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CHINA
UBS MSCI CHINA A SF UCITS ETF
CHINA
Euronext Milan
CHINA
Euronext Milan
CHINA
Euronext Milan
CHINA
Euronext Milan
Market closed
Market closed
No trades
See on Supercharts
Overview
Analysis
Discussions
Technicals
Seasonals
CHINA
chart
Price
NAV
More
Full chart
1 day
−4.35%
5 days
2.53%
1 month
3.10%
6 months
13.27%
Year to date
25.02%
1 year
16.94%
5 years
−8.13%
All time
−8.13%
Key stats
Assets under management (AUM)
101.43 M
EUR
Fund flows (1Y)
−18.06 M
EUR
Dividend yield (indicated)
—
Discount/Premium to NAV
4.4%
About UBS MSCI CHINA A SF UCITS ETF
Issuer
UBS Group AG
Brand
UBS
Expense ratio
0.24%
Home page
ubs.com
Inception date
Feb 18, 2020
Index tracked
MSCI China A
Management style
Passive
ISIN
IE00BKFB6K94
The objective of the Fund is capital appreciation. The Fund tracks the daily performance of an equity index, called the MSCI China A Net Total Return Real time USD Index (theIndex), less fees and costs and consequently is passively managed.
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Classification
Asset Class
Equity
Category
Size and style
Focus
Total market
Niche
Broad-based
Strategy
Vanilla
Weighting scheme
Market cap
Selection criteria
Market cap
CHINA
analysis
What's in the fund
Exposure type
Stocks
Bonds, Cash & Other
Health Technology
Electronic Technology
Finance
Stock breakdown by region
51%
47%
0.6%
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.