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ETF market
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279530
KODEX HIGH DIVIDEND
279530
Korea Stock Exchange
279530
Korea Stock Exchange
279530
Korea Stock Exchange
279530
Korea Stock Exchange
Market closed
Market closed
No trades
See on Supercharts
Overview
Analysis
Discussions
Technicals
Seasonals
279530
chart
Price
NAV
More
Full chart
1 day
−0.34%
5 days
0.00%
1 month
0.68%
6 months
1.17%
Year to date
11.67%
1 year
16.36%
5 years
25.73%
All time
3.95%
Key stats
Assets under management (AUM)
33.39 B
KRW
Fund flows (1Y)
−716.04 M
KRW
Dividend yield (indicated)
4.27%
Discount/Premium to NAV
−0.3%
About KODEX HIGH DIVIDEND
Issuer
Samsung Life Insurance Co., Ltd.
Brand
KODEX
Expense ratio
0.30%
Home page
eng.kodex.com
Inception date
Oct 17, 2017
Index tracked
FnGuide High Dividend Plus Index - KRW - Benchmark TR Gross
Management style
Passive
ISIN
KR7279530000
KODEX High Dividend ETF seeks to track the performance of the FnGuide High Dividend Plus Index by investing in KOSPI stocks.
Show more
Classification
Asset Class
Equity
Category
High dividend yield
Focus
High dividend yield
Niche
Broad-based
Strategy
Multi-factor
Weighting scheme
Dividends
Selection criteria
Multi-factor
279530
analysis
What's in the fund
Exposure type
Stocks
Bonds, Cash & Other
Finance
Consumer Non-Durables
Process Industries
Stock breakdown by region
100%
Technicals
Summarizing what the indicators are
suggesting.
Oscillators
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Oscillators
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Summary
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Summary
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Summary
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Moving Averages
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Moving Averages
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Seasonals
Displays a symbol's price movements over previous years to identify recurring trends.