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FXC
ISHARES CHINA LARGE CAP UCITS ETF DIST
FXC
Euronext Milan
FXC
Euronext Milan
FXC
Euronext Milan
FXC
Euronext Milan
Market closed
Market closed
No trades
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Overview
Analysis
News
Discussions
Technicals
Seasonals
FXC
chart
Price
NAV
More
Full chart
1 day
1.55%
5 days
−0.81%
1 month
−3.57%
6 months
13.70%
Year to date
31.01%
1 year
21.18%
5 years
−24.54%
All time
89.04%
Key stats
Assets under management (AUM)
565.34 M
EUR
Fund flows (1Y)
−16.69 M
EUR
Dividend yield (indicated)
2.42%
Discount/Premium to NAV
1.3%
About ISHARES CHINA LARGE CAP UCITS ETF DIST
Issuer
Blackrock Finance, Inc.
Brand
iShares
Expense ratio
0.74%
Home page
ishares.com
Inception date
Oct 21, 2004
Index tracked
FTSE China 50 Net Tax USD Index
Management style
Passive
ISIN
IE00B02KXK85
The investment objective of this Fund is to provide investors with a total return, taking into account both capital and income returns, which reflects the return of the FTSE China 50 Index.
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Classification
Asset Class
Equity
Category
Size and style
Focus
Large cap
Niche
Broad-based
Strategy
Vanilla
Weighting scheme
Market cap
Selection criteria
Market cap
FXC
analysis
What's in the fund
Exposure type
Stocks
Bonds, Cash & Other
Finance
Technology Services
Retail Trade
Transportation
Stock breakdown by region
100%
FXC
news
Technicals
Summarizing what the indicators are
suggesting.
Oscillators
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Oscillators
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Summary
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Summary
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Summary
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Moving Averages
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Moving Averages
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Seasonals
Displays a symbol's price movements over previous years to identify recurring trends.