WisdomTree China ex-State-Owned Enterprises FundWisdomTree China ex-State-Owned Enterprises FundWisdomTree China ex-State-Owned Enterprises Fund

WisdomTree China ex-State-Owned Enterprises Fund

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Key stats


Assets under management (AUM)
‪440.40 M‬USD
Fund flows (1Y)
‪−175.46 M‬USD
Dividend yield (indicated)
1.70%
Discount/Premium to NAV
−0.9%

About WisdomTree China ex-State-Owned Enterprises Fund


Issuer
WisdomTree, Inc.
Brand
WisdomTree
Expense ratio
0.32%
Inception date
Sep 19, 2012
Index tracked
WisdomTree China ex-State-Owned Enterprises Index
Management style
Passive
CXSE aims to provide broad Chinese equity exposure while excluding state-owned enterprises (SOEs). The underlying investment thesis is that private corporations are run more efficiently and act in the best interests of shareholders rather than the state. CXSEs approach to the Chinese market effectively limits its exposure to large industrials, and focuses instead on technology and consumer firms. A-shares are included, but are capped at 5% of the portfolio. Most of the fund is invested in in H-shares, N-shares, and P-chips, as well as ADRs and direct US listings. Note: CXSE changed its index, ticker, and expense ratio in July 2015. Its old ticker, CHXF, tracked an index of Chinese ex-financial companies with a dividend focus. The fund added A-share exposure in August 2017.

Classification


Asset Class
Equity
Category
Size and style
Focus
Total market
Niche
Broad-based
Strategy
ESG
Weighting scheme
Market cap
Selection criteria
Principles-based
What's in the fund
Exposure type
StocksBonds, Cash & Other
Technology Services
Retail Trade
Producer Manufacturing
Stock breakdown by region
4%95%
Summarizing what the indicators are suggesting.
Oscillators
Neutral
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Oscillators
Neutral
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Neutral
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Neutral
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Summary
Neutral
SellBuy
Strong sellStrong buy
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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.