PREMIA PARTNERS COMPANY LTD PREMIA ASIA INNOVATIVE TECH ETF USDPREMIA PARTNERS COMPANY LTD PREMIA ASIA INNOVATIVE TECH ETF USDPREMIA PARTNERS COMPANY LTD PREMIA ASIA INNOVATIVE TECH ETF USD

PREMIA PARTNERS COMPANY LTD PREMIA ASIA INNOVATIVE TECH ETF USD

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Key stats


Assets under management (AUM)
‪3.73 M‬USD
Fund flows (1Y)
Dividend yield (indicated)
Discount/Premium to NAV
−0.05%
Shares outstanding
‪300.00 K‬
Expense ratio
0.50%

About PREMIA PARTNERS COMPANY LTD PREMIA ASIA INNOVATIVE TECH ETF USD


Issuer
Benchmark Co. Ltd.
Brand
Premia
Inception date
Aug 1, 2018
Index tracked
Premia FactSet Asia Metaverse and Innovative Technology Index - Benchmark TR Net
Replication method
Physical
Management style
Passive
Dividend treatment
Distributes
Income tax type
Capital Gains
Primary advisor
Premia Partners Co. Ltd.
ISIN
HK0000433406
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

Classification


Asset Class
Equity
Category
Sector
Focus
Theme
Niche
Broad thematic
Strategy
Multi-factor
Geography
Hong Kong
Weighting scheme
Equal
Selection criteria
Multi-factor
What's in the fund
Exposure type
StocksBonds, Cash & Other
Electronic Technology
Producer Manufacturing
Technology Services
Consumer Durables
Stock breakdown by region
100%
Top 10 holdings
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.

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