SPDR Bloomberg 1-3 Month T-Bill ETFSPDR Bloomberg 1-3 Month T-Bill ETFSPDR Bloomberg 1-3 Month T-Bill ETF

SPDR Bloomberg 1-3 Month T-Bill ETF

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Key stats


Assets under management (AUM)
‪35.54 B‬USD
Fund flows (1Y)
‪2.00 B‬USD
Dividend yield (indicated)
5.03%
Discount/Premium to NAV
−0.004%

About SPDR Bloomberg 1-3 Month T-Bill ETF


Issuer
State Street Corp.
Brand
SPDR
Expense ratio
0.14%
Home page
Inception date
May 25, 2007
Index tracked
Bloomberg US Treasury - Bills (1-3 M)
Management style
Passive
BIL`s take on ultra-short-term Treasurys is entirely valid even if it doesn`t conform to our view of the space. The fund invests in Treasury bills with three months or less to maturity, in contrast with our benchmark that covers Treasurys with 1-12 months remaining to maturity. As such, BIL takes on less interest rate risk and offers lower yields. Safety has a price: In a low-interest rate environment, costs for this cashlike vehicle may exceed the yield. Retail investors should carefully consider all options available in this space.

Classification


Asset Class
Fixed income
Category
Government, treasury
Focus
Investment grade
Niche
Ultra-short term
Strategy
Vanilla
Weighting scheme
Market value
Selection criteria
Market value
What's in the fund
Exposure type
Bonds, Cash & Other
Government
Bonds, Cash & Other100.00%
Government99.58%
Mutual fund0.42%
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.