iShares $ Short Duration High Yield Corp Bond UCITS ETF USD (Acc) | SDHA

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Performance History31/03/2024
Growth of 1,000 (GBP) Advanced Graph
iShares $ Short Duration High Yield Corp Bond UCITS ETF USD (Acc)
          | 
          SDHA
Fund0.55.08.62.82.4
+/-Cat-1.30.08.4-2.30.2
+/-B’mrk-3.3-1.28.5-4.3-0.1
 
Key Stats
Closing Price
23/04/2024
 USD 6.21
Day Change -0.51%
Morningstar Category™ USD High Yield Bond
Volume 6412
Exchange LONDON STOCK EXCHANGE, THE
ISIN IE00BZ17CN18
Fund Size (Mil)
23/04/2024
 USD 1440.03
Share Class Size (Mil)
23/04/2024
 USD 632.15
Ongoing Charge
31/01/2023
  0.45%
*  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 $ Short Duration High Yield Corp Bond UCITS ETF USD (Acc) | SDHA
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 0-5 Capped Index.
Returns
Trailing Returns (GBP)23/04/2024
YTD3.53
3 Years Annualised6.37
5 Years Annualised4.23
10 Years Annualised-
12 Month Yield 0.00
Management
Manager Name
Start Date
-
-
Inception Date
29/06/2018
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Category Benchmark
Fund BenchmarkMorningstar Benchmark
Markit iBoxx USD Liquid HY 0-5 TRMorningstar 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 $ Short Duration High Yield Corp Bond UCITS ETF USD (Acc) | SDHA22/04/2024
Fixed Income
Effective Maturity2.68
Effective Duration2.10
Morningstar Style Box®
Fixed Income Style
Asset Allocation
  % Long% Short% Net Assets
Stock0.000.000.00
Bond95.620.0095.62
Property0.000.000.00
Cash4.560.184.38
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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