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329200
TIGER REITS REAL ESTATE INFRA
329200
Korea Stock Exchange
329200
Korea Stock Exchange
329200
Korea Stock Exchange
329200
Korea Stock Exchange
Market closed
Market closed
No trades
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Overview
Analysis
Discussions
Technicals
Seasonals
329200
chart
Price
NAV
More
Full chart
1 day
−0.72%
5 days
−2.72%
1 month
−3.97%
6 months
−10.55%
Year to date
−5.73%
1 year
−4.53%
5 years
−22.45%
All time
−18.77%
Key stats
Assets under management (AUM)
581.89 B
KRW
Fund flows (1Y)
294.81 B
KRW
Dividend yield (indicated)
2.88%
Discount/Premium to NAV
−0.7%
About TIGER REITS REAL ESTATE INFRA
Issuer
Mirae Asset Global Investments Co., Ltd.
Brand
Tiger ETF
Expense ratio
0.29%
Home page
tigeretf.com
Inception date
Jul 18, 2019
Index tracked
FnGuide REAL ESTATE INFRA HIGH DIVIDEND Index - KRW - South Korean Won - Benchmark TR Gross
Management style
Passive
ISIN
KR7329200000
TIGER Real Dividend ETF seeks to make the volatility of the NAV per share and that of the FnGuide Real Estate Infrastructure High Dividend Index.
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Classification
Asset Class
Equity
Category
Sector
Focus
Real estate
Niche
Broad-based
Strategy
Multi-factor
Weighting scheme
Tiered
Selection criteria
Multi-factor
329200
analysis
What's in the fund
Exposure type
Stocks
Bonds, Cash & Other
Finance
Mutual fund
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.