SPDR S&P Emerging Markets ex-China ETFSPDR S&P Emerging Markets ex-China ETFSPDR S&P Emerging Markets ex-China ETF

SPDR S&P Emerging Markets ex-China ETF

No trades
See on Supercharts

Key stats


Assets under management (AUM)
‪4.87 M‬USD
Fund flows (1Y)
Dividend yield (indicated)
Discount/Premium to NAV
−0.07%

About SPDR S&P Emerging Markets ex-China ETF


Issuer
State Street Corp.
Brand
SPDR
Expense ratio
0.15%
Home page
Inception date
Sep 4, 2024
Index tracked
S&P Emerging ex China BMI Index
Management style
Passive
XCNY is a passively managed fund that invests in securities of companies within emerging markets, excluding China. The portfolio may include equities of any market capitalization. Stock selection and weighting are based on float-adjusted market capitalization. The fund uses a sampling method to provide exposure, meaning it may not hold every stock in the index but instead holds a representative of securities that collectively mirror the investment profile of the underlying index. The index is reconstituted annually in September.

Classification


Asset Class
Equity
Category
Size and style
Focus
Total market
Niche
Broad-based
Strategy
Vanilla
Weighting scheme
Market cap
Selection criteria
Market cap
What's in the fund
Exposure type
StocksBonds, Cash & Other
Finance
Electronic Technology
Stock breakdown by region
0%6%4%3%4%10%70%
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.