Edmond de Rothschild Fund - Emerging Credit KD USD

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Performance History31/08/2024
Growth of 1,000 (GBP) Advanced Graph
Edmond de Rothschild Fund - Emerging Credit KD USD
Fund1.01.2-5.28.15.7
+/-Cat-2.81.3-1.96.6-0.6
+/-B’mrk----2.3
 
Key Stats
NAV
26/09/2024
 USD 90.49
Day Change -0.14%
Morningstar Category™ Global Emerging Markets Corporate Bond
ISIN LU1564424023
Fund Size (Mil)
26/09/2024
 USD 369.22
Share Class Size (Mil)
26/09/2024
 USD 5.04
Max Initial Charge -
Ongoing Charge
13/05/2024
  0.98%
Investment Objective: Edmond de Rothschild Fund - Emerging Credit KD USD
The objective of the Sub-Fund is to achieve long-term optimum growth of the invested capital via investments in regulated capital and money markets. In particular, the Sub-Fund aims to outperform its benchmark. The Sub-Fund is actively managed. Environmental, social and governance (ESG) criteria are one of the components subject to management, although their weighting in the final decision is not defined beforehand.
Returns
Trailing Returns (GBP)26/09/2024
YTD4.38
3 Years Annualised1.51
5 Years Annualised1.24
10 Years Annualised-
12 Month Yield 6.09
Dividend Paying Frequency Annually
Management
Manager Name
Start Date
Stéphane Mayor
15/07/2014
Lisa Turk
13/09/2019
Inception Date
31/01/2019
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Category Benchmark
Fund BenchmarkMorningstar Benchmark
JPM CEMBI Broad Diversified Hdg TR EURMorningstar EM Crp 10% CN Cap GR USD
Target Market
Role In Portfolio
Standalone / CoreNot Specific
ComponentNot Specific
OtherNot Specific
Primary Objective
PreservationNot Specific
GrowthNot Specific
IncomeYes
HedgingNo
OtherNot Specific
Portfolio Profile for  Edmond de Rothschild Fund - Emerging Credit KD USD31/07/2024
Fixed Income
Effective Maturity-
Effective Duration-
Morningstar Style Box®
Fixed Income Style
Asset Allocation
  % Long% Short% Net Assets
Stock0.010.000.01
Bond94.500.0094.50
Property0.000.000.00
Cash5.530.165.37
Other0.120.000.12
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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