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EEDV
SSGA SPDR ETFS EUROPE I PLC S&P EURO DIVIDEND ARISTOCRATS ESG UCITS
EEDV
Euronext
EEDV
Euronext
EEDV
Euronext
EEDV
Euronext
Market closed
Market closed
No trades
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Overview
Analysis
Discussions
Technicals
Seasonals
EEDV
chart
Price
NAV
More
Full chart
1 day
−0.43%
5 days
−1.73%
1 month
−4.51%
6 months
−3.65%
Year to date
3.74%
1 year
12.11%
5 years
1.82%
All time
1.82%
Key stats
Assets under management (AUM)
6.37 M
EUR
Fund flows (1Y)
—
Dividend yield (indicated)
3.02%
Discount/Premium to NAV
−0.3%
About SSGA SPDR ETFS EUROPE I PLC S&P EURO DIVIDEND ARISTOCRATS ESG UCITS
Issuer
State Street Corp.
Brand
SPDR
Expense ratio
0.30%
Home page
ssga.com
Inception date
Jun 7, 2021
Index tracked
S&P Euro High Yield Dividend Aristocrats Index - EUR
Management style
Passive
ISIN
IE00BYTH5T38
The objective of the Fund is to track the performance of certain high dividend-yielding equity securities issued by companies from within the Eurozone.
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Classification
Asset Class
Equity
Category
High dividend yield
Focus
High dividend yield
Niche
Broad-based
Strategy
Dividends
Weighting scheme
Dividends
Selection criteria
Dividends
EEDV
analysis
What's in the fund
Exposure type
Stocks
Bonds, Cash & Other
Finance
Process Industries
Utilities
Health Technology
Producer Manufacturing
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.