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3070
PING AN OF CHINA ASSET MNMNT (HK) CSI HK DIVIDEND ETF
3070
Hong Kong Exchange
3070
Hong Kong Exchange
3070
Hong Kong Exchange
3070
Hong Kong Exchange
Market closed
Market closed
No trades
See on Supercharts
Overview
Analysis
Discussions
Technicals
Seasonals
3070
chart
Price
NAV
More
Full chart
1 day
−0.76%
5 days
0.32%
1 month
−0.38%
6 months
7.26%
Year to date
30.07%
1 year
29.10%
5 years
6.71%
All time
63.64%
Key stats
Assets under management (AUM)
1.52 B
HKD
Fund flows (1Y)
474.25 M
HKD
Dividend yield (indicated)
5.45%
Discount/Premium to NAV
−0.3%
About PING AN OF CHINA ASSET MNMNT (HK) CSI HK DIVIDEND ETF
Issuer
Ping An Insurance (Group) Co. of China Ltd.
Brand
Ping An
Expense ratio
0.77%
Home page
asset.pingan.com.hk
Inception date
Feb 10, 2012
Index tracked
CSI Hong Kong Dividend Index
Management style
Passive
ISIN
HK0000098449
The HK Dividend ETFs investment objective is to seek to track the performance of the CSI Hong Kong Dividend Index (the Underlying Index).
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Classification
Asset Class
Equity
Category
Size and style
Focus
Total market
Niche
Broad-based
Strategy
Dividends
Weighting scheme
Market cap
Selection criteria
Dividends
3070
analysis
What's in the fund
Exposure type
Stocks
Bonds, Cash & Other
Finance
Energy Minerals
Communications
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.