SPDR S&P Transportation ETFSPDR S&P Transportation ETFSPDR S&P Transportation ETF

SPDR S&P Transportation ETF

No trades
See on Supercharts

Key stats


Assets under management (AUM)
‪263.74 M‬USD
Fund flows (1Y)
‪35.36 M‬USD
Dividend yield (indicated)
0.76%
Discount/Premium to NAV
1.07%

About SPDR S&P Transportation ETF


Issuer
State Street Corp.
Brand
SPDR
Expense ratio
0.35%
Home page
Inception date
Jan 26, 2011
Index tracked
S&P Transportation Select Industry
Management style
Passive
XTN offers a straightforward work-around for the transportation industry's high concentration by equal-weighting its holdings. That drastically cuts its weighted average market cap and introduces some sector biases. Eligible securities must be included in the S&P Total Market Index and must meet certain liquidity and capitalization thresholds. The Underlying Index includes the following sub-industries, as defined by GICS: air freight & logistics, airlines, airport services, highways & rail tracks, marine, marine ports & services, railroads, and trucking. The index undergoes quarterly rebalance.

Classification


Asset Class
Equity
Category
Sector
Focus
Industrials
Niche
Transportation
Strategy
Equal
Weighting scheme
Equal
Selection criteria
Market cap
What's in the fund
Exposure type
StocksBonds, Cash & Other
Transportation
Stock breakdown by region
100%
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.