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IQQ7
iShares US Property Yield UCITS ETF
IQQ7
Deutsche Borse Xetra
IQQ7
Deutsche Borse Xetra
IQQ7
Deutsche Borse Xetra
IQQ7
Deutsche Borse Xetra
Market closed
Market closed
No trades
See on Supercharts
Overview
Analysis
News
Discussions
Technicals
Seasonals
IQQ7
chart
Price
NAV
More
Full chart
1 day
0.79%
5 days
−2.81%
1 month
−3.87%
6 months
11.19%
Year to date
9.31%
1 year
10.83%
5 years
4.37%
All time
31.23%
Key stats
Assets under management (AUM)
637.51 M
EUR
Fund flows (1Y)
118.91 M
EUR
Dividend yield (indicated)
3.07%
Discount/Premium to NAV
2.1%
About iShares US Property Yield UCITS ETF
Issuer
Blackrock Finance, Inc.
Brand
iShares
Expense ratio
0.40%
Home page
ishares.com
Inception date
Nov 3, 2006
Index tracked
FTSE EPRA Nareit US Dividend+
Management style
Passive
ISIN
IE00B1FZSF77
The investment objective of this Fund is to provide investors with a total return, taking into account both capital and income returns, which reflects the return of the FTSE EPRA/Nareit United States Dividend + Index.
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Classification
Asset Class
Equity
Category
Sector
Focus
Real estate
Niche
Broad-based
Strategy
Vanilla
Weighting scheme
Market cap
Selection criteria
Market cap
IQQ7
analysis
What's in the fund
Exposure type
Stocks
Bonds, Cash & Other
Finance
Stock breakdown by region
97%
1%
0.8%
IQQ7
news
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.