UBS (Lux) Bond SICAV - Asian High Yield (USD) (EUR hedged) Q-dist

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Performance History31/03/2024
Growth of 1,000 (GBP) Advanced Graph
UBS (Lux) Bond SICAV - Asian High Yield (USD) (EUR hedged) Q-dist
Fund---22.7-4.55.5
+/-Cat-----
+/-B’mrk-----
 
Key Stats
NAV
26/04/2024
 EUR 53.26
Day Change -0.24%
Morningstar Category™ Other Bond
ISIN LU2325209497
Fund Size (Mil)
26/04/2024
 USD 776.67
Share Class Size (Mil)
26/04/2024
 EUR 1.88
Max Initial Charge 3.00%
Ongoing Charge
24/04/2024
  0.90%
Investment Objective: UBS (Lux) Bond SICAV - Asian High Yield (USD) (EUR hedged) Q-dist
This sub-fund promotes environmental and social characteristics and is categorised in accordance with Article 8(1) of Regulation (EU) 2019/2088 on sustainability-related disclosures in the financial services sector. The Portfolio Manager utilises a UBS ESG Consensus Score to identify issuers for the investment universe with strong environmental and social performance characteristics, or a strong sustainability profile.
Returns
Trailing Returns (GBP)26/04/2024
YTD3.96
3 Years Annualised-15.67
5 Years Annualised-
10 Years Annualised-
12 Month Yield 5.02
Dividend Paying Frequency Annually
Management
Manager Name
Start Date
Raymond Gui
31/08/2022
Smit Rastogi
19/01/2022
Inception Date
13/04/2021
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Category Benchmark
Fund BenchmarkMorningstar Benchmark
JPM ACI Non Investment Grade TR USD-
Target Market
Role In Portfolio
Standalone / CoreNot Specific
ComponentNot Specific
OtherNot Specific
Primary Objective
PreservationNot Specific
GrowthNot Specific
IncomeYes
HedgingNot Specific
OtherNot Specific
Portfolio Profile for  UBS (Lux) Bond SICAV - Asian High Yield (USD) (EUR hedged) Q-dist29/02/2024
Fixed Income
Effective Maturity-
Effective Duration-
Morningstar Style Box®
Fixed Income Style
Asset Allocation
  % Long% Short% Net Assets
Stock0.000.000.00
Bond84.200.0184.19
Property0.000.000.00
Cash39.3630.309.06
Other6.740.006.74

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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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