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ETFs

Franklin FTSE China ETF

FLCH
$--
Today’s Change
-- (--)

Snapshot
*

Inception Date
Nov 2, 2017
Expense Ratio
0.19%
Type
Global Ex. US Equities
Fund Owner
Franklin Templeton
Volume (1m avg. daily)
$313,685
AUM
$107,879,999
Associated Index
FTSE China Capped Index
Inverse/Leveraged
No
Passive/Active
Passive
Fractionable on Composer
Yes
Prospectus
View

Top 10 Holdings

700
Tencent Holdings Ltd.
12.21%
9988
Alibaba Group Holding Ltd
9.10%
3690
Meituan - Ordinary Shares - Class B
4.03%
PDD
PDD Holdings Inc - ADR
2.83%
939
China Construction Bank Corp. - Ordinary Shares - Class H
2.59%
1398
Industrial & Commercial Bank of China Ltd. - Ordinary Shares - Class H
1.86%
2318
Ping AN Insurance (Group) Co. of China, Ltd. - Ordinary Shares - Class H
1.85%
9999
NetEase Inc
1.82%
9888
Baidu Inc
1.81%
9618
JD.com Inc - Ordinary Shares - Class A
1.77%
Invest with FLCH

What is FLCH?

Franklin FTSE China ETF seeks to provide investment results that closely correspond, before fees and expenses, to the performance of the FTSE China Capped Index. FTSE China Capped Index is a market-capitalization weighted index representing the performance of Chinese large and mid capitalization stocks.

ETFs related toFLCH

ETFs correlated to FLCH include MCHI, GXC, YINN

FLCH
Franklin Templeton ETF Trust - Franklin FTSE China ETF
MCHI
BlackRock Institutional Trust Company N.A. - iShares MSCI China ETF
GXC
SSgA Active Trust - SPDR S&P China ETF
YINN
Direxion Shares ETF Trust - Direxion Daily FTSE China Bull 3X Shares
FXI
BlackRock Institutional Trust Company N.A. - iShares China Large-Cap ETF
CXSE
WisdomTree Trust - WisdomTree China ex-State-Owned Enterprises Fund
CWEB
Direxion Shares ETF Trust - Direxion Daily CSI China Internet Index Bull 2X Shares
KWEB
KraneShares Trust - KraneShares CSI China Internet ETF
CHIQ
Global X Funds - Global X MSCI China Consumer Discretionary ETF
CQQQ
Invesco Capital Management LLC - Invesco China Technology ETF
EMQQ
Exchange Traded Concepts Trust - EMQQ The Emerging Markets Internet and Ecommerce 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 toFLCH

#GLOBE

Follow the Global Trend

Category

Momentum, Lever Up, Go Global, Diversification

Risk Rating

Moderate

#DRAG

Copy the Dragon Portfolio

Category

Go Global, Copy the Greats

Risk Rating

Aggressive

Create your own algorithmic trading strategy with FLCH using Composer

News Related to FLCH

Chinese Stocks Rebound In 2024 After 3-Year Slump: 3 ETFs To Watch

Jan 3, 2025 • by Chandrima Sanyal
Chinese Stocks Rebound In 2024 After 3-Year Slump: 3 ETFs To Watch
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Chinese Stocks, ETFs Struggle As Multi-Trillion-Yuan Stimulus Hopes Fall Short, Yet More Measures 'Are Still On The Table'

Oct 14, 2024 • by Piero Cingari
Chinese Stocks, ETFs Struggle As Multi-Trillion-Yuan Stimulus Hopes Fall Short, Yet More Measures 'Are Still On The Table'
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Chinese ETFs Fizzle During Pre-Market Despite US Investors Pouring $5.2B Last Week: Here's What Happened

Oct 8, 2024 • by Pooja Rajkumari
Chinese ETFs Fizzle During Pre-Market Despite US Investors Pouring $5.2B Last Week: Here's What Happened
Read

China Set To Surpass US In Advanced Military Manufacturing By 2035: Report

Oct 2, 2024 • by Benzinga Neuro
China Set To Surpass US In Advanced Military Manufacturing By 2035: Report
Read

FAQ

FLCH is a Global Ex. US Equities ETF. Franklin FTSE China ETF seeks to provide investment results that closely correspond, before fees and expenses, to the performance of the FTSE China Capped Index. FTSE China Capped Index is a market-capitalization weighted index representing the performance of Chinese large and mid capitalization stocks.

FLCH tracks the FTSE China Capped Index.

No, FLCH 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, FLCH 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 FLCH is -0.0104%. This is the percent change in the value of FLCH over the most recent 1-month period. The 3-month return on FLCH is -0.0206%. This is the percent change in the value of FLCH over the most recent 3-month period.

The standard deviation of FLCH for the past year is 0.3106%. 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 FLCH include EWZ, EWW, and EWT.

ETFs correlated to FLCH include MCHI, GXC, and YINN.

ETFs that are inversely correlated to FLCH include YANG, EDZ, and EFZ.

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.