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Alger SICAV - Alger Dynamic Opportunities Fund Class A US

Performance History31/10/2019
Growth of 1,000 (GBP) Advanced Graph
Alger SICAV - Alger Dynamic Opportunities Fund Class A US
Fund7.418.06.43.26.6
+/-Cat-----
+/-B’mrk-----
 
Key Stats
NAV
18/11/2019
 USD 12.69
Day Change -0.08%
Morningstar Category™ Alt - Long/Short Equity - US
ISIN LU1083692993
Fund Size (Mil)
18/11/2019
 USD 39.19
Share Class Size (Mil)
18/11/2019
 USD 38.99
Max Initial Charge 6.00%
Ongoing Charge
27/09/2019
  2.53%
Investment Objective: Alger SICAV - Alger Dynamic Opportunities Fund Class A US
N/A
Returns
Trailing Returns (GBP)18/11/2019
YTD8.30
3 Years Annualised5.71
5 Years Annualised8.74
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 US31/08/2019
Morningstar Style Box®
Equity Style
Morningstar Style Box®
Fixed Income Style
Asset Allocation
  % Long% Short% Net Assets
Stock87.1439.5347.61
Bond0.240.000.24
Property0.000.000.00
Cash51.840.0051.84
Other0.300.000.30
Fixed Income
Effective Maturity-
Effective Duration-
Top 5 Regions%
United States90.89
Canada7.43
Europe - ex Euro0.58
Asia - Emerging0.54
Eurozone0.29
Top 5 Sectors%
Technology26.29
Healthcare25.24
Industrials14.30
Consumer Cyclical12.67
Consumer Defensive8.81
Top 5 HoldingsSector%
TransDigm Group IncIndustrialsIndustrials3.55
FirstService CorpReal EstateReal Estate3.22
Chegg IncConsumer DefensiveConsumer Defensive3.13
Waste Connections IncIndustrialsIndustrials3.00
Nevro CorpHealthcareHealthcare2.76
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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