MULTI UNITS LUXEMBOURG MUL LYXR IBOXX USD TRSURS 5 7Y DR UC ETFMULTI UNITS LUXEMBOURG MUL LYXR IBOXX USD TRSURS 5 7Y DR UC ETFMULTI UNITS LUXEMBOURG MUL LYXR IBOXX USD TRSURS 5 7Y DR UC ETF

MULTI UNITS LUXEMBOURG MUL LYXR IBOXX USD TRSURS 5 7Y DR UC ETF

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Key stats


Assets under management (AUM)
‪90.17 M‬USD
Fund flows (1Y)
‪12.08 M‬USD
Dividend yield (indicated)
2.53%
Discount/Premium to NAV
0.2%
Shares outstanding
‪853.47 K‬
Expense ratio
0.07%

About MULTI UNITS LUXEMBOURG MUL LYXR IBOXX USD TRSURS 5 7Y DR UC ETF


Issuer
SAS Rue la Boétie
Brand
Amundi
Inception date
Nov 10, 2010
Structure
Luxembourg SICAV
Index tracked
Bloomberg US Treasury (3-7 Y)
Replication method
Physical
Management style
Passive
ISIN
LU1407888996
The investment objective of the Fund is to reflect the performance of the Bloomberg U.S. Treasury 3-7 Year TR Index (hereinafter the Benchmark Index) denominated in USD and representative of United States Treasury bonds with remaining maturities between 3 and up to (but not including) 7 years.

Classification


Asset Class
Fixed income
Category
Government, treasury
Focus
Investment grade
Niche
Intermediate
Strategy
Vanilla
Geography
U.S.
Weighting scheme
Market value
Selection criteria
Market value
What's in the fund
Exposure type
Bonds, Cash & Other
Government
Bonds, Cash & Other100.00%
Government100.00%
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
Displays a symbol's price movements over previous years to identify recurring trends.