Invesco DB Agriculture FundInvesco DB Agriculture FundInvesco DB Agriculture Fund

Invesco DB Agriculture Fund

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Key stats


Assets under management (AUM)
‪752.34 M‬USD
Fund flows (1Y)
‪−188.13 M‬USD
Dividend yield (indicated)
3.77%
Discount/Premium to NAV
−1.1%

About Invesco DB Agriculture Fund


Issuer
Invesco Ltd.
Brand
Invesco DB
Expense ratio
0.93%
Home page
Inception date
Jan 5, 2007
Index tracked
DBIQ Diversified Agriculture Index TR
Management style
Passive
DBA's broadens its holdings to include livestock in its universe in exchange for under-weighting heavily produced commodities like corn and wheat, and chooses the contracts it holds based on the shape of the futures curve (in order to dampen contango effects). Specifically, the underlying index includes corn, soybeans, wheat, Kansas City wheat, sugar, cocoa, coffee, cotton, live cattle, feeder cattle, and lean hogs. Investors will therefore get less sensitivity to short-term spot movements, as well as exposure to different risk factors. The fund's structure as a commodities pool means that holders will receive a K-1. The fund and the underlying index undergoes annual rebalance and reconstitution each November.

Classification


Asset Class
Commodities
Category
Agriculture
Focus
Broad market
Niche
Optimized
Strategy
Optimized commodity
Weighting scheme
Fixed
Selection criteria
Fixed
What's in the fund
Exposure type
Bonds, Cash & Other
Mutual fund
Government
ETF
Bonds, Cash & Other100.00%
Mutual fund44.32%
Government39.76%
ETF15.92%

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Summarizing what the indicators are suggesting.
Oscillators
Neutral
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Oscillators
Neutral
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Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Summary
Neutral
SellBuy
Strong sellStrong buy
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Summary
Neutral
SellBuy
Strong sellStrong buy
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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.