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Vanguard U.S. Minimum Volatility ETF

VFMV
$--
Today’s Change
-- (--)

Snapshot
*

Inception Date
Feb 13 2018
Expense Ratio
0.13%
Type
US Equities
Fund Owner
Vanguard
Volume (1m avg. daily)
$268,521
AUM
$91,731,150
Associated Index
None
Inverse/Leveraged
No
Passive/Active
Active
Fractionable on Composer
Yes
Prospectus

Top 10 Holdings

HURN
Huron Consulting Group Inc
1.70%
IBM
International Business Machines Corp.
1.64%
MCK
Mckesson Corporation
1.61%
ROP
Roper Technologies Inc
1.61%
TJX
TJX Companies, Inc.
1.56%
NOC
Northrop Grumman Corp.
1.55%
TMUS
T-Mobile US Inc
1.51%
CVLT
Commvault Systems Inc
1.51%
JNJ
Johnson & Johnson
1.50%
ORLY
O`Reilly Automotive, Inc.
1.49%
Invest with VFMV

What is VFMV?

Vanguard U.S. Minimum Volatility ETF seeks to provide long-term capital appreciation. The fund invests primarily in U.S. common stocks that when they are combined in a portfolio minimize volatility relative to the broad market, as determined by the advisor. The portfolio will include a diverse mix of companies representing many different market sectors and industry groups. The advisor uses a quantitative model to evaluate all of the securities in an investment universe comprised of U.S. large, mid, and small capitalization stocks and to construct a U.S. equity portfolio that seeks to achieve exposure to securities with relatively strong recent performance subject to a set of reasonable constraints designed to foster portfolio diversification and liquidity. Securities with relatively strong recent past performance may be identified by measures such as performance over different time periods.

ETFs related toVFMV

ETFs correlated to VFMV include ROUS, DGRO, SMMV

VFMV
Vanguard Group, Inc. - Vanguard U.S. Minimum Volatility ETF
ROUS
Lattice Strategies Trust - Hartford Multifactor US Equity ETF
DGRO
BlackRock Institutional Trust Company N.A. - iShares Core Dividend Growth ETF
SMMV
iShares Trust - iShares MSCI USA Small-Cap Min Vol Factor ETF
VTV
Vanguard Group, Inc. - Vanguard Value ETF
USMV
BlackRock Institutional Trust Company N.A. - iShares MSCI USA Min Vol Factor ETF
DLN
WisdomTree Trust - WisdomTree U.S. LargeCap Dividend Fund
DTD
WisdomTree Trust - WisdomTree U.S. Total Dividend Fund
MGV
Vanguard Group, Inc. - Vanguard Mega Cap Value ETF
FVD
First Trust Exchange-Traded Fund III - First Trust Value Line Dividend Index Fund
VYM
Vanguard Group, Inc. - Vanguard High Dividend Yield Indx ETF

What is ETF correlation?

Correlation is a measure of the strength of the relationship between two ETFs. It quantifies the degree to which prices of the two ETFs typically move together.

Here, correlation is measured over the past year with the Pearson correlation coefficient (Pearon’s r), which ranges from -1 to 1.

Using ETF correlations in portfolio and strategy construction

ETF correlations can help you create investing strategies and portfolios. Use them to:

  • Build a diversified portfolio from uncorrelated or inversely correlated ETFs with the aim of minimizing portfolio risk.
  • Compare correlated or related ETFs to find one with a lower expense ratio or higher trading volume.
  • Create an investing strategy that hedges an ETF with an uncorrelated or inversely correlated ETF.

Automated Strategies
Related toVFMV

#OPUS-12

Opus-12

Category

Opus, Investing for the Long-Term

Risk Rating

Moderate

#CV

Controlling for Volatility

Category

Getting Defensive, Worried about Inflation?

Risk Rating

Moderate

Create your own algorithmic trading strategy with VFMV using Composer

FAQ

VFMV is a US Equities ETF. Vanguard U.S. Minimum Volatility ETF seeks to provide long-term capital appreciation. The fund invests primarily in U.S. common stocks that when they are combined in a portfolio minimize volatility relative to the broad market, as determined by the advisor. The portfolio will include a diverse mix of companies representing many different market sectors and industry groups. The advisor uses a quantitative model to evaluate all of the securities in an investment universe comprised of U.S. large, mid, and small capitalization stocks and to construct a U.S. equity portfolio that seeks to achieve exposure to securities with relatively strong recent performance subject to a set of reasonable constraints designed to foster portfolio diversification and liquidity. Securities with relatively strong recent past performance may be identified by measures such as performance over different time periods.

Yes, VFMV is actively managed. 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.

No, VFMV is not passively managed. It is actively managed. A passively managed fund typically tries to track or follow a market index. In an actively managed fund, the fund manager makes decisions about how funds are invested.

The 1-month return on VFMV is -0.01%. This is the percent change in the value of VFMV over the most recent 1-month period. The 3-month return on VFMV is -0.0015%. This is the percent change in the value of VFMV over the most recent 3-month period.

The standard deviation of VFMV for the past year is 0.1275%. Standard deviation is the typical amount that the daily returns vary from the mean of the returns over the time period, standardized to a period of a year.

ETFs similar to VFMV include SPHQ, SPHB, and DSI.

ETFs correlated to VFMV include ROUS, DGRO, and SMMV.

ETFs that are inversely correlated to VFMV include DOG, SDOW, and DXD.

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.