AMUNDI INDEX SOLUTIONS MSCI EUROPE MINI VOLATILITY FACTOR UCITSAMUNDI INDEX SOLUTIONS MSCI EUROPE MINI VOLATILITY FACTOR UCITSAMUNDI INDEX SOLUTIONS MSCI EUROPE MINI VOLATILITY FACTOR UCITS

AMUNDI INDEX SOLUTIONS MSCI EUROPE MINI VOLATILITY FACTOR UCITS

No trades
See on Supercharts

Key stats


Assets under management (AUM)
‪123.37 M‬GBP
Fund flows (1Y)
‪−470.71 M‬GBP
Dividend yield (indicated)
Discount/Premium to NAV
0.5%
Shares outstanding
‪844.04 K‬
Expense ratio
0.23%

About AMUNDI INDEX SOLUTIONS MSCI EUROPE MINI VOLATILITY FACTOR UCITS


Issuer
SAS Rue la Boétie
Brand
Amundi
Home page
Inception date
Apr 18, 2018
Structure
Luxembourg SICAV
Index tracked
MSCI Europe Minimum Volatility (EUR)
Replication method
Synthetic
Management style
Passive
Primary advisor
Amundi Luxembourg SA
ISIN
LU1681041627
To track the performance of MSCI Europe Minimum Volatility Index (the Index), and to minimize the tracking err between the net asset value of the sub-fund and the performance of the Index.

Classification


Asset Class
Equity
Category
Size and style
Focus
Total market
Niche
Broad-based
Strategy
Multi-factor
Geography
Developed Europe
Weighting scheme
Market cap
Selection criteria
Multi-factor
What's in the fund
Exposure type
StocksBonds, Cash & Other
Electronic Technology
Technology Services
Finance
Health Technology
Stock breakdown by region
82%17%
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.