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KODEX KR CH NEW ENERGY VEHICLES(SYNTH)KODEX KR CH NEW ENERGY VEHICLES(SYNTH)KODEX KR CH NEW ENERGY VEHICLES(SYNTH)

KODEX KR CH NEW ENERGY VEHICLES(SYNTH)

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Overview
Analysis Holdings Discussions Technicals Seasonals

450180 chart


Full chart

Key stats


Assets under management (AUM)
‪5.06 B‬ KRW
Fund flows (1Y)
‪−427.17 M‬ KRW
Dividend yield (indicated)
—
Discount/Premium to NAV
3.7%
Shares outstanding
‪650.00 K‬
Expense ratio
0.31%

About KODEX KR CH NEW ENERGY VEHICLES(SYNTH)


Issuer
SAMSUNG LIFE INSURANCE
Brand
KODEX
Home page
m.eng.kodex.com
Inception date
Dec 22, 2022
Index tracked
No Underlying Index
Replication method
Physical
Management style
Passive
Dividend treatment
Capitalizes
Primary advisor
Samsung Asset Management Co., Ltd.
ISIN
KR7450180005
KODEX Korea China New Energy Vehicles(SYNTH) seeks to track the daily performance of the KRX CSI Korea China New Energy Vehicles Index(KRW) by mainly investing in OTC derivative products as its major investment asset.

Classification


Asset Class
Equity
Category
Sector
Focus
Theme
Niche
Mobility
Strategy
Vanilla
Geography
Emerging Asia-Pacific
Weighting scheme
Market cap
Selection criteria
Market cap

450180 analysis


What's in the fund
Exposure type
Bonds, Cash & Other
Cash
Miscellaneous
Bonds, Cash & Other100.00%
Cash50.07%
Miscellaneous49.93%
Top 10 holdings

Technicals


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

Seasonals


Displays a symbol's price movements over previous years to identify recurring trends.

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