Invesco DB USD Index Bearish ETFInvesco DB USD Index Bearish ETFInvesco DB USD Index Bearish ETF

Invesco DB USD Index Bearish ETF

No trades
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Key stats


Assets under management (AUM)
‪55.80 M‬USD
Fund flows (1Y)
‪−3.68 M‬USD
Dividend yield (indicated)
5.39%
Discount/Premium to NAV
0.7%

About Invesco DB USD Index Bearish ETF


Issuer
Invesco Ltd.
Brand
Invesco DB
Expense ratio
0.78%
Home page
Inception date
Feb 20, 2007
Index tracked
Deutsche Bank Short USD Currency Portfolio Index
Management style
Passive
UDN is more of a bet against the dollar than a bet on any particular currency. It shorts USDX contracts, which means that it's shorting the US dollar and long six G10 currencies: the euro, Japanese yen, British pound, Swedish krona, Canadian dollar and Swiss franc. The USDX uses a fixed weighting scheme based on exchange rates in 1973 that heavily weights the euro. As a result, expect to see big moves in the fund in response to euro movements. Structured as a commodities pool, UDN distributes K-1s and is marked-to-market at year-end.

Classification


Asset Class
Currency
Category
Basket
Focus
Long G10 basket, short USD
Niche
Derivative
Strategy
Multi-factor
Weighting scheme
Multi-factor
Selection criteria
Fixed
What's in the fund
Exposure type
Bonds, Cash & Other
Mutual fund
Government
Bonds, Cash & Other100.00%
Mutual fund64.78%
Government35.22%
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
Displays a symbol's price movements over previous years to identify recurring trends.