SPDR SSgA Income Allocation ETFSPDR SSgA Income Allocation ETFSPDR SSgA Income Allocation ETF

SPDR SSgA Income Allocation ETF

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Key stats


Assets under management (AUM)
‪75.51 M‬USD
Fund flows (1Y)
‪−2.47 M‬USD
Dividend yield (indicated)
4.36%
Discount/Premium to NAV
0.3%

About SPDR SSgA Income Allocation ETF


Issuer
State Street Corp.
Brand
SPDR
Expense ratio
0.50%
Home page
Inception date
Apr 25, 2012
Index tracked
No Underlying Index
Management style
Active
INKM offers diverse exposure to income-generating securities across asset classes and geographic boundaries. These include equities, investment-grade debt, junk bonds, preferreds, convertibles, REITs and TIPS. The actively-managed fund get this broad exposure using a proprietary quantitative models as well the fund advisers fundamental views on qualitative factors to allocate exposure to these asset classes via ETFs. As one might expect, State Street ETFs dominate the portfolio, but the giant issuer's roster is deep enough that this bias shouldn't be a fundamental detraction. Indeed, the fund's diverse holdings include locally denominated emerging-market debts, international-sector equities, and Treasury ETFs according to State Street.

Classification


Asset Class
Asset allocation
Category
Asset allocation
Focus
Target outcome
Niche
Income
Strategy
Active
Weighting scheme
Proprietary
Selection criteria
Proprietary
What's in the fund
Exposure type
Bonds, Cash & Other
ETF
Bonds, Cash & Other100.00%
ETF99.70%
Mutual fund0.30%
Summarizing what the indicators are suggesting.
Oscillators
Neutral
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Oscillators
Neutral
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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
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.