Lyxor Smart Overnight Return - UCITS ETF C-USD | SMTC

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Performance History31/03/2024
Growth of 1,000 (GBP) Advanced Graph
Lyxor Smart Overnight Return - UCITS ETF C-USD
          | 
          SMTC
Fund-2.51.214.7-0.72.3
+/-Cat-----
+/-B’mrk-----
 
Key Stats
Closing Price
26/04/2024
 USD 1180.42
Day Change 0.26%
Morningstar Category™ Money Market - Other
Volume 5245
Exchange LONDON STOCK EXCHANGE, THE
ISIN LU1248511575
Fund Size (Mil)
26/04/2024
 EUR 3108.06
Share Class Size (Mil)
26/04/2024
 USD 435.47
Ongoing Charge
01/06/2022
  0.09%
Investment Objective: Lyxor Smart Overnight Return - UCITS ETF C-USD | SMTC
The investment objective of the Sub-Fund is to generate a return linked to money market rates. The Sub-Fund is benchmarked with the €ster compounded rate. The recommended investment period for any investment in the Sub-Fund is 3 months. The Sub-Fund is actively managed within a strict risk and liquidity control environment. For the avoidance of doubts, this investment objective will not be carried out via an Indirect Replication or via a Direct Replication.
Returns
Trailing Returns (GBP)26/04/2024
YTD4.14
3 Years Annualised6.84
5 Years Annualised3.04
10 Years Annualised-
12 Month Yield 0.00
Management
Manager Name
Start Date
Jean-Yves Bianchi
02/03/2015
Raphaël Dieterlen
02/03/2015
Inception Date
30/06/2015
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Category Benchmark
Fund BenchmarkMorningstar Benchmark
Euro Short Term Rate-
Target Market
Role In Portfolio
Standalone / CoreNot Specific
ComponentNot Specific
OtherNot Specific
Primary Objective
PreservationNot Specific
GrowthYes
IncomeNot Specific
HedgingNo
OtherNot Specific
Portfolio Profile for  Lyxor Smart Overnight Return - UCITS ETF C-USD | SMTC-
Top 5 Holdings%
No Data Available
Fixed Income
Effective Maturity-
Effective Duration-
Morningstar Style Box®
Fixed Income Style
Asset Allocation
  % Long% Short% Net Assets

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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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