iShares $ High Yield Corp Bond UCITS ETF USD (Dist) (GBP) | SHYU

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Performance History30/04/2024
Growth of 1,000 (GBP) Advanced Graph
iShares $ High Yield Corp Bond UCITS ETF USD (Dist) (GBP)
          | 
          SHYU
Fund4.74.3-9.010.71.8
+/-Cat-----
+/-B’mrk1.0-1.9-9.23.7-0.5
 
Key Stats
Closing Price
24/05/2024
 GBX 7144.00
Day Change -0.23%
Morningstar Category™ USD High Yield Bond
Volume 25285
Exchange LONDON STOCK EXCHANGE, THE
ISIN IE00B4PY7Y77
Fund Size (Mil)
24/05/2024
 USD 5789.15
Share Class Size (Mil)
24/05/2024
 USD 3368.35
Ongoing Charge
26/01/2023
  0.50%
*  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 $ High Yield Corp Bond UCITS ETF USD (Dist) (GBP) | SHYU
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 Markit iBoxx USD Liquid High Yield Capped Index.
Returns
Trailing Returns (GBP)24/05/2024
YTD0.91
3 Years Annualised5.00
5 Years Annualised3.07
10 Years Annualised5.93
12 Month Yield -
Dividend Paying Frequency Half-yearly
Management
Manager Name
Start Date
Not Disclosed
13/09/2011
Inception Date
13/09/2011
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Category Benchmark
Fund BenchmarkMorningstar Benchmark
Markit iBoxx USD Liquid HY Cap TR USDMorningstar US HY Bd TR 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  iShares $ High Yield Corp Bond UCITS ETF USD (Dist) (GBP) | SHYU23/05/2024
Fixed Income
Effective Maturity4.13
Effective Duration3.29
Morningstar Style Box®
Fixed Income Style
Asset Allocation
  % Long% Short% Net Assets
Stock0.000.000.00
Bond98.220.0098.22
Property0.000.000.00
Cash3.472.351.12
Other0.660.000.66

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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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