PIMCO GIS Income Investor CNH Hedged Acc

Performance History31/05/2024
Growth of 1,000 (EUR)
PIMCO GIS Income Investor CNH Hedged Acc
Fund5.815.3-9.4-1.20.3
+/-Cat-----
+/-Idx-----
 
Key Stats
NAV
28/06/2024
 CNH 122.36
Day Change -0.22%
Morningstar Category™ Other Bond
ISIN IE00BFFWC988
Fund Size (Mil)
31/05/2024
 USD 78323.62
Share Class Size (Mil)
31/05/2024
 CNH 104.70
Max Initial Charge -
Ongoing Charge
29/04/2024
  0.90%
Investment Objective: PIMCO GIS Income Investor CNH Hedged Acc
The primary investment objective of the Fund is to seek high current income, consistent with prudent investment management. Long-term capital appreciation is a secondary objective. The Fund will utilise a global multi-sector strategy that seeks to combine the Investment Advisor’s total return investment process and philosophy with income maximization. Portfolio construction is founded on the principle of diversification across a broad range of global fixed income securities. Top-down and bottom-up strategies are used to identify multiple sources of value to generate consistent returns.
Returns
Trailing Returns (EUR)28/06/2024
YTD1.20
3 Years Annualised-0.58
5 Years Annualised2.57
10 Years Annualised-
12 Month Yield 0.00
Management
Manager Name
Start Date
Daniel Ivascyn
30/11/2012
Alfred Murata
30/11/2012
Click here to see others
Inception Date
03/01/2018
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Benchmarks
Fund BenchmarkMorningstar Benchmark
Bloomberg US Agg Bond TR USD-
Target Market
Role In Portfolio
Standalone / CoreNot Specific
ComponentNot Specific
OtherNot Specific
Primary Objective
PreservationYes
GrowthYes
IncomeYes
HedgingNo
OtherNot Specific
Portfolio Profile for  PIMCO GIS Income Investor CNH Hedged Acc31/03/2024
Fixed Income
Effective Maturity4.97
Effective Duration3.44
Morningstar Style Box®
Fixed Income Style
Asset Allocation
  % Long% Short% Net Assets
Stocks1.010.001.01
Bonds276.3981.63194.76
Cash127.90222.94-95.04
Other0.301.03-0.74
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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