What Moves Like PRH

Prudential Financial, Inc. 5.950% Junior Subordinated Notes due 2062 Life Insurance · NYSE

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

Closest match

PGX Invesco Preferred ETF — 0.656 correlation over the past year, and 33% calmer than PRH.

About PRH

Annualised volatility 9.9%
Beta vs SPY 0.30
Market correlation 0.406
Traded per day $1.1M
Rate sensitivity -0.30
Volatility sensitivity -0.36
251 sessions to 2026-11-09 · PRH volatility 9.9% annualised · $1.1M a day
Ticker 1-year correlation 3-year Volatility vs PRH Risk What it is
PGX Invesco Preferred ETF
0.656
0.650 0.67× 33% calmer Fund
PGF Invesco Financial Preferred ETF
0.648
0.642 0.69× 31% calmer Fund
PSK State Street SPDR ICE Preferred Securities ETF
0.637
0.663 0.69× 31% calmer Fund
SOJD Southern Company (The) Preferred
0.619
0.599 1.02× similar Electric Services
SOJE Southern Company (The) Preferred
0.608
0.594 1.00× similar Electric Services
MS.PRK Morgan Stanley Preferred
0.607
0.551 0.78× 22% calmer —
DUK.PRA Duke Energy Corporation Preferred
0.588
0.584 0.84× 16% calmer —
NEE.PRN NextEra Energy Capital Holdings Inc. Preferred
0.585
0.557 0.98× similar —
CMSD CMS Energy Corporation 5.875% Junior Subordinated Notes due 2079
0.584
0.553 0.96× similar Electric & Other Services Combined
PFFD Global X U.S. Preferred ETF
0.582
0.631 0.85× 15% calmer Fund
MET.PRF MetLife, Inc. Preferred
0.579
0.605 1.12× 12% choppier —
BAC.PRB Bank of America Corporation Preferred
0.572
0.551 0.72× 28% calmer —
ALL.PRH Allstate Corporation (The) Preferred
0.566
0.550 0.99× similar —
JPM.PRM J P Morgan Chase & Co Preferred
0.565
0.600 1.00× similar —
PFF iShares Preferred and Income Securities ETF
0.562
0.619 0.83× 17% calmer Fund
WFC.PRD Wells Fargo & Company Preferred
0.560
0.566 1.25× 25% choppier —
TFC.PRR Truist Financial Corporation Preferred
0.560
0.565 1.15× 15% choppier —
JPM.PRK J P Morgan Chase & Co Preferred
0.560
0.609 0.89× 11% calmer —
USB.PRR U.S. Bancorp Preferred
0.558
0.571 0.94× similar —
BAC.PRP Bank of America Corporation Preferred
0.556
0.588 0.96× similar —
BAC.PRO Bank of America Corporation Preferred
0.555
0.574 0.92× similar —
SCHW.PRD The Charles Schwab Corporation Preferred
0.537
0.532 0.86× 14% calmer —
TBB AT&T Inc. 5.350% Global Notes due 2066
0.533
0.511 0.86× 14% calmer Telephone Communications (No Radiotelephone)
BAC.PRK Bank of America Corporation Preferred
0.531
0.553 0.84× 17% calmer —
PFFA Virtus InfraCap U.S. Preferred Stock ETF
0.529
0.507 0.91× similar Fund

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.