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Credit Suisse S&P MLP Index ETN

MLPO
$--
Today’s Change
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Snapshot
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Inception Date
Dec 03 2014
Expense Ratio
0.95%
Type
US MLPs
Fund Owner
Credit Suisse
Volume (1m avg. daily)
$10,762
AUM
Associated Index
S&P MLP Index
Inverse/Leveraged
No
Passive/Active
Passive
Fractionable on Composer
No

Top 10 Holdings

Invest with MLPO

What is MLPO?

The Credit Suisse S&P MLP ETN tracks a market-cap-weighted index of US-listed MLPs and limited liability corporations that have tax treatment similar to MLPs.

ETFs related toMLPO

ETFs correlated to MLPO include GFEB, DFLV, GAZ

MLPO
Credit Suisse AG Nassau Branch - Credit Suisse S&P MLP Index Exchange Traded Notes
GFEB
First Trust Exchange-Traded Fund VIII - FT Cboe Vest U.S. Equity Moderate Buffer ETF - February
DFLV
Dimensional ETF Trust - Dimensional US Large Cap Value ETF
GAZ
Barclays Bank PLC - Global Medium-Term Notes Series A
BOIL
ProShares Trust - ProShares Ultra Bloomberg Natural Gas 2x Shares
UNG
United States Commodity Funds LLC - United States Natural Gas Fund
CMDY
BlackRock Institutional Trust Company N.A. - iShares Bloomberg Roll Select Commodity Strategy ETF
COMB
GraniteShares Gold Trust - GraniteShares Bloomberg Commodity Broad Strategy No K-1 ETF
DJP
Barclays Bank PLC - iPath Bloomberg Commodity Total Return ETN
BCI
abrdn ETF - abrdn Bloomberg All Commodity Strategy K-1 Free 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.

FAQ

MLPO is a US MLPs ETF. The Credit Suisse S&P MLP ETN tracks a market-cap-weighted index of US-listed MLPs and limited liability corporations that have tax treatment similar to MLPs.

MLPO tracks the S&P MLP Index.

No, MLPO 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, MLPO 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 MLPO is -0.1046%. This is the percent change in the value of MLPO over the most recent 1-month period. The 3-month return on MLPO is 0.0153%. This is the percent change in the value of MLPO over the most recent 3-month period.

The standard deviation of MLPO for the past year is 1.0337%. 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 MLPO include AMJ, FPE, and PFF.

ETFs correlated to MLPO include GFEB, DFLV, and GAZ.

ETFs that are inversely correlated to MLPO include UNIY, KOLD, and IBML.

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.