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UBS BBG EU 1-10Y TREA UCITS ETFUBS BBG EU 1-10Y TREA UCITS ETFUBS BBG EU 1-10Y TREA UCITS ETF

UBS BBG EU 1-10Y TREA UCITS ETF

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Overview
Analysis Discussions Technicals Seasonals

SS1EUA chart


Full chart

Key stats


Assets under management (AUM)
‪941.29 M‬ EUR
Fund flows (1Y)
‪462.06 M‬ EUR
Dividend yield (indicated)
1.56%
Discount/Premium to NAV
−0.10%
Shares outstanding
‪79.57 M‬
Expense ratio
0.10%

About UBS BBG EU 1-10Y TREA UCITS ETF


Issuer
UBS Group AG
Brand
UBS
Home page
ubs.com
Inception date
Nov 29, 2013
Structure
Luxembourg SICAV
Index tracked
Bloomberg Euro Aggregate Government - Treasury (1-10 Y)
Replication method
Physical
Management style
Passive
Primary advisor
UBS Asset Management (Europe) SA
ISIN
LU0969639128
The UBS ETF Bloomberg Barclays EUR Treasury 1-10 UCITS ETF sub-fund aims to track, before expenses, the price and income performance of the Bloomberg Barclays EUR Treasury 1-10 Bond Index (Total Return) (this sub-fund's Index)

Classification


Asset Class
Fixed income
Category
Government, treasury
Focus
Investment grade
Niche
Broad maturities
Strategy
Vanilla
Geography
Developed Europe
Weighting scheme
Market value
Selection criteria
Market value

SS1EUA analysis


What's in the fund
Exposure type
Bonds, Cash & Other
Government
Bonds, Cash & Other100.00%
Government98.80%
Cash0.81%
Corporate0.39%

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.