SELECT SECTOR SPDR TRUSTSELECT SECTOR SPDR TRUSTSELECT SECTOR SPDR TRUST

SELECT SECTOR SPDR TRUST

No trades
See on Supercharts

Key stats


Assets under management (AUM)
‪16.27 B‬USD
Fund flows (1Y)
‪−1.48 B‬USD
Dividend yield (indicated)
2.58%
Discount/Premium to NAV
1.0%

About SELECT SECTOR SPDR TRUST


Issuer
State Street Corp.
Brand
SPDR
Expense ratio
0.09%
Inception date
Dec 16, 1998
Index tracked
Consumer Staples Select Sector
Management style
Passive
XLP delivers a representative if slightly conservative basket of consumer-staples firms. Because XLP pulls its stocks from the S&P 500 rather than the broad market, it holds far fewer names than our benchmark, producing somewhat-concentrated exposure. The fund's holdings are nearly all large-caps, which investors may appreciate for their familiarity and stability. XLP seeks to provide exposure to stocks in the following industries: food and staples retailing, beverage, food products, tobacco, household and personal products. The index is reconstituted and rebalanced on a quarterly basis.

Classification


Asset Class
Equity
Category
Sector
Focus
Consumer staples
Niche
Broad-based
Strategy
Vanilla
Weighting scheme
Market cap
Selection criteria
Committee
What's in the fund
Exposure type
StocksBonds, Cash & Other
Consumer Non-Durables
Retail Trade
Stock breakdown by region
100%

See all ideas 

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.