SPDR S&P China ETFSPDR S&P China ETFSPDR S&P China ETF

SPDR S&P China ETF

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Key stats


Assets under management (AUM)
‪435.25 M‬USD
Fund flows (1Y)
‪−400.33 M‬USD
Dividend yield (indicated)
2.97%
Discount/Premium to NAV
−1.5%

About SPDR S&P China ETF


Issuer
State Street Corp.
Brand
SPDR
Expense ratio
0.59%
Home page
Inception date
Mar 19, 2007
Index tracked
S&P China BMI
Management style
Passive
GXC tracks an index that attempts comprehensiveness with regards to investing in Chinese shares. The underlying index holds investable Chinese shares across all market-cap sizes. This includes major share classes like A, B, H, red chips, P chips, and foreign listings. The Index is also float-adjusted, meaning that only those shares publicly available to investors are included in the Index calculation. Weights are determined by float-adjusted market-cap, as well. Rebalancing is done annually in September with share changes and IPO updates in March, June, and December. Overall, GXC offers a broad exposure to the total Chinese market.

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
Technology Services
Retail Trade
Stock breakdown by region
7%92%

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.