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TAEH
TABULA ASIA EXJP HY USD ESG UCITS ETF HD
TAEH
Euronext Milan
TAEH
Euronext Milan
TAEH
Euronext Milan
TAEH
Euronext Milan
Market closed
Market closed
No trades
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Overview
Analysis
Discussions
Technicals
Seasonals
TAEH
chart
Price
NAV
More
Full chart
1 day
0.07%
5 days
−0.41%
1 month
3.68%
6 months
−0.24%
Year to date
1.37%
1 year
1.33%
5 years
−37.33%
All time
−37.33%
Key stats
Assets under management (AUM)
22.26 M
EUR
Fund flows (1Y)
2.89 M
EUR
Dividend yield (indicated)
10.58%
Discount/Premium to NAV
0.1%
Shares outstanding
3.81 M
Expense ratio
0.65%
About TABULA ASIA EXJP HY USD ESG UCITS ETF HD
Issuer
Tabula Investment Management Ltd.
Brand
Tabula
Home page
tabulaim.com
Inception date
Nov 17, 2021
Structure
Irish VCIC
Index tracked
iBoxx MSCI ESG USD Asia ex-Japan High Yield Capped Index - Benchmark TR Gross
Replication method
Physical
Management style
Passive
Primary advisor
KBA Consulting Management Ltd.
ISIN
IE000DOZYQJ7
The Sub-Fund is passive and has the objective to track the performance of the iBoxx MSCI ESG USD Asia ex-Japan High Yield Capped Index.
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Classification
Asset Class
Fixed income
Category
Corporate, broad-based
Focus
High yield
Niche
Broad maturities
Strategy
ESG
Geography
Asia-Pacific Ex-Japan
Weighting scheme
Principles-based
Selection criteria
Principles-based
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.