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SPDR BLOOMBERG EURO AGGREGATE BOND UCITS ETFSPDR BLOOMBERG EURO AGGREGATE BOND UCITS ETFSPDR BLOOMBERG EURO AGGREGATE BOND UCITS ETF

SPDR BLOOMBERG EURO AGGREGATE BOND UCITS ETF

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Overview
Analysis Holdings Discussions Technicals Seasonals

EAGG chart


Full chart

Key stats


Assets under management (AUM)
‪516.33 M‬ EUR
Fund flows (1Y)
‪−4.06 M‬ EUR
Dividend yield (indicated)
1.96%
Discount/Premium to NAV
0.1%
Shares outstanding
‪9.40 M‬
Expense ratio
0.17%

About SPDR BLOOMBERG EURO AGGREGATE BOND UCITS ETF


Issuer
State Street Corporation
Brand
SPDR
Home page
ie.spdrs.com
Inception date
May 23, 2011
Structure
Irish VCIC
Index tracked
Bloomberg Euro Aggregate
Replication method
Physical
Management style
Passive
Dividend treatment
Distributes
Primary advisor
State Street Global Advisors Ltd.
ISIN
IE00B41RYL63
The objective of the Fund is to track the performance of the Euro-denominated bond market for fixed-rate, investment grade (high quality) securities.

Classification


Asset Class
Fixed income
Category
Broad market, broad-based
Focus
Investment grade
Niche
Broad maturities
Strategy
Vanilla
Geography
Global
Weighting scheme
Market value
Selection criteria
Market value

EAGG analysis


What's in the fund
Exposure type
Bonds, Cash & Other
Government
Corporate
Stock breakdown by region
0.6%0.2%4%93%0%0.1%0.9%

Technicals


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

Seasonals


Displays a symbol's price movements over previous years to identify recurring trends.

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