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EEMU
BNP PARIBAS EASY MSCI EMU ESG FILTERED MIN TE
EEMU
Euronext
EEMU
Euronext
EEMU
Euronext
EEMU
Euronext
Market closed
Market closed
No trades
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Overview
Analysis
Discussions
Technicals
Seasonals
EEMU
chart
Price
NAV
More
Full chart
1 day
−0.38%
5 days
−1.81%
1 month
1.69%
6 months
−0.70%
Year to date
8.20%
1 year
9.31%
5 years
37.64%
All time
83.56%
Key stats
Assets under management (AUM)
511.46 M
EUR
Fund flows (1Y)
268.42 M
EUR
Dividend yield (indicated)
—
Discount/Premium to NAV
0.1%
About BNP PARIBAS EASY MSCI EMU ESG FILTERED MIN TE
Issuer
BNP Paribas SA
Brand
BNP Paribas
Expense ratio
0.15%
Home page
bnpparibas-ip.lu
Inception date
Feb 12, 2016
Index tracked
MSCI EMU ex Controversial Weapons Index - EUR
Management style
Passive
ISIN
LU1291098827
The Fund seeks to replicate (with a maximum tracking err of 1%) the performance of the MSCI EMU ex Controversial Weapons (NTR) Index (the Index) by investing in the shares issued by companies included in the Index.
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Classification
Asset Class
Equity
Category
Size and style
Focus
Total market
Niche
Broad-based
Strategy
ESG
Weighting scheme
Market cap
Selection criteria
Principles-based
EEMU
analysis
What's in the fund
Exposure type
Stocks
Bonds, Cash & Other
Finance
Consumer Non-Durables
Electronic Technology
Stock breakdown by region
1%
98%
Technicals
Summarizing what the indicators are
suggesting.
Oscillators
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Oscillators
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Summary
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Summary
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Summary
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Moving Averages
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Moving Averages
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Seasonals
Displays a symbol's price movements over previous years to identify recurring trends.