Invesco Real Estate S&P US Select Sector UCITS ETF | XRES

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Performance History30/11/2024
Growth of 1,000 (GBP) Advanced Graph
Invesco Real Estate S&P US Select Sector UCITS ETF
          | 
          XRES
Fund-6.448.3-16.66.414.1
+/-Cat3.810.12.82.13.3
+/-B’mrk1.79.90.42.20.4
 
Key Stats
Closing Price
20/12/2024
 USD 23.84
Day Change 1.17%
Morningstar Category™ Property - Indirect North America
Volume 14680
Exchange LONDON STOCK EXCHANGE, THE
ISIN IE00BYM8JD58
Fund Size (Mil)
19/12/2024
 USD 128.24
Share Class Size (Mil)
19/12/2024
 USD 128.24
Ongoing Charge
21/11/2024
  0.14%
Investment Objective: Invesco Real Estate S&P US Select Sector UCITS ETF | XRES
The fund aims to provide the performance of the S&P Select Sector Capped 20% Financial Services Total Return (Net) Index, after the impact of fees.
Returns
Trailing Returns (GBP)20/12/2024
YTD4.70
3 Years Annualised-1.58
5 Years Annualised5.02
10 Years Annualised-
12 Month Yield 0.00
Management
Manager Name
Start Date
-
-
Inception Date
17/02/2016
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Category Benchmark
Fund BenchmarkMorningstar Benchmark
S&P Select Sec Cpd 20% Real Est NR USDMorningstar US Real Est 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  Invesco Real Estate S&P US Select Sector UCITS ETF | XRES30/11/2024
Morningstar Style Box®
Equity Style
Asset Allocation
  % Long% Short% Net Assets
Stock100.000.00100.00
Bond0.000.000.00
Property0.000.000.00
Cash0.000.000.00
Other0.000.000.00
Top 5 Regions%
United States100.00
Canada0.00
Latin America0.00
United Kingdom0.00
Eurozone0.00
Top 5 Sectors%
Real Estate100.00
Top 5 HoldingsSector%
TRS S&P Select Sec Cpd 20% Real ... 100.00
Invesco Real Estate S&P US Select Sector UCITS ETF | XRES

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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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