Verisk Tumbles 1.52% as $240M Volume Slumps to 408th in U.S. Liquidity Rankings

, ranking 408th among U.S. equities by liquidity. The stock's performance coincided with mixed market sentiment across financial indices, though sector-specific catalysts remained under scrutiny for potential near-term directional bias.

Analysts noted the stock's sensitivity to macroeconomic indicators, particularly in its core and risk modeling segments. Recent earnings calls highlighted ongoing initiatives, though market participants remain cautious about margin pressures from regulatory shifts in emerging markets. The decline came despite strong cash flow generation reported in Q2 2025 filings.

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To ensure the back-test is set up exactly the way you want, could you please confirm a few implementation details?

1. Market universe • Do you want to use all U.S. listed equities (NYSE + NASDAQ + AMEX), or a different universe (e.g., only S&P 1500 constituents, only NASDAQ-listed names, etc.)?

2. Re-balancing convention • After identifying the top-500 stocks by today’s trading volume, should the portfolio be bought at today’s close and liquidated at tomorrow’s close (typical “T-to-T+1 close-to-close” test)? • Or would you prefer buying at tomorrow’s open and selling at tomorrow’s close (“next-open to next-close”) to avoid look-ahead bias?

3. Transaction-cost assumptions • Apply zero costs, or would you like to include an estimate (e.g., 3 bps per trade)?

4. Benchmark (optional) • Do you want to compare performance against a benchmark such as SPY?

Once I have these details I’ll generate the data-retrieval plan and run the back-test for the period 2022-01-01 to the present.