Alger SICAV - Alger Dynamic Opportunities Fund Class I-3EU

Performance History30/04/2020
Growth of 1,000 (GBP) Advanced Graph
Alger SICAV - Alger Dynamic Opportunities Fund Class I-3EU
Fund19.68.04.38.314.9
+/-Cat-----
+/-B’mrk-----
 
Key Stats
NAV
22/05/2020
 EUR 14.72
Day Change 0.91%
Morningstar Category™ Alt - Long/Short Equity - US
ISIN LU1232088382
Fund Size (Mil)
22/05/2020
 USD 47.98
Share Class Size (Mil)
22/05/2020
 EUR 0.03
Max Initial Charge -
Ongoing Charge
27/09/2019
  1.15%
Investment Objective: Alger SICAV - Alger Dynamic Opportunities Fund Class I-3EU
N/A
Returns
Trailing Returns (GBP)22/05/2020
YTD27.85
3 Years Annualised14.72
5 Years Annualised-
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
08/06/2015
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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 I-3EU29/02/2020
Morningstar Style Box®
Equity Style
Morningstar Style Box®
Fixed Income Style
Asset Allocation
  % Long% Short% Net Assets
Stock77.2031.6045.60
Bond0.270.000.27
Property0.000.000.00
Cash53.860.0053.86
Other0.270.000.27
Fixed Income
Effective Maturity-
Effective Duration-
Top 5 Regions%
United States88.01
Canada8.40
Eurozone1.33
Europe - ex Euro1.15
Asia - Emerging0.67
Top 5 Sectors%
Technology27.60
Healthcare23.86
Industrials14.14
Consumer Cyclical8.23
Real Estate7.13
Top 5 HoldingsSector%
Nevro CorpHealthcareHealthcare4.22
TransDigm Group IncIndustrialsIndustrials3.56
Chegg IncConsumer DefensiveConsumer Defensive3.38
FirstService CorpReal EstateReal Estate2.91
Waste Connections IncIndustrialsIndustrials2.82
Alger SICAV - Alger Dynamic Opportunities Fund Class I-3EU
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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