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

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Performance History30/04/2022
Growth of 1,000 (GBP) Advanced Graph
iShares $ High Yield Corp Bond UCITS ETF USD (Dist) (GBP)
          | 
          SHYU
Fund-1.513.14.74.3-0.4
+/-Cat-4.64.92.9-0.7-0.1
+/-B’mrk-5.53.20.9-2.00.6
 
Key Stats
Closing Price
20/05/2022
 GBX 7314.00
Day Change 0.39%
Morningstar Category™ USD High Yield Bond
Volume 1593
Exchange LONDON STOCK EXCHANGE, THE
ISIN IE00B4PY7Y77
Fund Size (Mil)
20/05/2022
 USD 6491.43
Share Class Size (Mil)
20/05/2022
 USD 3862.97
Ongoing Charge
27/01/2022
  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)20/05/2022
YTD-1.52
3 Years Annualised2.08
5 Years Annualised3.26
10 Years Annualised6.02
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 USDBloomberg US Corporate High Yield 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) | SHYU19/05/2022
Fixed Income
Effective Maturity4.84
Effective Duration3.81
Morningstar Style Box®
Fixed Income Style
Asset Allocation
  % Long% Short% Net Assets
Stock0.000.000.00
Bond96.880.0096.88
Property0.000.000.00
Cash2.811.321.49
Other1.640.001.64

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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)