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TABULA ICAV HAITONG ASIA EX JPN HIGH YD CORP USD BDTABULA ICAV HAITONG ASIA EX JPN HIGH YD CORP USD BDTABULA ICAV HAITONG ASIA EX JPN HIGH YD CORP USD BD

TABULA ICAV HAITONG ASIA EX JPN HIGH YD CORP USD BD

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Overview
Analysis Discussions Technicals Seasonals

TAGH chart


Full chart

Key stats


Assets under management (AUM)
‪20.30 M‬ GBP
Fund flows (1Y)
‪18.30 M‬ GBP
Dividend yield (indicated)
—
Discount/Premium to NAV
−0.06%
Shares outstanding
‪1.99 M‬
Expense ratio
0.65%

About TABULA ICAV HAITONG ASIA EX JPN HIGH YD CORP USD BD


Issuer
Tabula Investment Management Ltd.
Brand
Tabula
Home page
tabulaim.com
Inception date
Apr 25, 2022
Structure
Irish VCIC
Index tracked
iBoxx MSCI ESG USD Asia ex-Japan High Yield Capped Index - Benchmark TR Net
Replication method
Physical
Management style
Passive
Primary advisor
KBA Consulting Management Ltd.
ISIN
IE000GETKIK8
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.

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

TAGH analysis


What's in the fund
Exposure type
Bonds, Cash & Other
Corporate
Stock breakdown by region
1%3%7%87%

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.