DB Fixed Income Opportunities GBP DPMDH

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Performance History31/03/2024
Growth of 1,000 (GBP) Advanced Graph
DB Fixed Income Opportunities GBP DPMDH
Fund6.3-1.2-8.28.40.8
+/-Cat-----
+/-B’mrk-----
 
Key Stats
NAV
22/04/2024
 GBP 91.54
Day Change 0.04%
Morningstar Category™ Other Bond
IA (formerly IMA) Sector -
ISIN LU1687305356
Fund Size (Mil)
22/04/2024
 USD 562.07
Share Class Size (Mil)
22/04/2024
 GBP 14.88
Max Initial Charge -
Ongoing Charge
17/02/2023
  0.41%
Investment Objective: DB Fixed Income Opportunities GBP DPMDH
The objective of the investment policy of the sub-fund is to generate a return in USD for the USD-share classes, in EUR for the EUR-share classes and in GBP for the GBP-share classes. The sub-fund’s investments will include fixed- and floating-rate securities, deposits with credit institutions, money market instruments, convertible bonds, warrant-linked bonds and participation and dividend right certificates, certificates on investments whose underlying instruments are bonds, such as bond market indices and bond baskets and also in interest rate swaps and swaptions.
Returns
Trailing Returns (GBP)22/04/2024
YTD-0.40
3 Years Annualised-0.51
5 Years Annualised1.65
10 Years Annualised-
12 Month Yield 3.87
Dividend Paying Frequency Annually
Management
Manager Name
Start Date
Not Disclosed
31/10/2011
Inception Date
15/01/2018
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Category Benchmark
Fund BenchmarkMorningstar Benchmark
Not Benchmarked-
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  DB Fixed Income Opportunities GBP DPMDH29/02/2024
Fixed Income
Effective Maturity-
Effective Duration-
Morningstar Style Box®
Fixed Income Style
Asset Allocation
  % Long% Short% Net Assets
Stock0.000.000.00
Bond94.866.7488.12
Property0.000.000.00
Cash13.872.3111.56
Other0.330.000.33

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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)
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