Alger SICAV - Alger Dynamic Opportunities Fund Class A US

Performance History30/06/2020
Growth of 1,000 (GBP) Advanced Graph
Alger SICAV - Alger Dynamic Opportunities Fund Class A US
Fund18.06.43.26.429.3
+/-Cat-----
+/-B’mrk-----
 
Key Stats
NAV
07/07/2020
 USD 15.58
Day Change -0.83%
Morningstar Category™ Alt - Long/Short Equity - US
ISIN LU1083692993
Fund Size (Mil)
06/07/2020
 USD 54.79
Share Class Size (Mil)
06/07/2020
 USD 45.92
Max Initial Charge 6.00%
Ongoing Charge
14/02/2020
  2.60%
Investment Objective: Alger SICAV - Alger Dynamic Opportunities Fund Class A US
N/A
Returns
Trailing Returns (GBP)07/07/2020
YTD28.83
3 Years Annualised12.63
5 Years Annualised12.29
10 Years Annualised-
12 Month Yield 0.00
Management
Manager Name
Start Date
H. George Dai
01/03/2017
Joshua Bennett
01/03/2017
Click here to see others
Inception Date
08/08/2014
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Category Benchmark
Fund BenchmarkMorningstar Benchmark
S&P 500 TR EUR-
Target Market
Role In Portfolio
Standalone / CoreNot Specific
ComponentNot Specific
OtherNot Specific
Primary Objective
PreservationNo
GrowthYes
IncomeNo
HedgingNo
OtherNot Specific
Portfolio Profile for  Alger SICAV - Alger Dynamic Opportunities Fund Class A US30/04/2020
Morningstar Style Box®
Equity Style
Morningstar Style Box®
Fixed Income Style
Asset Allocation
  % Long% Short% Net Assets
Stock81.6427.2954.35
Bond0.240.000.24
Property0.000.000.00
Cash46.190.0046.19
Other0.241.02-0.78
Fixed Income
Effective Maturity-
Effective Duration-
Top 5 Regions%
United States92.43
Canada6.43
Latin America0.57
Eurozone0.30
Europe - ex Euro0.26
Top 5 Sectors%
Technology27.49
Healthcare22.18
Consumer Cyclical13.03
Industrials9.89
Real Estate8.82
Top 5 HoldingsSector%
Chegg IncConsumer DefensiveConsumer Defensive4.33
Nevro CorpHealthcareHealthcare3.69
Amazon.com IncConsumer CyclicalConsumer Cyclical2.98
FirstService CorpReal EstateReal Estate2.91
Alphabet Inc ACommunication ServicesCommunication Services2.16
Alger SICAV - Alger Dynamic Opportunities Fund Class A US
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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