What Moves Like TPC

Tutor Perini Corporation General Bldg Contractors - Nonresidential Bldgs · NYSE

The tradable tickers whose daily moves track TPC most closely over the past year, filtered to risk comparable with TPC's own.

Closest match

PRN Invesco Dorsey Wright Industrials Momentum ETF — 0.678 correlation over the past year, and 28% calmer than TPC.

251 sessions to 2026-09-10 · TPC volatility 48.9% annualised · $40.1M a day
Ticker 1-year correlation 3-year Volatility vs TPC Risk What it is
PRN Invesco Dorsey Wright Industrials Momentum ETF
0.678
0.546 0.73× 28% calmer Fund
ALNT Allient Inc.
0.608
0.452 1.20× 20% choppier Instruments For Meas & Testing Of Electricity & Elec Signals
FIX Comfort Systems USA, Inc.
0.575
0.435 1.16× 16% choppier Electrical Work
PTF Invesco Dorsey Wright Technology Momentum ETF
0.565
0.467 1.09× similar Fund
PWR Quanta Services, Inc.
0.564
0.446 0.90× similar Electrical Work
EME EMCOR Group, Inc.
0.562
0.456 0.92× similar Electrical Work
FWD AB Disruptors ETF
0.561
0.486 0.61× 39% calmer Fund
CTRI Centuri Holdings, Inc.
0.561
1.06× similar Natural GAS Transmisison & Distribution
QCLN First Trust NASDAQ Clean Edge Green Energy Index Fund
0.561
0.452 0.84× 16% calmer Fund
MYRG MYR Group, Inc.
0.557
0.417 1.02× similar Water, Sewer, Pipeline, Comm & Power Line Construction
SPRX Spear Alpha ETF
0.554
0.452 1.11× 11% choppier Fund
NVT nVent Electric plc Ordinary Shares
0.550
0.442 0.93× similar Special Industry Machinery (No Metalworking Machinery)
PSI Invesco Semiconductors ETF
0.547
0.455 1.06× similar Fund
NUKZ Range Nuclear Renaissance Index ETF
0.545
0.63× 37% calmer Fund
BHE Benchmark Electronics, Inc.
0.543
0.425 0.90× 10% calmer Printed Circuit Boards
SHOC Strive U.S. Semiconductor ETF
0.542
0.459 0.84× 16% calmer Fund
ARKQ ARK Autonomous Technology & Robotics ETF
0.539
0.484 0.72× 28% calmer Fund
CAT Caterpillar, Inc.
0.538
0.438 0.81× 19% calmer Construction Machinery & Equip
POWL Powell Industries, Inc.
0.537
0.371 1.30× 30% choppier Switchgear & Switchboard Apparatus
DXPE DXP Enterprises, Inc.
0.535
0.366 1.09× similar Wholesale-Industrial Machinery & Equipment
SOXQ Invesco PHLX Semiconductor ETF
0.535
0.450 0.91× similar Fund
QTUM Defiance Quantum ETF
0.533
0.456 0.67× 33% calmer Fund
DRIV Global X Autonomous & Electric Vehicles ETF
0.533
0.460 0.61× 39% calmer Fund
SOXX iShares PHLX SOX Semiconductor Sector Index Fund
0.532
0.447 0.93× similar Fund
MTZ MasTec, Inc.
0.529
0.467 1.05× similar Water, Sewer, Pipeline, Comm & Power Line Construction

Showing 25 of 30 tickers that qualified. Correlation is of daily returns; 1.000 would mean moving in lockstep, 0.000 no relationship at all.

What this is for

Three questions, one number behind all of them.

How to read the two correlation columns

The one-year figure is what the relationship looks like now. The three-year figure is what it has looked like over a longer stretch. Comparing them is the point: when they agree, the relationship is structural and likely to hold. When the one-year number is far below the three-year one, something has changed — a shift in business mix, an index reconstitution, a sector that has stopped moving together — and the recent figure is the one to trust less, not more.

Correlation measures whether two things move together, not whether they move by the same amount. That is why the volatility column is there. Two tickers can correlate at 0.99 while one swings half again as hard, and swapping one for the other would quietly change how much risk you are carrying.

What was deliberately left out

Ranking purely by correlation produces answers that are mathematically perfect and practically useless. The closest matches to AAPL by raw correlation are leveraged AAPL funds at 0.999 — correct, and not replacements for anything. Four filters run before a ticker is allowed to appear:

Where all of that leaves a ticker with no close match, the page says so. A stock with no substitute is a real and useful finding, and inventing a loose one to fill the table would be worse than an empty answer.

Limits, stated up front

Where the numbers come from

Correlations are computed in-house from a daily price history and rebuilt every night. What gets published is the derived statistic — a correlation coefficient, a volatility ratio, an observation count — and nothing from which a price or return series could be reconstructed. The rest of the Markets section is on the Markets overview, including futures positioning extremes and SEC Form 4 insider transactions.