Pictet-Russian Equities I GBP

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Performance History28/02/2022
Growth of 1,000 (GBP) Advanced Graph
Pictet-Russian Equities I GBP
Fund1.334.0-2.217.7-41.6
+/-Cat-----
+/-B’mrk-----
 
Key Stats
NAV
25/02/2022
 GBP 48.58
Day Change 23.58%
Morningstar Category™ Other Equity
IA (formerly IMA) Sector Specialist
ISIN LU0859479239
Fund Size (Mil)
28/02/2022
 USD 475.00
Share Class Size (Mil)
25/02/2022
 GBP 9.17
Max Initial Charge 5.00%
Ongoing Charge
18/04/2024
  1.07%
Investment Objective: Pictet-Russian Equities I GBP
To increase the value of investment. The Fund invests a minimum of two-thirds of its net assets in equities or any similar security issued by companies that are headquartered in Russia or that conduct the majority of their activity in Russia.
Returns
Trailing Returns (GBP)25/02/2022
YTD-41.56
3 Years Annualised-6.33
5 Years Annualised-2.50
10 Years Annualised*0.15
12 Month Yield 0.00
Management
Manager Name
Start Date
Hugo Bain
16/11/2009
Christopher Bannon
01/10/2015
Inception Date
14/12/2012
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Category Benchmark
Fund BenchmarkMorningstar Benchmark
MSCI Russia 10-40 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  Pictet-Russian Equities I GBP-
Morningstar Style Box®
Equity Style
Asset Allocation
  % Long% Short% Net Assets
Top 5 Regions%
No Data Available
Top 5 Sectors%
No Data Available
Top 5 HoldingsSector%
No Data Available
Pictet-Russian Equities I GBP

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* This share class has performance data calculated prior to the inception date, 2012-12-14. This is based upon a simulated/extended track record, using the track record of Pictet-Russian Equities P dy GBP (ISIN: LU0338483232), and is in accordance with Morningstar’s Extended Performance Methodology paper. To find out more about this, click here.
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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