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UBS BL TIPS 1-10 UCITS ETFUBS BL TIPS 1-10 UCITS ETFUBS BL TIPS 1-10 UCITS ETF

UBS BL TIPS 1-10 UCITS ETF

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Overview
Analysis Holdings News Discussions Technicals Seasonals

TIP1D chart


Full chart

Key stats


Assets under management (AUM)
‪74.08 M‬ EUR
Fund flows (1Y)
‪11.08 M‬ EUR
Dividend yield (indicated)
3.54%
Discount/Premium to NAV
0.02%
Shares outstanding
‪6.24 M‬
Expense ratio
0.10%

About UBS BL TIPS 1-10 UCITS ETF


Issuer
UBS GROUP N
Brand
UBS
Home page
ubs.com
Inception date
Sep 30, 2016
Structure
Luxembourg SICAV
Index tracked
Bloomberg US Govt Inflation-Linked (1-10 Y)
Replication method
Physical
Management style
Passive
Dividend treatment
Distributes
Primary advisor
UBS Asset Management (Europe) SA
ISIN
LU1459801434
The UBS ETF Bloomberg Barclays TIPS 1-10 UCITS ETF sub-fund aims to track, before expenses, the price and income performance of the Bloomberg Barclays US Government 1-10 Year Inflation-Linked Bond Index (Total Return) (this sub-fund's Index).

Classification


Asset Class
Fixed income
Category
Government, inflation-linked
Focus
Investment grade
Niche
Broad maturities
Strategy
Vanilla
Geography
U.S.
Weighting scheme
Market value
Selection criteria
Market value

TIP1D analysis


What's in the fund
Exposure type
Bonds, Cash & Other
Government
Stock breakdown by region
100%

TIP1D news



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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