BlueBay Emerg Mkt Uncons Bd QGBPQIDivInc

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Performance History31/10/2024
Growth of 1,000 (GBP) Advanced Graph
BlueBay Emerg Mkt Uncons Bd QGBPQIDivInc
Fund----10.4
+/-Cat----5.9
+/-B’mrk----7.6
 
Key Stats
NAV
20/11/2024
 GBP 106.56
Day Change 0.27%
Morningstar Category™ Global Emerging Markets Bond
IA (formerly IMA) Sector Global Emerging Markets Bond - Blended
ISIN LU2711051933
Fund Size (Mil)
20/11/2024
 USD 601.67
Share Class Size (Mil)
-
 -
Max Initial Charge -
Ongoing Charge
16/02/2024
  0.85%
Investment Objective: BlueBay Emerg Mkt Uncons Bd QGBPQIDivInc
The Sub-Fund is actively managed, does not reference any benchmark and aims to achieve a total return from a portfolio of fixed income securities predominantly issued by Emerging Market Issuers and denominated in any currency, as well as making investments linked directly or indirectly to currencies and/or interest rates of Emerging Market Countries while taking into account ESG considerations.
Returns
Trailing Returns (GBP)20/11/2024
YTD12.70
3 Years Annualised-
5 Years Annualised-
10 Years Annualised-
12 Month Yield -
Dividend Paying Frequency Quarterly
Management
Manager Name
Start Date
Polina Kurdyavko
01/06/2016
Anthony Kettle
01/12/2017
Click here to see others
Inception Date
04/12/2023
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Category Benchmark
Fund BenchmarkMorningstar Benchmark
No benchmarkMorningstar EM Sov Bd GR USD
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  BlueBay Emerg Mkt Uncons Bd QGBPQIDivInc30/09/2024
Fixed Income
Effective Maturity-
Effective Duration-
Morningstar Style Box®
Fixed Income Style
Asset Allocation
  % Long% Short% Net Assets
Stock0.000.000.00
Bond118.0750.9867.09
Property0.000.000.00
Cash39.697.3632.33
Other0.580.000.58

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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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