STATE STREET GBL ADVISORS SINGAPORE ABF PAN ASIA BOND INDEX FUNDSTATE STREET GBL ADVISORS SINGAPORE ABF PAN ASIA BOND INDEX FUNDSTATE STREET GBL ADVISORS SINGAPORE ABF PAN ASIA BOND INDEX FUND

STATE STREET GBL ADVISORS SINGAPORE ABF PAN ASIA BOND INDEX FUND

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Key stats


Assets under management (AUM)
‪3.52 B‬USD
Fund flows (1Y)
‪55.26 M‬USD
Dividend yield (indicated)
3.09%
Discount/Premium to NAV
−0.1%

About STATE STREET GBL ADVISORS SINGAPORE ABF PAN ASIA BOND INDEX FUND


Issuer
State Street Corp.
Brand
ABF PAIF
Expense ratio
0.19%
Home page
Inception date
Jun 29, 2005
Index tracked
Markit iBoxx ABF Pan-Asia Index - USD
Management style
Passive
ISIN
SG9999002026
ABF Pan Asia Bond Index Fund is an exchange traded fund which develops bond markets in Asia. Its investment objective is to seek to provide investment results that correspond to the total return of the Markit iBoxx ABF Pan-Asia Index, before fees and expenses. The fund was founded on June 29, 2005 and is headquartered in Singapore.

Classification


Asset Class
Fixed income
Category
Government, treasury
Focus
Broad credit
Niche
Broad maturities
Strategy
Vanilla
Weighting scheme
Market value
Selection criteria
Market value
What's in the fund
Exposure type
Bonds, Cash & Other
Government
Bonds, Cash & Other100.00%
Government95.00%
Corporate3.84%
Cash1.12%
Agency0.04%
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.