Janus Henderson Glb Tech&Inno G2 HEUR

Performance History30/04/2024
Growth of 1,000 (EUR)
Janus Henderson Glb Tech&Inno G2 HEUR
Fund---50.510.7
+/-Cat-----
+/-Idx-----
 
Key Stats
NAV
01/05/2024
 EUR 17.52
Day Change -0.90%
Morningstar Category™ Other Equity
ISIN IE000FXF8HX8
Fund Size (Mil)
01/05/2024
 USD 432.42
Share Class Size (Mil)
01/05/2024
 EUR 0.01
Max Initial Charge -
Ongoing Charge
20/03/2024
  0.70%
Investment Objective: Janus Henderson Glb Tech&Inno G2 HEUR
The Fund’s investment objective is long-term growth of capital. It pursues its objective by investing at least 80% of its net asset value in equities (also known as company shares) located anywhere in the world and selected for their growth potential.
Returns
Trailing Returns (EUR)01/05/2024
YTD9.71
3 Years Annualised-
5 Years Annualised-
10 Years Annualised-
12 Month Yield 0.00
Management
Manager Name
Start Date
Denny Fish
12/01/2016
Jonathan Cofsky
01/03/2022
Inception Date
11/10/2022
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Benchmarks
Fund BenchmarkMorningstar Benchmark
MSCI ACWI/Information Technology 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  Janus Henderson Glb Tech&Inno G2 HEUR31/03/2024
Morningstar Style Box®
Equity Style
Asset Allocation
  % Long% Short% Net Assets
Stocks94.090.0094.09
Bonds0.000.000.00
Cash5.400.005.40
Other0.520.000.52
Top 5 Regions%
United States80.90
Eurozone6.72
Asia - Developed6.64
Canada3.80
Latin America1.13
Top 5 Sectors%
Technology77.09
Communication Services11.14
Consumer Cyclical4.43
Financial Services3.29
Real Estate2.76
Top 5 HoldingsSector%
NVIDIA CorpTechnologyTechnology9.49
Microsoft CorpTechnologyTechnology8.41
Taiwan Semiconductor Manufacturi... TechnologyTechnology6.24
Meta Platforms Inc Class ACommunication ServicesCommunication Services5.29
ASML Holding NVTechnologyTechnology4.70
Janus Henderson Glb Tech&Inno G2 HEUR
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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