Goldman Sachs Global Senior Loans (Lux) - I Dis(M) GBP (hedged i)

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Performance History30/04/2024
Growth of 1,000 (GBP) Advanced Graph
Goldman Sachs Global Senior Loans (Lux) - I Dis(M) GBP (hedged i)
Fund-1.24.4-4.79.23.9
+/-Cat-----
+/-B’mrk-----
 
Key Stats
NAV
07/05/2024
 GBP 4194.32
Day Change 0.07%
Morningstar Category™ Other Bond
IA (formerly IMA) Sector -
ISIN LU0428438732
Fund Size (Mil)
07/05/2024
 EUR 161.98
Share Class Size (Mil)
07/05/2024
 EUR 0.37
Max Initial Charge 2.00%
Ongoing Charge
31/12/2022
  2.10%
Investment Objective: Goldman Sachs Global Senior Loans (Lux) - I Dis(M) GBP (hedged i)
The objective of this actively managed Sub-Fund is to provide a high level of risk-adjusted monthly income. It is the policy of this Sub-Fund to invest in higher yielding, floating rate senior loans (“Senior Loans”) and other senior floating rate debt instruments (collectively with “Senior Loans” hereinafter referred to as “Senior instruments”) issued by U.S. and non-U.S. corporations and other business entities.
Returns
Trailing Returns (GBP)07/05/2024
YTD4.23
3 Years Annualised3.59
5 Years Annualised2.39
10 Years Annualised2.51
12 Month Yield 7.88
Dividend Paying Frequency Monthly
Management
Manager Name
Start Date
Peter Campo
11/12/2023
Aakash Thombre
11/12/2023
Inception Date
15/06/2009
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Category Benchmark
Fund BenchmarkMorningstar Benchmark
Not Benchmarked-
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  Goldman Sachs Global Senior Loans (Lux) - I Dis(M) GBP (hedged i)31/10/2023
Fixed Income
Effective Maturity-
Effective Duration-
Morningstar Style Box®
Fixed Income Style
Asset Allocation
  % Long% Short% Net Assets
Stock1.610.001.61
Bond87.460.0087.46
Property0.000.000.00
Cash126.97116.6910.28
Other0.660.000.66

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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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