AXA IM World Access Vehicle ICAV - ACT US ACT US Short Dur Hi Yld Lw Carb F Distribution USD

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Performance History31/12/2023
Growth of 1,000 (GBP) Advanced Graph
AXA IM World Access Vehicle ICAV - ACT US ACT US Short Dur Hi Yld Lw Carb F Distribution USD
Fund-3.1
+/-Cat--
+/-B’mrk--
 
Key Stats
NAV
16/01/2024
 USD 99.27
Day Change 0.47%
Morningstar Category™ USD High Yield Bond
ISIN IE00BDBVWV76
Fund Size (Mil)
25/04/2024
 USD 153.16
Share Class Size (Mil)
16/01/2024
 USD 0.06
Max Initial Charge 2.00%
Ongoing Charge
17/02/2023
  0.68%
Investment Objective: AXA IM World Access Vehicle ICAV - ACT US ACT US Short Dur Hi Yld Lw Carb F Distribution USD
The Fund's objective is to seek high income by investing in US high yield debt securities whose carbon footprint is at least 30% lower than that of the ICE BofA US High Yield Index (Benchmark). As a secondary extra-financial objective, the water intensity of the portfolio aims at being at least 30% lower than the Benchmark.
Returns
Trailing Returns (GBP)16/01/2024
YTD0.62
3 Years Annualised-
5 Years Annualised-
10 Years Annualised-
12 Month Yield 4.64
Dividend Paying Frequency Annually
Management
Manager Name
Start Date
Peter Vecchio
25/02/2022
Vernard Bond
25/02/2022
Inception Date
26/09/2016
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Category Benchmark
Fund BenchmarkMorningstar Benchmark
ICE BofA US High Yield Master II TR EURMorningstar US HY Bd TR USD
Target Market
Role In Portfolio
Standalone / CoreNot Specific
ComponentNot Specific
OtherNot Specific
Primary Objective
PreservationNot Specific
GrowthYes
IncomeYes
HedgingNot Specific
OtherNot Specific
Portfolio Profile for  AXA IM World Access Vehicle ICAV - ACT US ACT US Short Dur Hi Yld Lw Carb F Distribution USD29/02/2024
Fixed Income
Effective Maturity-
Effective Duration-
Morningstar Style Box®
Fixed Income Style
Asset Allocation
  % Long% Short% Net Assets
Stock0.000.000.00
Bond96.590.0096.59
Property0.000.000.00
Cash74.7271.313.41
Other0.000.000.00
In order to provide consistency across the report data provided by different Asset Managers, the calculated data points presented are generated using Morningstar’s proprietary calculation methodology which is set out in more detail at(https://www.morningstar.com/research/signature)
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