Entergy's 1.38% Slide and 438th Dollar Volume Rank as Storm-Driven Spending Shifts Capital Priorities
On September 25, 2025, EntergyETR-- (ETR) closed at a 1.38% decline with a trading volume of $260 million, ranking 438th in dollar volume among U.S. equities. The utility sector faced broader market pressure amid mixed macroeconomic signals, though Entergy’s performance diverged from its peers due to specific operational developments.
Recent regulatory updates impacting grid modernization budgets created short-term uncertainty for Entergy. The company announced a revised capital expenditure plan, redirecting $200 million from transmission upgrades to emergency resilience projects following severe weather disruptions in its service area. Analysts noted this strategic shift could temporarily delay long-term efficiency gains but may stabilize near-term earnings volatility.
Shareholder communications emphasized management’s commitment to maintaining dividend payouts despite the capital reallocation. However, the move triggered mixed reactions from investors, with some viewing it as a prudent risk mitigation strategy while others questioned the long-term cost implications of accelerated infrastructure spending. The stock’s liquidity profile remained robust, with average daily volume exceeding $200 million over the preceding 30-day period.
To run this back-test accurately, I’ll need to pin down a few practical details: 1) Market universe: Should the ranking be across all U.S. listed common stocks (NYSE + NASDAQ), or a narrower set such as the S&P 1500, Russell 3000, etc.? 2) Weighting method: Equal-weight each of the 500 names, or weight by (for example) dollar volume, market-cap, etc.? 3) Entry price: Buy at the same day’s close and exit at next day’s close (standard “close-to-close” test), or use next day’s open for the exit? 4) Cash management: Assume fully-invested every day (no cash drag) and allow fractional shares, or impose any leverage / position-size constraints? 5) Transaction costs: Ignore commission/slippage, or apply a fixed bps cost per trade? Once these points are clarified, I can build the data retrieval plan and run the back-test from 2022-01-03 (first trading day in 2022) through the present.

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