PIMCO GIS Income Instl JPY H Acc

Performance History31/10/2024
Growth of 1,000 (EUR)
PIMCO GIS Income Instl JPY H Acc
Fund-----6.1
+/-Cat-----
+/-Idx-----
 
Key Stats
NAV
22/11/2024
 JPY 1027.00
Day Change 0.69%
Morningstar Category™ Other Bond
ISIN IE000JC25JF4
Fund Size (Mil)
31/10/2024
 USD 88650.30
Share Class Size (Mil)
31/10/2024
 JPY 8360.24
Max Initial Charge -
Ongoing Charge
29/04/2024
  0.60%
Investment Objective: PIMCO GIS Income Instl JPY H 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)22/11/2024
YTD-3.42
3 Years Annualised-
5 Years Annualised-
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
02/03/2023
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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
HedgingNot Specific
OtherNot Specific
Portfolio Profile for  PIMCO GIS Income Instl JPY H Acc30/06/2024
Fixed Income
Effective Maturity5.17
Effective Duration3.82
Morningstar Style Box®
Fixed Income Style
Asset Allocation
  % Long% Short% Net Assets
Stocks0.940.000.94
Bonds245.0886.79158.29
Cash139.32197.56-58.24
Other0.271.26-0.99
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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