Multi Units Luxembourg Lyxor S&P 500 UCITS ETF Daily Hedged to GBP DistributionMulti Units Luxembourg Lyxor S&P 500 UCITS ETF Daily Hedged to GBP DistributionMulti Units Luxembourg Lyxor S&P 500 UCITS ETF Daily Hedged to GBP Distribution

Multi Units Luxembourg Lyxor S&P 500 UCITS ETF Daily Hedged to GBP Distribution

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Key stats


Assets under management (AUM)
‪169.61 M‬GBP
Fund flows (1Y)
‪62.88 M‬GBP
Dividend yield (indicated)
1.27%
Discount/Premium to NAV
−0.003%

About Multi Units Luxembourg Lyxor S&P 500 UCITS ETF Daily Hedged to GBP Distribution


Issuer
SAS Rue la Boétie
Brand
Amundi
Expense ratio
0.05%
Home page
Inception date
Feb 15, 2019
Index tracked
S&P 500
Management style
Passive
ISIN
LU1950341179
The investment objective of MULTI UNITS LUXEMBOURG - Lyxor S&P 500 UCITS ETF is to track both the upward and the downward evolution of the S&P 500 Net Total Return (the Index) denominated in US Dollars while minimising the volatility of the difference between the return of the Sub-Fund and the return of the Index.

Classification


Asset Class
Equity
Category
Size and style
Focus
Large cap
Niche
Broad-based
Strategy
Currency hedged, Vanilla
Weighting scheme
Market cap
Selection criteria
Committee
What's in the fund
Exposure type
Stocks
Technology Services
Electronic Technology
Finance
Stock breakdown by region
93%6%0%
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.