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CBUS
UBS BL US LIQ CORP UCITS ETF
CBUS
Euronext Milan
CBUS
Euronext Milan
CBUS
Euronext Milan
CBUS
Euronext Milan
Market closed
Market closed
No trades
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Overview
Analysis
Discussions
Technicals
Seasonals
CBUS
chart
Price
NAV
More
Full chart
1 day
0.24%
5 days
1.09%
1 month
2.73%
6 months
4.55%
Year to date
2.73%
1 year
6.92%
5 years
−11.12%
All time
−1.19%
Key stats
Assets under management (AUM)
84.49 M
EUR
Fund flows (1Y)
26.95 M
EUR
Dividend yield (indicated)
4.62%
Discount/Premium to NAV
0.7%
About UBS BL US LIQ CORP UCITS ETF
Issuer
UBS Group AG
Brand
UBS
Expense ratio
0.13%
Home page
ubs.com
Inception date
May 30, 2014
Index tracked
Bloomberg US Liquid Corporates
Management style
Passive
ISIN
LU1048316647
The UBS ETF Bloomberg Barclays US Liquid Corporates UCITS ETF sub-fund aims to track, before expenses, the price and income performance of the Bloomberg Barclays US Liquid Corporates Index (Total Return) (this sub-fund's Index).
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Classification
Asset Class
Fixed income
Category
Corporate, broad-based
Focus
Investment grade
Niche
Broad maturities
Strategy
Vanilla
Weighting scheme
Market value
Selection criteria
Market value
CBUS
analysis
What's in the fund
Exposure type
Bonds, Cash & Other
Corporate
Bonds, Cash & Other
100.00%
Corporate
98.90%
Cash
0.87%
Miscellaneous
0.23%
Technicals
Summarizing what the indicators are
suggesting.
Oscillators
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Oscillators
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Summary
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Summary
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Summary
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Moving Averages
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Moving Averages
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Seasonals
Displays a symbol's price movements over previous years to identify recurring trends.