abrdn SICAV I – Emerging Markets Bond Fund Class A Acc Hedged CHF

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Performance History31/10/2024
Growth of 1,000 (GBP) Advanced Graph
abrdn SICAV I – Emerging Markets Bond Fund Class A Acc Hedged CHF
Fund---11.413.4-1.0
+/-Cat-----
+/-B’mrk-----
 
Key Stats
NAV
22/11/2024
 CHF 116.99
Day Change -
Morningstar Category™ Other Bond
ISIN LU0487189069
Fund Size (Mil)
22/11/2024
 USD 366.14
Share Class Size (Mil)
22/11/2024
 CHF 1.59
Max Initial Charge 0.05%
Ongoing Charge
30/09/2024
  1.69%
Investment Objective: abrdn SICAV I – Emerging Markets Bond Fund Class A Acc Hedged CHF
The Fund’s investment objective is long term total return to be achieved by investing at least two-thirds of the Fund’s assets in debt and debt-related securities which are issued by corporations with their registered office in, and/or government related bodies domiciled in an Emerging Market country.
Returns
Trailing Returns (GBP)22/11/2024
YTD-
3 Years Annualised-
5 Years Annualised-
10 Years Annualised-
12 Month Yield 0.00
Management
Manager Name
Start Date
Anthony Simond
01/01/2010
Edwin Gutierrez
02/12/2005
Inception Date
06/08/2007
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Category Benchmark
Fund BenchmarkMorningstar Benchmark
JPM EMBI Global Diversified TR USD-
Target Market
Role In Portfolio
Standalone / CoreNot Specific
ComponentNot Specific
OtherNot Specific
Primary Objective
PreservationNo
GrowthYes
IncomeYes
HedgingNot Specific
OtherNot Specific
Portfolio Profile for  abrdn SICAV I – Emerging Markets Bond Fund Class A Acc Hedged CHF31/10/2024
Fixed Income
Effective Maturity8.70
Effective Duration6.62
Morningstar Style Box®
Fixed Income Style
Asset Allocation
  % Long% Short% Net Assets
Stock0.000.000.00
Bond91.670.0091.67
Property0.000.000.00
Cash24.0117.356.65
Other0.000.000.00

Related

* This share class has performance data calculated prior to the inception date, 2007-08-06. This is based upon a simulated/extended track record and is in accordance with Morningstar’s Extended Performance Methodology paper. To find out more about this, click here.
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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