Skip to Content
ETFs

ETC 6 Meridian Low Beta Equity ETF

SIXL
$--
Today’s Change
-- (--)

Snapshot
*

Inception Date
May 11, 2020
Expense Ratio
0.80%
Type
US Equities
Fund Owner
Exchange Traded Concepts
Volume (1m avg. daily)
$151,108
AUM
$139,133,390
Associated Index
None
Inverse/Leveraged
No
Passive/Active
Active
Fractionable on Composer
No
Prospectus
View

Top 10 Holdings

TWNK
Hostess Brands Inc - Ordinary Shares - Class A
0.61%
NXGN
NextGen Healthcare Inc
0.61%
LLY
Lilly(Eli) & Co
0.53%
n/a
CASH & OTHER
0.50%
CASY
Casey`s General Stores, Inc.
0.49%
LRN
Stride Inc
0.49%
BRBR
Bellring Brands Inc
0.49%
PGR
Progressive Corp.
0.49%
MUSA
Murphy USA Inc
0.49%
MOH
Molina Healthcare Inc
0.48%
Invest with SIXL

What is SIXL?

A quantitively-driven strategy emphasizing low beta stocks. Stocks are first screened to remove those that score poorly on financial and growth measures. Those stocks that remain are then ranked according to their beta. In 1972, Fischer Black published an academic paper describing how the security market line (the line equating stock performance to systematic risk) was too flat relative to what existing theory (Capital Asset Pricing Model, or CAPM) had proposed. Stocks with low betas performed better than what was predicted by the CAPM and stocks with high betas did not perform well enough to justify their additional risks.

ETFs related toSIXL

ETFs correlated to SIXL include SMMV, XMLV, FVD

SIXL
Exchange Traded Concepts Trust - ETC 6 Meridian Low Beta Equity ETF
SMMV
iShares Trust - iShares MSCI USA Small-Cap Min Vol Factor ETF
XMLV
Invesco Capital Management LLC - Invesco S&P MidCap Low Volatility ETF
FVD
First Trust Exchange-Traded Fund III - First Trust Value Line Dividend Index Fund
SDY
SPDR Series Trust - SPDR Dividend ETF
REGL
ProShares Trust - ProShares S&P MidCap 400 Div Aristocrats ETF
SMDV
ProShares Trust - ProShares Russell 2000 Div Growers ETF
DVY
BlackRock Institutional Trust Company N.A. - iShares Select Dividend ETF
LVHD
Legg Mason ETF Investment Trust - Franklin U.S. Low Volatility High Dividend Index ETF
LGLV
SPDR Series Trust - SPDR SSGA US Large Cap Low Volatility Index ETF
CDL
Victory Portfolios II - VictoryShares US Large Cap High Div Volatility Wtd 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 toSIXL

#BTD

Buy the Dips: Nasdaq 100

Category

Featured, Technology Focus

Risk Rating

Aggressive

#DSS

Diversify with Sin Stocks

Category

Grow Your Portfolio, Diversification

Risk Rating

Aggressive

Create your own algorithmic trading strategy with SIXL using Composer

News Related to SIXL

CoreCivic's New Contracts On Focus, Analyst Sees Revenue Opportunities In 2026

Feb 11, 2025 • by Lekha Gupta
CoreCivic's New Contracts On Focus, Analyst Sees Revenue Opportunities In 2026
Read

Wendy's Mixed Q3: EPS Outlook Narrows Despite Revenue Beats, Sales Growth

Oct 31, 2024 • by Lekha Gupta
Wendy's Mixed Q3: EPS Outlook Narrows Despite Revenue Beats, Sales Growth
Read

FAQ

SIXL is a US Equities ETF. A quantitively-driven strategy emphasizing low beta stocks. Stocks are first screened to remove those that score poorly on financial and growth measures. Those stocks that remain are then ranked according to their beta. In 1972, Fischer Black published an academic paper describing how the security market line (the line equating stock performance to systematic risk) was too flat relative to what existing theory (Capital Asset Pricing Model, or CAPM) had proposed. Stocks with low betas performed better than what was predicted by the CAPM and stocks with high betas did not perform well enough to justify their additional risks.

Yes, SIXL 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, SIXL 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 SIXL is -0.0078%. This is the percent change in the value of SIXL over the most recent 1-month period. The 3-month return on SIXL is 0.0066%. This is the percent change in the value of SIXL over the most recent 3-month period.

The standard deviation of SIXL for the past year is 0.1338%. 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 SIXL include IVV, MDY, and IJR.

ETFs correlated to SIXL include SMMV, XMLV, and FVD.

ETFs that are inversely correlated to SIXL include SDOW, DOG, 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.