PING AN FUND MGMTPING AN FUND MGMTPING AN FUND MGMT

PING AN FUND MGMT

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Key stats


Assets under management (AUM)
‪28.42 M‬CNY
Fund flows (1Y)
‪−69.31 M‬CNY
Dividend yield (indicated)
Discount/Premium to NAV
0.8%
Shares outstanding
‪30.27 M‬
Expense ratio

About PING AN FUND MGMT


Issuer
Ping An Insurance (Group) Co. of China Ltd.
Brand
Ping An
Inception date
Aug 25, 2023
Structure
Open-Ended Fund
Index tracked
No Underlying Index
Replication method
Physical
Management style
Active
ISIN
CNE1000066X3

Classification


Asset Class
Fixed income
Category
Broad market, broad-based
Focus
Broad credit
Niche
Broad maturities
Geography
China
Weighting scheme
Proprietary
Selection criteria
Proprietary
What's in the fund
Exposure type
StocksBonds, Cash & Other
Producer Manufacturing
Electronic Technology
Health Technology
Process Industries
Stocks97.32%
Producer Manufacturing19.75%
Electronic Technology15.53%
Health Technology11.92%
Process Industries10.40%
Technology Services6.95%
Non-Energy Minerals4.07%
Commercial Services3.76%
Finance3.64%
Consumer Non-Durables3.49%
Consumer Durables3.00%
Industrial Services2.67%
Utilities2.39%
Retail Trade2.22%
Transportation2.18%
Distribution Services1.78%
Energy Minerals1.48%
Consumer Services1.32%
Communications0.71%
Health Services0.07%
Bonds, Cash & Other2.68%
Cash2.38%
Miscellaneous0.30%
Summarizing what the indicators are suggesting.
Oscillators
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Oscillators
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Summary
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Summary
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Summary
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Moving Averages
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Moving Averages
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Displays a symbol's price movements over previous years to identify recurring trends.