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SPDR S&P Euro Dividend Aristocrats UCITS ETFSPDR S&P Euro Dividend Aristocrats UCITS ETFSPDR S&P Euro Dividend Aristocrats UCITS ETF

SPDR S&P Euro Dividend Aristocrats UCITS ETF

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Overview
Analysis Holdings Discussions Technicals Seasonals

SPYW chart


Full chart

Key stats


Assets under management (AUM)
‪1.04 B‬ EUR
Fund flows (1Y)
‪35.94 M‬ EUR
Dividend yield (indicated)
3.88%
Discount/Premium to NAV
0.1%
Shares outstanding
‪40.80 M‬
Expense ratio
0.30%

About SPDR S&P Euro Dividend Aristocrats UCITS ETF


Issuer
State Street Corporation
Brand
SPDR
Home page
ssga.com
Inception date
Feb 28, 2012
Structure
Irish VCIC
Index tracked
S&P Euro High Yield Dividend Aristocrats Index - EUR
Replication method
Physical
Management style
Passive
Dividend treatment
Distributes
Primary advisor
State Street Global Advisors Ltd.
ISIN
IE00B5M1WJ87
: The objective of the Fund is to track the performance of certain high dividend-yielding equity securities issued by companies from within the Eurozone.

Classification


Asset Class
Equity
Category
High dividend yield
Focus
High dividend yield
Niche
Broad-based
Strategy
Dividends
Geography
Developed Europe
Weighting scheme
Dividends
Selection criteria
Dividends

SPYW analysis


What's in the fund
Exposure type
StocksBonds, Cash & Other
Finance
Utilities
Stock breakdown by region
100%

Technicals


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

Seasonals


Displays a symbol's price movements over previous years to identify recurring trends.

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