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ETFs

Global X Funds Global X Wind Energy ETF

WNDY
$--
Today’s Change
-- (--)

Snapshot
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Inception Date
Sep 09 2021
Expense Ratio
0.50%
Type
Global Equities
Fund Owner
Global X
Volume (1m avg. daily)
$18,627
AUM
$3,788,138
Associated Index
Solactive Wind Energy Index
Inverse/Leveraged
No
Passive/Active
Passive
Fractionable on Composer
No
Prospectus
View

Top 10 Holdings

NPI
Northland Power Inc.
11.57%
VWS
Vestas Wind Systems AS
11.35%
ORSTED
Orsted A/S
9.62%
BLX
Boralex, Inc. - Ordinary Shares - Class A
4.74%
NDX1
Nordex SE
4.68%
ANE
Corporacion Acciona Energias Renovables S.A. Unipersonal
4.60%
916
China Longyuan Power Group Corporation Limited - Ordinary Shares - Class H
4.33%
601016
CECEP Wind-Power Corporation - Ordinary Shares - Class A
4.30%
RNW
ReNew Energy Global plc - Ordinary Shares - Class A
4.05%
INE
Innergex Renewable Energy Inc
3.67%
Invest with WNDY

What is WNDY?

The Fund invests at least 80% of its total assets, plus borrowings for investments purposes (if any), in the securities of the Solactive Wind Energy Index (the "Underlying Index") and in American Depositary Receipts ("ADRs") and Global Depositary Receipts ("GDRs") based on the securities in the Underlying Index. In constructing the Underlying Index, the Index Provider first applies a proprietary natural language processing algorithm to the eligible universe, which seeks to identify and rank companies involved in field of wind energy technology based on filings, disclosures and other public information (e.g. regulatory filings, earnings transcripts, etc.). The Index Provider also applies an ESG (Environmental, Social and Governance) screening process to the universe of eligible companies. The Index Provider, in partnership with ESG data provider Minerva, on a quarterly basis reviews each constituent of the Underlying Index for compliance with the principles of the United Nations Global Compact. Any existing or potential constituent of the Underlying Index which does not meet the labor, human rights, environmental, and anti-corruption standards as defined by the United Nations Global Compact Principles as of the quarterly review will be excluded from the Underlying Index, as determined by the Index Provider. The highest-ranking companies identified by the natural language processing algorithm, as of the selection date, are further reviewed by the Index Provider to confirm they derive at least 50% of their revenues from the business activities described above, or that they have primary business operations in the business activities described above but do not currently generate revenues in the case of Pre-Revenue Wind Energy Companies.

ETFs related toWNDY

ETFs correlated to WNDY include ICLN, VSS, ACWX

WNDY
Global X Funds - Global X Wind Energy ETF
ICLN
BlackRock Institutional Trust Company N.A. - iShares Global Clean Energy ETF
VSS
Vanguard Group, Inc. - Vanguard FTSE All-World Ex-US Small Capital Index Fund ETF
ACWX
BlackRock Institutional Trust Company N.A. - iShares MSCI ACWI ex US ETF
IXUS
BlackRock Institutional Trust Company N.A. - iShares Core MSCI Total International Stock ETF
VXUS
Vanguard Group, Inc. - Vanguard Total International Stock ETF
CWI
SSgA Active Trust - SPDR MSCI ACWI ex-US ETF
DFAX
Dimensional ETF Trust - Dimensional World ex U.S. Core Equity 2 ETF
VEU
Vanguard Group, Inc. - Vanguard FTSE All-World ex-US ETF
IQDF
FlexShares Trust - FlexShares International Quality Dividend Index Fund
VSGX
Vanguard Group, Inc. - Vanguard ESG International Stock 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 toWNDY

#DPE

Diversify with Private Equity

Category

Getting Started, Go Global, Diversification

Risk Rating

Moderate

#DGE

Diversify with Global Exposure

Category

Momentum, Tactical Asset Allocation, Go Global, Diversification

Risk Rating

Aggressive

Create your own algorithmic trading strategy with WNDY using Composer

FAQ

WNDY is a Global Equities ETF. The Fund invests at least 80% of its total assets, plus borrowings for investments purposes (if any), in the securities of the Solactive Wind Energy Index (the "Underlying Index") and in American Depositary Receipts ("ADRs") and Global Depositary Receipts ("GDRs") based on the securities in the Underlying Index. In constructing the Underlying Index, the Index Provider first applies a proprietary natural language processing algorithm to the eligible universe, which seeks to identify and rank companies involved in field of wind energy technology based on filings, disclosures and other public information (e.g. regulatory filings, earnings transcripts, etc.). The Index Provider also applies an ESG (Environmental, Social and Governance) screening process to the universe of eligible companies. The Index Provider, in partnership with ESG data provider Minerva, on a quarterly basis reviews each constituent of the Underlying Index for compliance with the principles of the United Nations Global Compact. Any existing or potential constituent of the Underlying Index which does not meet the labor, human rights, environmental, and anti-corruption standards as defined by the United Nations Global Compact Principles as of the quarterly review will be excluded from the Underlying Index, as determined by the Index Provider. The highest-ranking companies identified by the natural language processing algorithm, as of the selection date, are further reviewed by the Index Provider to confirm they derive at least 50% of their revenues from the business activities described above, or that they have primary business operations in the business activities described above but do not currently generate revenues in the case of Pre-Revenue Wind Energy Companies.

WNDY tracks the Solactive Wind Energy Index.

No, WNDY 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, WNDY 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 WNDY is -0.0842%. This is the percent change in the value of WNDY over the most recent 1-month period. The 3-month return on WNDY is -0.1831%. This is the percent change in the value of WNDY over the most recent 3-month period.

The standard deviation of WNDY for the past year is 0.2193%. 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 WNDY include PBW, IGF, and ARKK.

ETFs correlated to WNDY include ICLN, VSS, and ACWX.

ETFs that are inversely correlated to WNDY include EFZ, EPV, and EDZ.

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.