, etc.)? 2. Entry price / exit price. Do we “buy” at the day’s close and liquidate at the next day’s close (full one-day holding period), or use open-to-open, or some other convention? 3. Weighting. Equal-weight across the 500 names, or volume-weight / market-cap-weight? 4. Transaction costs / slippage. Should we include assumed costs, or ignore them? 5. Tool limitation note. The current back-test engine natively evaluates one instrument at a time. For a daily-rebalanced 500-stock portfolio, I would assemble the strategy’s composite returns off-platform, then feed them into the back-test engine as a synthetic “portfolio ticker.” That’s workable, but I want to confirm that approach is acceptable to you before I proceed. Once I have your answers I can generate the data-retrieval plan, build the daily portfolio series, and run the back-test from 2022-01-03 through today.