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HMCA
HSBC MSCI CHINA A UCITS ETF
HMCA
Euronext Milan
HMCA
Euronext Milan
HMCA
Euronext Milan
HMCA
Euronext Milan
Market closed
Market closed
No trades
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Overview
Analysis
Discussions
Technicals
Seasonals
HMCA
chart
Price
NAV
More
Full chart
1 day
0.16%
5 days
0.56%
1 month
−0.25%
6 months
13.42%
Year to date
18.52%
1 year
19.38%
5 years
8.17%
All time
34.11%
Key stats
Assets under management (AUM)
172.00 M
EUR
Fund flows (1Y)
107.16 M
EUR
Dividend yield (indicated)
2.01%
Discount/Premium to NAV
−0.5%
About HSBC MSCI CHINA A UCITS ETF
Issuer
HSBC Holdings Plc
Brand
HSBC
Expense ratio
0.30%
Home page
assetmanagement.hsbc.co.uk
Inception date
Jul 27, 2018
Index tracked
MSCI China A Inclusion Index
Management style
Passive
ISIN
IE00BF4NQ904
The Fund aims to track as closely as possible the returns of the MSCI China A Inclusion Index (the Index). The Fund will invest in or gain exposure to shares of companies which make up the Index.
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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
HMCA
analysis
What's in the fund
Exposure type
Stocks
Bonds, Cash & Other
Finance
Producer Manufacturing
Electronic Technology
Consumer Non-Durables
Stock breakdown by region
100%
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.