UBS (Lux) Real Estate Funds Selection - Global (GBP hedged) P-acc

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Performance History29/02/2024
Growth of 1,000 (GBP) Advanced Graph
UBS (Lux) Real Estate Funds Selection - Global (GBP hedged) P-acc
Fund1.614.24.8-8.90.5
+/-Cat-2.014.70.6-4.42.4
+/-B’mrk-----
 
Key Stats
NAV
29/02/2024
 GBP 133.15
Day Change 0.00%
Morningstar Category™ Property - Direct Global
IA (formerly IMA) Sector -
ISIN LU1379517383
Fund Size (Mil)
29/02/2024
 EUR 6401.03
Share Class Size (Mil)
29/02/2024
 GBP 3.93
Max Initial Charge 5.00%
Ongoing Charge
-
  -%
Investment Objective: UBS (Lux) Real Estate Funds Selection - Global (GBP hedged) P-acc
The investment objective of the fund is to deliver a broadly diversified exposure to major property markets worldwide, including Asia Pacific (mainly Australia and Japan), Europe and North America and in the principal real estate types, being office, retail, logistic, residential and in some cases hospitality and healthcare, and storage.
Returns
Trailing Returns (GBP)29/02/2024
YTD0.53
3 Years Annualised3.05
5 Years Annualised3.05
10 Years Annualised-
12 Month Yield 0.00
Management
Manager Name
Start Date
Paul Guest
28/01/2020
Konstantina Stamatara
01/01/2021
Inception Date
31/05/2016
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Category Benchmark
Fund BenchmarkMorningstar Benchmark
Not Benchmarked-
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  UBS (Lux) Real Estate Funds Selection - Global (GBP hedged) P-acc-
Morningstar Style Box®
Equity Style
Morningstar Style Box®
Fixed Income Style
Asset Allocation
  % Long% Short% Net Assets
Fixed Income
Effective Maturity-
Effective Duration-
Top 5 Regions%
No Data Available
Top 5 Sectors%
No Data Available
Top 5 HoldingsSector%
No Data Available
UBS (Lux) Real Estate Funds Selection - Global (GBP hedged) P-acc

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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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