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MULTI UNITS LUXEMBOURG LYXOR GLB INFLATION - MH GBPMULTI UNITS LUXEMBOURG LYXOR GLB INFLATION - MH GBPMULTI UNITS LUXEMBOURG LYXOR GLB INFLATION - MH GBP

MULTI UNITS LUXEMBOURG LYXOR GLB INFLATION - MH GBP

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Overview
Analysis Discussions Technicals Seasonals

GISG chart


Full chart

Key stats


Assets under management (AUM)
‪28.85 M‬ GBP
Fund flows (1Y)
‪4.13 M‬ GBP
Dividend yield (indicated)
0.67%
Discount/Premium to NAV
0.02%

About MULTI UNITS LUXEMBOURG LYXOR GLB INFLATION - MH GBP


Issuer
SAS Rue la Boétie
Brand
Amundi
Expense ratio
0.20%
Home page
amundietf.lu
Inception date
May 20, 2019
Index tracked
Bloomberg Barclays Global Inflation-Linked 1-10 Year Index
Management style
Passive
ISIN
LU1910940425
The investment objective of MULTI UNITS LUXEMBOURG - Amundi Global Government Inflation-Linked Bond 1-10Y is to reflect the performance of the Bloomberg Barclays Global Inflation-Linked 1-10 Year Index (the Benchmark Index) denominated in USD.

Classification


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

GISG analysis


What's in the fund
Exposure type
StocksBonds, Cash & Other
Government
Stocks0.28%
Government0.28%
Bonds, Cash & Other99.72%
Government99.72%

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.