Insight Liquidity Funds plc - ILF USD Liquidity Fund Class 2

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Performance History31/03/2024
Growth of 1,000 (GBP) Advanced Graph
Insight Liquidity Funds plc - ILF USD Liquidity Fund Class 2
Fund-2.71.013.2-3.51.8
+/-Cat-0.10.1-0.8-2.1-0.2
+/-B’mrk-0.20.0-1.2-2.7-0.5
 
Key Stats
NAV
25/04/2024
 USD 1.00
Day Change -0.46%
Morningstar Category™ USD Money Market - Short Term
ISIN IE00B04TWD92
Fund Size (Mil)
30/11/2023
 GBP 1018.77
Share Class Size (Mil)
24/04/2024
 USD 750.52
Max Initial Charge -
Ongoing Charge
31/12/2023
  0.04%
Investment Objective: Insight Liquidity Funds plc - ILF USD Liquidity Fund Class 2
The investment objective of the US Dollar Fund is to provide investors with stability of capital and of Net Asset Value per Share (in the case of the Stable Net Asset Value Shares) and daily liquidity with an income which is comparable to US Dollar denominated short dated money market interest rates.
Returns
Trailing Returns (GBP)25/04/2024
YTD2.99
3 Years Annualised4.78
5 Years Annualised1.72
10 Years Annualised-
12 Month Yield 2.65
Dividend Paying Frequency Monthly
Management
Manager Name
Start Date
Patrick Goodall
24/08/2005
Chris Brown
24/08/2005
Click here to see others
Inception Date
09/01/2017
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Category Benchmark
Fund BenchmarkMorningstar Benchmark
Effective Federal Funds RateMorningstar USD 1M Cash TR USD
Target Market
Role In Portfolio
Standalone / CoreNot Specific
ComponentNot Specific
OtherNot Specific
Primary Objective
PreservationYes
GrowthNo
IncomeNot Specific
HedgingNot Specific
OtherNot Specific
Portfolio Profile for  Insight Liquidity Funds plc - ILF USD Liquidity Fund Class 231/03/2024
Fixed Income
Effective Maturity-
Effective Duration-
Morningstar Style Box®
Fixed Income Style
Asset Allocation
  % Long% Short% Net Assets
Stock0.000.000.00
Bond0.000.000.00
Property0.000.000.00
Cash100.000.00100.00
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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