MIRAE ASSET GBL INVMTS (HK)LTD GLOBAL X ASIA USD INVT BOND ETF (USD)MIRAE ASSET GBL INVMTS (HK)LTD GLOBAL X ASIA USD INVT BOND ETF (USD)MIRAE ASSET GBL INVMTS (HK)LTD GLOBAL X ASIA USD INVT BOND ETF (USD)

MIRAE ASSET GBL INVMTS (HK)LTD GLOBAL X ASIA USD INVT BOND ETF (USD)

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Key stats


Assets under management (AUM)
‪4.95 M‬USD
Fund flows (1Y)
‪−14.65 M‬USD
Dividend yield (indicated)
4.40%
Discount/Premium to NAV
0.5%
Shares outstanding
‪675.00 K‬
Expense ratio

About MIRAE ASSET GBL INVMTS (HK)LTD GLOBAL X ASIA USD INVT BOND ETF (USD)


Issuer
Mirae Asset Global Investments Co., Ltd.
Brand
Global X
Inception date
Oct 12, 2023
Structure
Open-Ended Fund
Index tracked
Bloomberg Asia ex Japan USD Investment Grade Bond Index - Benchmark TR Net
Replication method
Physical
Management style
Passive
Distributes
Capital Gains
Primary advisor
Mirae Asset Global Investments (Hong Kong) Ltd.
ISIN
HK0000945672
The investment objective of the Sub-Fund is to provide investment results that, before fees and expenses, closely correspond to the performance of the Bloomberg Asia ex Japan USD Investment Grade Bond Index (the Index).

Classification


Asset Class
Fixed income
Category
Broad market, broad-based
Focus
Investment grade
Niche
Ultra-short term
Strategy
Vanilla
Geography
Asia-Pacific Ex-Japan
Weighting scheme
Market value
Selection criteria
Market value
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.