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Deka Deutsche Boerse EUROGOV Germany 3-5 UCITS ETFDeka Deutsche Boerse EUROGOV Germany 3-5 UCITS ETFDeka Deutsche Boerse EUROGOV Germany 3-5 UCITS ETF

Deka Deutsche Boerse EUROGOV Germany 3-5 UCITS ETF

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Overview
Analysis Discussions Technicals Seasonals

EL4T chart


Full chart

Key stats


Assets under management (AUM)
‪67.41 M‬ EUR
Fund flows (1Y)
‪−4.09 M‬ EUR
Dividend yield (indicated)
1.47%
Discount/Premium to NAV
−0.05%
Shares outstanding
‪757.91 K‬
Expense ratio
0.15%

About Deka Deutsche Boerse EUROGOV Germany 3-5 UCITS ETF


Issuer
Deutscher Sparkassen-und Giroverband eV
Brand
Deka
Home page
deka-etf.de
Inception date
Mar 16, 2009
Structure
German Index Fund
Index tracked
Deutsche Brse EUROGOV Germany 3-5 Index - EUR
Replication method
Physical
Management style
Passive
ISIN
DE000ETFL193
The Deka Deutsche Brse EUROGOV Germany 3-5 UCITS ETF is a UCITS IV compliant mutual fund that tracks the performance of the Deutsche Brse EUROGOV Germany 3-5 index for German government bonds.

Classification


Asset Class
Fixed income
Category
Government, treasury
Focus
Investment grade
Niche
Intermediate
Strategy
Vanilla
Geography
Germany
Weighting scheme
Market value
Selection criteria
Market value

EL4T analysis


What's in the fund
Exposure type
Bonds, Cash & Other
Government
Bonds, Cash & Other100.00%
Government99.54%
Cash0.46%

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.