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RobecoSAM Global SDG Credits IH GBP

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Performance History30/11/2021
Growth of 1,000 (GBP) Advanced Graph
RobecoSAM Global SDG Credits IH GBP
Fund---9.4-1.5
+/-Cat---2.5-0.5
+/-B’mrk---2.2-0.7
 
Key Stats
NAV
06/12/2021
 GBP 117.56
Day Change -0.23%
Morningstar Category™ Global Corporate Bond - GBP Hedged
IA (formerly IMA) Sector Global Corporate Bond
ISIN LU1945299961
Fund Size (Mil)
03/12/2021
 EUR 1881.65
Share Class Size (Mil)
31/10/2021
 GBP 127.32
Max Initial Charge 0.50%
Ongoing Charge
21/04/2021
  0.53%
Investment Objective: RobecoSAM Global SDG Credits IH GBP
The Sub-fund has as its sustainable investment objective to advance the United Nations Sustainable Development Goals (UN SDGs) by investing in companies whose business models and operational practices are aligned with targets defined by the 17 UN SDGs, while at the same time aiming to provide long term capital growth. A positive contribution on the UN SDGs means that the respective company offers products and services and/or promotes trade customs that contribute to achieving the UN SDGs.
Returns
Trailing Returns (GBP)06/12/2021
YTD-1.16
3 Years Annualised-
5 Years Annualised-
10 Years Annualised-
12 Month Yield 0.00
Management
Manager Name
Start Date
Jan de Moor
16/05/2018
Inception Date
20/02/2019
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Category Benchmark
Fund BenchmarkMorningstar Benchmark
Bloomberg Gbl Agg Corp 1229 TR Hdg EURBloomberg Gbl Agg Corp TR Hdg GBP
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  RobecoSAM Global SDG Credits IH GBP31/10/2021
Fixed Income
Effective Maturity-
Effective Duration-
Morningstar Style Box®
Fixed Income Style
Asset Allocation
  % Long% Short% Net Assets
Stock0.000.000.00
Bond112.2732.9579.32
Property0.000.000.00
Cash134.04123.0710.97
Other9.710.009.71

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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)