Xtrackers II iBoxx Eurozone Government Bond Yield Plus UCITS ETF 1C (EUR) | XY4P

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Performance History31/10/2024
Growth of 1,000 (GBP) Advanced Graph
Xtrackers II iBoxx Eurozone Government Bond Yield Plus UCITS ETF 1C (EUR)
          | 
          XY4P
Fund12.1-8.7-13.35.70.3
+/-Cat2.90.2-2.52.02.2
+/-B’mrk1.20.70.31.52.0
 
Key Stats
Closing Price
22/11/2024
 EUR 178.33
Day Change 0.03%
Morningstar Category™ EUR Government Bond
Volume 14
Exchange BORSA ITALIANA S.P.A.
ISIN LU0524480265
Fund Size (Mil)
21/11/2024
 EUR 997.36
Share Class Size (Mil)
21/11/2024
 EUR 897.76
Ongoing Charge
13/09/2024
  0.15%
Investment Objective: Xtrackers II iBoxx Eurozone Government Bond Yield Plus UCITS ETF 1C (EUR) | XY4P
The aim is for the investment to reflect the performance of the Markit iBoxx EUR Sovereigns Eurozone Yield Plus Index® (the "Reference Index"). The Reference Index reflects the performance of tradable debt (bonds) issued by the 5 highest-yielding Eurozone countries and denominated in Euro.
Returns
Trailing Returns (GBP)22/11/2024
YTD-0.20
3 Years Annualised-3.19
5 Years Annualised-1.71
10 Years Annualised1.67
12 Month Yield 0.00
Management
Manager Name
Start Date
Not Disclosed
22/09/2010
Inception Date
22/09/2010
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Category Benchmark
Fund BenchmarkMorningstar Benchmark
Markit iBoxx EUR Sov EuroZ Yield+ TR EURMorningstar EZN Trsy Bd GR EUR
Target Market
Role In Portfolio
Standalone / CoreNot Specific
ComponentNot Specific
OtherNot Specific
Primary Objective
PreservationNot Specific
GrowthYes
IncomeNot Specific
HedgingNot Specific
OtherNot Specific
Portfolio Profile for  Xtrackers II iBoxx Eurozone Government Bond Yield Plus UCITS ETF 1C (EUR) | XY4P31/10/2024
Fixed Income
Effective Maturity8.62
Effective Duration6.92
Morningstar Style Box®
Fixed Income Style
Asset Allocation
  % Long% Short% Net Assets
Stock0.000.000.00
Bond99.630.0099.63
Property0.000.000.00
Cash0.370.000.37
Other0.000.000.00

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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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