Multi Units Luxembourg Lyxor SG Global Quality Income NTR UCITS ETF Monthly Hedged to GBP CapitalisationFundMulti Units Luxembourg Lyxor SG Global Quality Income NTR UCITS ETF Monthly Hedged to GBP CapitalisationFundMulti Units Luxembourg Lyxor SG Global Quality Income NTR UCITS ETF Monthly Hedged to GBP CapitalisationFund

Multi Units Luxembourg Lyxor SG Global Quality Income NTR UCITS ETF Monthly Hedged to GBP CapitalisationFund

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Key stats


Assets under management (AUM)
‪228.02 M‬GBP
Fund flows (1Y)
‪67.03 M‬GBP
Dividend yield (indicated)
Discount/Premium to NAV
0.003%

About Multi Units Luxembourg Lyxor SG Global Quality Income NTR UCITS ETF Monthly Hedged to GBP CapitalisationFund


Issuer
SAS Rue la Boétie
Brand
Amundi
Expense ratio
0.45%
Inception date
Aug 8, 2014
Index tracked
SG Global Quality Income Net Total Return Index - EUR
Management style
Passive
ISIN
LU1040688639
The Fund is an index-tracking UCITS passively managed. The investment objective of the Fund is to track both the upward and downward unlevered performance of the SG Global Quality Income NTR Index (the Benchmark Index)

Classification


Asset Class
Equity
Category
Size and style
Focus
Total market
Niche
Broad-based
Strategy
Fundamental
Weighting scheme
Equal
Selection criteria
Fundamental
What's in the fund
Exposure type
Stocks
Consumer Non-Durables
Finance
Stock breakdown by region
73%26%
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.