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ETF Comparisons

SQQQ vs. VYM

ProShares UltraPro Short QQQ

SQQQ
$--
vs

Vanguard High Dividend Yield ETF

VYM
$--

Correlation

-0.70

Compare with

Top 10 comparisons with SQQQ:
Compare:
SQQQ
Correlation
With:
VYM
Vanguard High Dividend Yield ETF
-0.70
SwitchQIDProShares Trust - ProShares UltraShort QQQ -2x Shares1.00PSQProShares Trust - ProShares Short QQQ -1x Shares1.00BERZBank of Montreal - MicroSectorsTM Solactive FANG & Innovation -3X Inverse Leveraged ETNs0.97TECSDirexion Shares ETF Trust - Direxion Daily Technology Bear -3X Shares0.97SPXSDirexion Shares ETF Trust - Direxion Daily S&P 500 Bear -3X Shares0.94SDSProShares Trust - ProShares UltraShort S&P500 -2x Shares0.94SPXUProShares Trust - ProShares UltraPro Short S&P 5000.94SPDNDirexion Shares ETF Trust - Direxion Daily S&P 500 Bear 1X Shares0.94SHProShares Trust - ProShares Short S&P500 -1x Shares0.94FNGDBank of Montreal - MicroSectors FANG+ Index -3X Inverse Leveraged ETNs0.94

Top 10 shared holdings

The top 10 holdings shared by SQQQ and VYM:

There are no shared holdings.
Invest with SQQQ
Learn more about VYM
SQQQProShares UltraPro Short QQQ
VYMVanguard High Dividend Yield ETF

What is SQQQ?

ProShares UltraPro Short QQQ seeks daily investment results before fees and expenses that correspond to triple (300%) the inverse (opposite) of the daily performance of the NASDAQ-100 Index .

Snapshot
**

SQQQ ProShares UltraPro Short QQQ
VYM Vanguard High Dividend Yield ETF
Inception date
Feb 09 2010
Nov 10 2006
Expense ratio
0.95%
0.06%
SQQQ has a higher expense ratio than VYM by 0.88%. This can indicate that it’s more expensive to invest in SQQQ than VYM.
Type
US Equities
US Equities
SQQQ targets investing in US Equities, while VYM targets investing in US Equities.
Fund owner
ProShares
Vanguard
SQQQ is managed by ProShares, while VYM is managed by Vanguard.
Volume (1m avg. daily)
$2,217,551,125
$134,746,385
Both SQQQ and VYM are considered high-volume assets. They’re less likely to be affected by issues like slippage and failed orders on Composer than low-volume assets.
AUM
$4,455,851,279
$48,466,955,232
SQQQ has more assets under management than VYM by $44,011,103,953. Higher AUM can be associated with better liquidity and lower slippage in trading.
Associated index
Nasdaq 100 Index
FTSE High Dividend Yield Index
SQQQ is based off of the Nasdaq 100 Index, while VYM is based off of the FTSE High Dividend Yield Index
Inverse/Leveraged
Inverse (-3x)
No
SQQQ uses Inverse (-3x), while VYM uses undefined. Inverse and leveraged ETFs can be used to either take an opposite position or amplify returns of a given index.
Passive/Active
Passive
Passive
SQQQ and VYM both use a Passive investing strategy. In an actively managed fund, the fund manager makes decisions about how funds are invested. A passively managed fund typically tries to track or follow a market index.
Dividend
No
Yes
VYM may offer dividends, while SQQQ does not. The frequency and yield of the dividend for VYM may vary.
Prospectus
View
View
Neither SQQQ nor VYM require a K1.
When ETFs are inversely correlated, they can be used in actively traded strategies (multiple trades per week) to take positions in opposing directions. For example, if you believe SQQQ is going to fall, it would make sense to invest in VYM, as based on historical data, when SQQQ decreases in value, VYM tends to increase in value.

Automated Strategies
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#SPYMIN

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Category

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Risk Rating

Aggressive

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Related toVYM

#CV

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Category

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Risk Rating

Moderate

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Disclaimers

*

We show information directly obtained from our data provider, Xignite. Data shown here is provided by Xignite, an unaffiliated third party. Composer believes the information shown here is reliable, but has not been verified and there is no guarantee that the information is accurate.

**

We show information based on calculations performed by Composer using data from our provider. Information provided here is based on calculations performed by Composer using data sourced from Xignite, an unaffiliated third party. Composer believes this information is reliable, but has not verified the data and there is no guarantee that the calculations are accurate.