KLS Arete Macro Fund Class SI USD Inc

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Performance History30/04/2024
Growth of 1,000 (GBP) Advanced Graph
KLS Arete Macro Fund Class SI USD Inc
Fund---3.67.1
+/-Cat---4.63.9
+/-B’mrk----0.35.6
 
Key Stats
NAV
14/05/2024
 USD 116.63
Day Change -0.19%
Morningstar Category™ Macro Trading USD
ISIN IE0001H8RIR5
Fund Size (Mil)
14/05/2024
 USD 562.84
Share Class Size (Mil)
14/05/2024
 USD 3.24
Max Initial Charge 5.00%
Ongoing Charge
09/02/2024
  1.23%
Investment Objective: KLS Arete Macro Fund Class SI USD Inc
The investment objective of the Fund is to seek to achieve total returns through capital growth and/or income generation. The Sub-Investment Manager will pursue the investment objective of the Fund by investing primarily in a diversified portfolio of Emerging Market investments which are listed and/or traded on Recognised Markets.
Returns
Trailing Returns (GBP)14/05/2024
YTD9.21
3 Years Annualised-
5 Years Annualised-
10 Years Annualised-
12 Month Yield 0.00
Dividend Paying Frequency Annually
Management
Manager Name
Start Date
Will Li
05/07/2018
Inception Date
14/11/2022
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Category Benchmark
Fund BenchmarkMorningstar Benchmark
Not BenchmarkedMorningstar US Con Tgt Alloc NR USD
Target Market
Role In Portfolio
Standalone / CoreNot Specific
ComponentNot Specific
OtherNot Specific
Primary Objective
PreservationNot Specific
GrowthYes
IncomeNot Specific
HedgingNot Specific
OtherNot Specific
Portfolio Profile for  KLS Arete Macro Fund Class SI USD Inc31/03/2024
Morningstar Style Box®
Equity Style
Morningstar Style Box®
Fixed Income Style
Asset Allocation
  % Long% Short% Net Assets
Stock227.9117.05210.86
Bond19.919.7410.17
Property0.000.000.00
Cash1601.511805.56-204.06
Other83.030.0083.03
Fixed Income
Effective Maturity-
Effective Duration-
Top 5 Regions%
No Data Available
Top 5 Sectors%
No Data Available
Top 5 HoldingsSector%
Nikkei 225 Future June 2440.50
Hang Seng Index Future Apr1426.99
H-shares Index Future Apr1423.45
E-mini S&P 500 Future June 2421.35
MSCI CHINA 042416.56
KLS Arete Macro Fund Class SI USD Inc
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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