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iPath Series B Bloomberg Cotton Subindex Total ReturnSM ETN

BAL
$--
Today’s Change
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Snapshot
*

Inception Date
Jan 17 2018
Expense Ratio
0.45%
Type
Global Commodities & Metals
Fund Owner
Barclays iPath
Volume (1m avg. daily)
$178,514
AUM
$16,679,661
Associated Index
Bloomberg Cotton Sub-Index
Inverse/Leveraged
No
Passive/Active
Passive
Dividend
No

Top 10 Holdings

Invest with BAL

What is BAL?

The iPath Series B Bloomberg Cotton Subindex Total Return ETNs (the "ETNs") are designed to provide exposure to the Bloomberg Cotton Subindex Total Return (the "Index"). The Index reflects the returns that are potentially available through an unleveraged investment in the futures contracts on cotton. The Index currently consists of one futures contract on the commodity of cotton which is included in the Bloomberg Commodity Index Total Return.

ETFs related toBAL

ETFs correlated to BAL include GDEF, PPIE, MEMX

BAL
Barclays Bank PLC - iPath Series B Bloomberg Cotton Subindex Total Return ETN
GDEF
Goldman Sachs ETF Trust - Goldman Sachs Defensive Equity ETF
PPIE
Putnam ETF Trust - Putnam PanAgora ESG International Equity ETF
MEMX
Matthews International Funds - Matthews Emerging Markets ex China Active ETF
XC
WisdomTree Trust - WisdomTree Emerging Markets Ex-China
EMCH
Emerge ETF Trust - Emerge EMPWR Sustainable Emerging Markets Equity ETF
NBCM
Neuberger Berman ETF Trust - Commodity Strategy ETF
JJS
Barclays Bank PLC - iPath Series B Bloomberg Softs Subindex Total Return ETN
IDVO
Amplify ETF Trust - Amplify International Enhanced Dividend Income ETF
TFLR
T. Rowe Price ExchangeTraded Funds Inc - T. Rowe Price Floating Rate ETF
DBA
Invesco DB Multi-Sector Commodity Trust - Invesco DB Agriculture Fund

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 toBAL

#OPUS-8

Opus-8

Category

Opus

Risk Rating

Conservative

Can contain

BALDBA
#OPUS-12

Opus-12

Category

Opus

Risk Rating

Moderate

Can contain

BALDBA

Create your own algorithmic trading strategy with BAL using Composer

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.