What Moves Like PFFV

Global X Variable Rate Preferred ETF Fund · NYSE Arca

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

Closest match

PGF Invesco Financial Preferred ETF — 0.707 correlation over the past year, and 44% choppier than PFFV.

252 sessions to 2026-09-10 · PFFV volatility 4.0% annualised · $1.1M a day
Ticker 1-year correlation 3-year Volatility vs PFFV Risk What it is
PGF Invesco Financial Preferred ETF
0.707
0.746 1.44× 44% choppier Fund
PSK State Street SPDR ICE Preferred Securities ETF
0.700
0.748 1.43× 43% choppier Fund
PGX Invesco Preferred ETF
0.700
0.725 1.44× 44% choppier Fund
FPE First Trust Preferred Securities and Income ETF ETF
0.613
0.664 1.00× similar Fund
DUK.PRA Duke Energy Corporation Preferred
0.582
0.567 1.33× 33% choppier
HYDB iShares High Yield Systematic Bond ETF
0.581
0.611 0.94× similar Fund
SJNK State Street SPDR Bloomberg Short Term High Yield Bond ETF
0.580
0.616 0.80× 20% calmer Fund
EMB iShares J.P. Morgan USD Emerging Markets Bond ETF
0.577
0.578 1.41× 41% choppier Fund
HYLB Xtrackers USD High Yield Corporate Bond ETF
0.577
0.614 0.93× similar Fund
FLHY Franklin High Yield Corporate ETF
0.574
0.552 0.93× similar Fund
SPHY State Street SPDR Portfolio High Yield Bond ETF
0.573
0.603 0.91× similar Fund
JNK State Street SPDR Bloomberg High Yield Bond ETF
0.573
0.615 0.94× similar Fund
HYGV Northern Trust High Yield Value-Scored Bond ETF
0.572
0.607 0.95× similar Fund
HYTR Counterpoint High Yield Trend ETF
0.572
0.479 0.86× 14% calmer Fund
EMHY iShares J.P. Morgan EM High Yield Bond ETF
0.571
0.578 1.38× 38% choppier Fund
ANGL VanEck Fallen Angel High Yield Bond ETF
0.570
0.593 1.08× similar Fund
USHY iShares Broad USD High Yield Corporate Bond ETF
0.570
0.615 0.91× similar Fund
XEMD BondBloxx JP Morgan USD Emerging Markets 1-10 Year Bond ETF
0.569
0.559 1.17× 17% choppier Fund
HYG iShares iBoxx $ High Yield Corporate Bond ETF
0.568
0.614 0.94× similar Fund
SHYG iShares 0-5 Year High Yield Corporate Bond ETF
0.568
0.614 0.78× 22% calmer Fund
FALN iShares Fallen Angels USD Bond ETF
0.566
0.608 1.14× 14% choppier Fund
PHYL PGIM Active High Yield Bond ETF
0.563
0.617 0.85× 15% calmer Fund
HYS PIMCO 0-5 Year High Yield Corporat Bond Index Exchange-Traded Fund
0.556
0.580 0.84× 16% calmer Fund
BBHY JPMorgan BetaBuilders USD High Yield Corporate Bond ETF
0.556
0.610 0.90× 11% calmer Fund
VRP Invesco Variable Rate Preferred ETF
0.553
0.562 0.72× 28% calmer 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.