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AMUNDI EURO INFLATION EXPECTATIONS 2-10Y UCITS ETF ACCAMUNDI EURO INFLATION EXPECTATIONS 2-10Y UCITS ETF ACCAMUNDI EURO INFLATION EXPECTATIONS 2-10Y UCITS ETF ACC

AMUNDI EURO INFLATION EXPECTATIONS 2-10Y UCITS ETF ACC

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Overview
Analysis Discussions Technicals Seasonals

INFL chart


Full chart

Key stats


Assets under management (AUM)
‪212.91 M‬ EUR
Fund flows (1Y)
‪−250.09 M‬ EUR
Dividend yield (indicated)
—
Discount/Premium to NAV
−0.1%

About AMUNDI EURO INFLATION EXPECTATIONS 2-10Y UCITS ETF ACC


Issuer
SAS Rue la Boétie
Brand
Amundi
Expense ratio
0.25%
Home page
amundietf.co.uk
Inception date
Apr 13, 2016
Index tracked
Markit iBoxx EUR Breakeven Euro-Inflation France & Germany Net Total Return Index - EUR
Management style
Passive
ISIN
LU1390062245
The investment objective of MULTI UNITS LUXEMBOURG - Amundi Euro Inflation Expectations 2-10Y is to reflect the performance of the Markit iBoxx EUR Breakeven EuroInflation France & Germany Index (the Benchmark Index) denominated in Euros.

Classification


Asset Class
Fixed income
Category
Government, inflation-linked
Focus
Investment grade
Niche
Intermediate
Strategy
Vanilla
Weighting scheme
Market value
Selection criteria
Market value

INFL analysis


What's in the fund
Exposure type
Bonds, Cash & Other
Corporate
Government
Bonds, Cash & Other100.00%
Corporate63.49%
Government36.51%

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.