ExxonMobil moved like an ordinary energy stock
Day-0 returns for ExxonMobil and 19 energy peers, sorted most-negative to most-positive. ExxonMobil (rust) sits in the middle of the pack — right next to Chevron (navy). The energy complex fell on a sector-wide oil shock; ExxonMobil tracked the sector one-for-one.
Why this matters
The class-test ranking
The example
A class of 20 students takes the same chemistry exam on a day the school cafeteria served bad food. Most kids feel queasy and score below their usual range. Sarah is in that class. If you suspect Sarah cheated, you’d expect her score to stand out — either far above the class (cheated up) or far below (got caught). If her score lands 9th out of 20 — squarely in the middle of the food-poisoning curve, right next to her best friend Emily who definitely didn’t cheat — the “cheating” theory is hard to defend. The signal in the data is the bad cafeteria food, not Sarah.
What this means for the chart
ExxonMobil is Sarah. Chevron is Emily. The class of 20 is the energy sector. The bad cafeteria food is the oil-price shock on March 10, 2026. ExxonMobil ranks 9th of 20 most-negative; Chevron 7th. Twelve peers fell harder. Spread between the worst (Occidental, −2.99%) and the best (Halliburton, +1.99%) is 4.99 percentage points — ordinary sector noise.
Connection to ExxonMobil
If Sarah scored 20th of 20 — the worst in the class — the cheating theory survives. For ExxonMobil to look like it suffered a governance shock from the redomiciliation announcement, it would need to sit in the bottom three or four of this 20-firm distribution. It sits in the middle. The market did not price a governance discount on the announcement day.
9 / 20
ExxonMobil's rank from most-negative — squarely middle of the pack
+0.13 pp
Difference between ExxonMobil and Chevron (the cleanest single comparator)
4.99%
Spread between most- and least-negative peer — the day was sector-wide noise
Sources & methodology notes
Matched-pair Day-0 abnormal returnARExxonMobil,0 = RExxonMobil,0 − Rpeer,0
SEPatell = σε · √(1 + x′0(X′X)−1x0) t = AR0 / SEPatell
This figure displays the raw Day-0 return distribution across ExxonMobil and the 19 energy peers available in the May 16, 2026 S&P Capital IQ pull. Two firms from the article's 21-firm peer set are absent from this snapshot — Coterra Energy (CTRA, post-merger NYSE delisting May 7, 2026) and Cheniere Energy (LNG, transient CIQ identifier issue). The unsigned-rank distribution is the cross-firm placebo benchmark formalized in Figure 8.
- Stephen J. Brown & Jerold B. Warner, Using Daily Stock Returns: The Case of Event Studies, 14 J. Fin. Econ. 3 (1985). Foundational daily-returns event-study paper; establishes the cross-sectional peer-comparison research design adopted here.
- A. Craig MacKinlay, Event Studies in Economics and Finance, 35 J. Econ. Literature 13 (1997). Survey of event-study methodology including the matched-pair and peer-comparison variants visualized in the chart.
- Alberto Abadie, Alexis Diamond & Jens Hainmueller, Synthetic Control Methods for Comparative Case Studies, 105 J. Am. Stat. Ass'n 493 (2010). Establishes the placebo-permutation framework over a donor universe that is operationalized here as the cross-firm peer-comparison distribution.
- Devon Energy Corp. & Coterra Energy Inc., Form 425 (Feb. 2, 2026); Devon Energy Corp., Press Release, Devon Energy and Coterra Energy Complete Merger (May 7, 2026). Documents the merger that retired CTRA from the NYSE during the post-event window; explains its absence from the displayed cross-firm distribution.
- Shane Goodwin, Read the Fine Print: What ExxonMobil's Proxy Actually Says About Texas Redomiciliation, Columbia Law School Blue Sky Blog (May 2026). Companion paper. Article fn. 26 reports ExxonMobil minus Chevron raw differential = +0.13 pp; market-model-adjusted = +0.04 pp; t = 0.05; p = 0.958.
Data attribution. Day-0 returns computed from S&P Capital IQ daily adjusted closing prices (IQ_CLOSEPRICE_ADJ feed) for 20 firms, March 9 to March 10, 2026.
Source: Author's calculations from S&P Capital IQ daily adjusted closing prices; methodology in Goodwin (May 2026) fn. 26.
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