Mercer Low Volatility Equity Fund M-5£ Hedged

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Performance History30/11/2023
Growth of 1,000 (GBP) Advanced Graph
Mercer Low Volatility Equity Fund M-5£ Hedged
Fund19.80.418.0-13.19.6
+/-Cat-----
+/-B’mrk-----
 
Key Stats
NAV
13/12/2023
 GBP 199.07
Day Change 0.92%
Morningstar Category™ Other Equity
IA (formerly IMA) Sector -
ISIN IE00B9C9FR91
Fund Size (Mil)
16/05/2024
 USD 815.06
Share Class Size (Mil)
13/12/2023
 GBP 0.71
Max Initial Charge -
Ongoing Charge
20/03/2024
  1.19%
Investment Objective: Mercer Low Volatility Equity Fund M-5£ Hedged
The investment objective of the Sub-Fund is to seek long term growth of capital and income.
Returns
Trailing Returns (GBP)13/12/2023
YTD12.11
3 Years Annualised5.14
5 Years Annualised5.72
10 Years Annualised6.61
12 Month Yield 0.00
Management
Manager Name
Start Date
-
-
Inception Date
02/07/2013
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Category Benchmark
Fund BenchmarkMorningstar Benchmark
MSCI World NR USD-
Target Market
Role In Portfolio
Standalone / CoreNot Specific
ComponentNot Specific
OtherNot Specific
Primary Objective
PreservationNo
GrowthYes
IncomeNo
HedgingNo
OtherNot Specific
Portfolio Profile for  Mercer Low Volatility Equity Fund M-5£ Hedged31/03/2024
Morningstar Style Box®
Equity Style
Asset Allocation
  % Long% Short% Net Assets
Stock94.510.0094.51
Bond0.190.000.19
Property0.000.000.00
Cash6.443.193.24
Other2.060.002.06
Top 5 Regions%
United States67.49
Eurozone8.36
United Kingdom5.52
Europe - ex Euro5.13
Japan4.78
Top 5 Sectors%
Technology21.19
Healthcare15.59
Consumer Defensive15.38
Financial Services13.33
Industrials12.12
Top 5 HoldingsSector%
Microsoft CorpTechnologyTechnology2.86
Alphabet Inc Class ACommunication ServicesCommunication Services2.77
WisdomTree Physical Gold2.06
Visa Inc Class AFinancial ServicesFinancial Services1.73
ASML Holding NVTechnologyTechnology1.40
Mercer Low Volatility Equity Fund M-5£ Hedged

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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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