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UBSETF BBG TIPS 10+ HGBP DISUBSETF BBG TIPS 10+ HGBP DISUBSETF BBG TIPS 10+ HGBP DIS

UBSETF BBG TIPS 10+ HGBP DIS

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Overview
Analysis Discussions Technicals Seasonals

TIP10G.GBP chart


Full chart

Key stats


Assets under management (AUM)
‪85.08 M‬ GBP
Fund flows (1Y)
‪4.41 M‬ GBP
Dividend yield (indicated)
6.18%
Discount/Premium to NAV
−0.5%
Shares outstanding
‪9.45 M‬
Expense ratio
0.13%

About UBSETF BBG TIPS 10+ HGBP DIS


Issuer
UBS Group AG
Brand
UBS
Home page
ubs.com
Inception date
Jan 31, 2019
Structure
Luxembourg SICAV
Index tracked
Bloomberg Barclays US Treasury Inflation Notes 10+ Year Hedged to GBP Index - GBP
Replication method
Physical
Management style
Passive
Primary advisor
UBS Asset Management (Europe) SA
ISIN
LU1459803133
The UBS ETF Bloomberg Barclays TIPS 10+ UCITS ETF sub-fund aims to track, before expenses, the price and income performance of the Bloomberg Barclays US Government 10+ Year Inflation-Linked Bond Index (Total Return)

Classification


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

TIP10G.GBP analysis


What's in the fund
Exposure type
Bonds, Cash & Other
Government
Bonds, Cash & Other100.00%
Government97.06%
Cash2.94%

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.