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iShares Focused Value Factor ETF

FOVL
$--
Today’s Change
-- (--)

Snapshot
*

Inception Date
Mar 19 2019
Expense Ratio
0.25%
Type
US Equities
Fund Owner
Blackrock (iShares)
Volume (1m avg. daily)
$255,545
AUM
$21,772,683
Associated Index
Focused Value Select Index
Inverse/Leveraged
No
Passive/Active
Passive
Fractionable on Composer
Yes
Prospectus

Top 10 Holdings

MPC
Marathon Petroleum Corp
3.90%
ACGL
Arch Capital Group Ltd
3.64%
NUE
Nucor Corp.
3.56%
TOL
Toll Brothers Inc.
3.26%
PVH
PVH Corp
3.25%
PAG
Penske Automotive Group Inc
3.20%
KNX
Knight-Swift Transportation Holdings Inc - Ordinary Shares - Class A
3.04%
JPM
JPMorgan Chase & Co.
2.87%
AN
Autonation Inc.
2.85%
OLN
Olin Corp.
2.80%
Invest with FOVL

What is FOVL?

The iShares Focused Value Factor ETF (the Fund ) seeks to track the investment results of an index composed of U.S. large- and mid-capitalization stocks with prominent value characteristics. The top 10% of constituents are screened out based on 12-month realized volatility, and then from there the top 10% of constituents with the most leverage are also screened out. Following these two initial screens for companies with these relatively more risky characteristics, the remaining companies are evaluated to exclude companies with a negative sentiment score, which is determined by examining the prospective earnings per share estimates for the current and following fiscal year. The remaining companies are then ranked based on a weighted composite score of four value factor metrics; price-to-book, price-to-dividend, price-to-earnings and price-to-cash flow from operations (the Composite Score ).

ETFs related toFOVL

ETFs correlated to FOVL include VFVA, DON, DFAT

FOVL
iShares Trust - iShares Focused Value Factor ETF
VFVA
Vanguard Group, Inc. - Vanguard U.S. Value Factor ETF
DON
WisdomTree Trust - WisdomTree U.S. MidCap Dividend Fund
DFAT
Dimensional ETF Trust - Dimensional U.S. Targeted Value ETF
FAB
First Trust Exchange-Traded Fund III - First Trust Multi Cap Value AlphaDEX Fund
XMVM
Invesco Capital Management LLC - Invesco S&P MidCap Value with Momentum ETF
DFLV
Dimensional ETF Trust - Dimensional US Large Cap Value ETF
SYLD
Cambria Investment Management LP - Cambria Shareholder Yield ETF
DFSV
Dimensional ETF Trust - Dimensional US Small Cap Value ETF
VBR
Vanguard Group, Inc. - Vanguard Small Cap Value ETF
AVUV
American Century ETF Trust - Avantis U.S. Small Cap Value 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 toFOVL

#BUTTERFLY

Golden Butterfly

Category

Getting Defensive

Risk Rating

Moderate

#GLOMO

On Top of the World: Global Momentum

Category

Momentum, Lever Up, Go Global

Risk Rating

Moderate

Create your own algorithmic trading strategy with FOVL using Composer

FAQ

FOVL is a US Equities ETF. The iShares Focused Value Factor ETF (the Fund ) seeks to track the investment results of an index composed of U.S. large- and mid-capitalization stocks with prominent value characteristics. The top 10% of constituents are screened out based on 12-month realized volatility, and then from there the top 10% of constituents with the most leverage are also screened out. Following these two initial screens for companies with these relatively more risky characteristics, the remaining companies are evaluated to exclude companies with a negative sentiment score, which is determined by examining the prospective earnings per share estimates for the current and following fiscal year. The remaining companies are then ranked based on a weighted composite score of four value factor metrics; price-to-book, price-to-dividend, price-to-earnings and price-to-cash flow from operations (the Composite Score ).

FOVL tracks the Focused Value Select Index.

No, FOVL is not actively managed. It is passively 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.

Yes, FOVL is passively 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 FOVL is -0.1351%. This is the percent change in the value of FOVL over the most recent 1-month period. The 3-month return on FOVL is -0.0442%. This is the percent change in the value of FOVL over the most recent 3-month period.

The standard deviation of FOVL for the past year is 0.2518%. 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 FOVL include QUAL, SUSA, and USMV.

ETFs correlated to FOVL include VFVA, DON, and DFAT.

ETFs that are inversely correlated to FOVL include FAZ, SKF, and SEF.

Disclaimers

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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.