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EJAP
BNP PARIBAS EASY MSCI JAPAN ESG FILTERED MIN TE
EJAP
Euronext
EJAP
Euronext
EJAP
Euronext
EJAP
Euronext
Market closed
Market closed
No trades
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Overview
Analysis
Discussions
Technicals
Seasonals
EJAP
chart
Price
NAV
More
Full chart
1 day
0.22%
5 days
0.26%
1 month
2.53%
6 months
4.89%
Year to date
14.33%
1 year
17.77%
5 years
35.87%
All time
81.67%
Key stats
Assets under management (AUM)
1.15 B
EUR
Fund flows (1Y)
43.91 M
EUR
Dividend yield (indicated)
—
Discount/Premium to NAV
0.7%
About BNP PARIBAS EASY MSCI JAPAN ESG FILTERED MIN TE
Issuer
BNP Paribas SA
Brand
BNP Paribas
Expense ratio
0.15%
Home page
bnpparibas-am.com
Inception date
Feb 26, 2016
Index tracked
MSCI Japan ESG Filtered Min TE Index
Management style
Passive
ISIN
LU1291102447
Replicate the performance of the MSCI Japan ESG Filtered Min TE (NTR)* index (Bloomberg: MXJPEFMT Index), including fluctuations, and to maintain the Tracking Err between the sub-fund and the index below 1%.
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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
EJAP
analysis
What's in the fund
Exposure type
Stocks
Bonds, Cash & Other
Finance
Producer Manufacturing
Consumer Durables
Electronic Technology
Stock breakdown by region
100%
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.