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TIGER REITS REAL ESTATE INFRATIGER REITS REAL ESTATE INFRATIGER REITS REAL ESTATE INFRA

TIGER REITS REAL ESTATE INFRA

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Overview
Analysis Holdings Discussions Technicals Seasonals

329200 chart


Full chart

Key stats


Assets under management (AUM)
‪641.13 B‬ KRW
Fund flows (1Y)
‪236.15 B‬ KRW
Dividend yield (indicated)
9.24%
Discount/Premium to NAV
—
Shares outstanding
‪148.93 M‬
Expense ratio
0.29%

About TIGER REITS REAL ESTATE INFRA


Issuer
Mirae Asset Global Investments Co., Ltd.
Brand
Tiger ETF
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
Replication method
Physical
Management style
Passive
Dividend treatment
Distributes
Income tax type
Capital Gains
Primary advisor
Mirae Asset Global Investments Co., Ltd.
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.

Classification


Asset Class
Equity
Category
Sector
Focus
Real estate
Niche
Broad-based
Strategy
Multi-factor
Geography
South Korea
Weighting scheme
Tiered
Selection criteria
Multi-factor

329200 analysis


What's in the fund
Exposure type
StocksBonds, Cash & Other
Finance
Mutual fund
Stock breakdown by region
100%
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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