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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

TAHY chart


Full chart

Key stats


Assets under management (AUM)
‪59.20 M‬ USD
Fund flows (1Y)
‪−1.55 M‬ USD
Dividend yield (indicated)
—
Discount/Premium to NAV
−1.2%
Shares outstanding
‪8.07 M‬
Expense ratio
0.60%

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
Sep 2, 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
ISIN
IE000LZC9NM0
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

TAHY analysis


What's in the fund
Exposure type
StocksBonds, Cash & Other
Corporate
Stocks7.94%
Finance7.75%
Bonds, Cash & Other92.06%
Corporate94.46%
Cash−2.40%

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.