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2803
PREMIA ETF SERIES CSI CAIXIN CHINA BEDROCK ECONOMY ETF HKD
2803
Hong Kong Exchange
2803
Hong Kong Exchange
2803
Hong Kong Exchange
2803
Hong Kong Exchange
Market closed
Market closed
No trades
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Overview
Analysis
Discussions
Technicals
Seasonals
2803
chart
Price
NAV
More
Full chart
1 day
1.86%
5 days
0.63%
1 month
−0.29%
6 months
9.31%
Year to date
22.91%
1 year
16.76%
5 years
17.38%
All time
5.74%
Key stats
Assets under management (AUM)
313.70 M
HKD
Fund flows (1Y)
3.70 M
HKD
Dividend yield (indicated)
2.88%
Discount/Premium to NAV
0.4%
About PREMIA ETF SERIES CSI CAIXIN CHINA BEDROCK ECONOMY ETF HKD
Issuer
Benchmark Co. Ltd.
Brand
Premia
Expense ratio
0.50%
Home page
etfprod.premia-partners.com
Inception date
Oct 20, 2017
Index tracked
CSI Caixin Rayliant Bedrock Economy Index - CNY
Management style
Passive
ISIN
HK0000366176
The investment objective of the Sub-Fund is to provide investment results that, before fees and expenses, closely correspond to the performance of 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
2803
analysis
What's in the fund
Exposure type
Stocks
Bonds, Cash & Other
Finance
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.