iShares Global Govt Bond UCITS ETF GBP Hedged (Dist) | IGLH

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Performance History31/03/2024
Growth of 1,000 (GBP) Advanced Graph
iShares Global Govt Bond UCITS ETF GBP Hedged (Dist)
          | 
          IGLH
Fund5.1-2.5-13.85.0-0.7
+/-Cat0.2-0.7-3.0-0.6-0.5
+/-B’mrk-0.1-0.7-0.4-0.8-0.6
 
Key Stats
Closing Price
26/04/2024
 GBX 452.05
Day Change 0.20%
Morningstar Category™ Global Bond - GBP Hedged
Volume 765186
Exchange LONDON STOCK EXCHANGE, THE
ISIN IE00BDFK3H31
Fund Size (Mil)
26/04/2024
 USD 2801.74
Share Class Size (Mil)
26/04/2024
 GBP 787.16
Ongoing Charge
27/01/2023
  0.25%
*  This rating and report were issued for a different share class of this fund. The performance and fee structure of this class may vary from that referenced.
Investment Objective: iShares Global Govt Bond UCITS ETF GBP Hedged (Dist) | IGLH
The investment objective of the Fund is to provide investors with a total return, taking into account both capital and income returns, which reflects the return of the FTSE Group-of-Seven (G7) Government Bond Index.
Returns
Trailing Returns (GBP)26/04/2024
YTD-2.72
3 Years Annualised-4.10
5 Years Annualised-1.34
10 Years Annualised-
12 Month Yield 1.93
Dividend Paying Frequency Half-yearly
Management
Manager Name
Start Date
Not Disclosed
06/03/2009
Inception Date
20/03/2018
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Category Benchmark
Fund BenchmarkMorningstar Benchmark
FTSE G7 USDMorningstar Gbl Core Bd GR Hdg GBP
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  iShares Global Govt Bond UCITS ETF GBP Hedged (Dist) | IGLH25/04/2024
Fixed Income
Effective Maturity9.22
Effective Duration7.37
Morningstar Style Box®
Fixed Income Style
Asset Allocation
  % Long% Short% Net Assets
Stock0.000.000.00
Bond99.690.0099.69
Property0.000.000.00
Cash0.370.070.31
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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