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ETF Actively managed strategy
TER
0.65% p.a.
Distribution policy
Accumulating
Replication
Physical
Fund size
GBP 14 m
Inception Date
3 February 2012
Holdings
89
Overview
Description
The Ossiam Europe ESG Machine Learning UCITS ETF 1C (EUR) is an actively managed ETF.
The ETF tracks companies from Eurozone countries that are selected according to ESG criteria (environmental, social and corporate governance). Stock selection is based on a model that uses machine learning techniques.
Documents
Chart
Basics
Data
| Index | Ossiam Europe ESG Machine Learning |
| Investment focus | Equity, Europe, Social/Environmental |
| Fund size | GBP 14 m |
| Total expense ratio | 0.65% p.a. |
| Replication | Physical (Full replication) |
| Legal structure | ETF |
| Investment approach | Actively managed |
| Sustainability | Yes |
| Fund currency | EUR |
| Currency risk | Currency unhedged |
| Volatility 1 year (in GBP) | 9.99% |
| Inception/ Listing Date | 3 February 2012 |
| Distribution policy | Accumulating |
| Distribution frequency | - |
| Fund domicile | Luxembourg |
| Fund Provider | Ossiam |
| Fund Structure | Company With Variable Capital (SICAV) |
| UCITS compliance | Yes |
| Administrator | State Street Bank International GmbH, Luxembourg Branch |
| Investment Advisor | |
| Custodian Bank | State Street Bank International GmbH, Luxembourg Branch |
| Revision Company | Deloitte Audit S.A.R.L |
| Fiscal Year End | 31 December |
| Swiss representative | CACEIS Bank, Montrouge, Zurich Branch / Switzerland, Bleicherweg |
| Swiss paying agent | CACEIS Bank, Montrouge, Zurich Branch / Switzerland, Bleicherweg |
| Germany | Unknown |
| Switzerland | ESTV Reporting |
| Austria | Tax Reporting Fund |
| UK | UK Reporting |
| Italy | 26.0% |
| Indextype | Total return index |
| Swap counterparty | Morgan Stanley Europe SE |
| Collateral manager | State Street Bank |
| Securities lending | No |
| Securities lending counterparty |
Similar ETFs
This section provides you with information on other ETFs with a similar investment focus to the Ossiam Europe ESG Machine Learning UCITS ETF 1C (EUR).
Similar ETFs via ETF search
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How do you like our ETF profile? Here you'll find our Questionnaire.
Holdings
Below you find information about the composition of the Ossiam Europe ESG Machine Learning UCITS ETF 1C (EUR).
Top 10 Holdings
Weight of top 10 holdings
out of 89
30.78%
| Orange SA | 4.17% |
| Iberdrola SA | 4.00% |
| Sanofi | 3.88% |
| ENGIE SA | 3.75% |
| Sampo Oyj | 2.92% |
| Kone Oyj | 2.73% |
| Royal KPN NV | 2.41% |
| ASML Holding NV | 2.33% |
| BT Group Plc | 2.30% |
| Crédit Agricole SA | 2.29% |
As of 29/05/2026
Performance
Returns overview
| YTD | +5.04% |
| 1 month | +0.63% |
| 3 months | -0.49% |
| 6 months | +3.61% |
| 1 year | +6.99% |
| 3 years | +45.20% |
| 5 years | +35.94% |
| Since inception (MAX) | +205.01% |
| 2025 | +18.31% |
| 2024 | +9.16% |
| 2023 | +4.92% |
| 2022 | -10.02% |
Monthly returns in a heat map
Risk
Risk metrics in this section:
- Volatility, annualised, measured for 1, 3 and 5 year periods. The annualised volatility reflects the degree of price fluctuations during a one year period. The higher the volatility, the more significantly the price of the asset (stock, ETF, etc.) has changed in the past. Assets with higher volatility are generally considered more risky. We calculate the volatility based on the data for the past 1, 3 and 5 years so that you can see if price fluctuations for the ETF became stronger or weaker over time.
- Return per risk for 1, 3 and 5 year periods. This is the annualised (i.e. converted to a one year period) past return divided by the past annualised volatility. The metric puts the historical return of an asset in relation to its historical risk and gives you a retrospective indication of the degree of price fluctuation you had to bear with in order to obtain the return. We calculate this parameter for 1, 3 and 5 year periods to display its evolution over time.
- Maximum drawdown for a period. This shows the worst possible loss an investor could have suffered during the respective period, by first buying and subsequently selling the asset at the least favourable prices. For example, if there was the following sequence of daily ETF prices: 10€, 5€, 12€, 20€, an investor would have suffered the worst loss by buying for 10€ and subsequently selling for 5€. Therefore in this case the maximum drawdown would be (5€ - 10€)/10€ = -50%.
Risk overview
| Volatility 1 year | 9.97% |
| Volatility 3 years | 10.50% |
| Volatility 5 years | 11.51% |
| Return per risk 1 year | 0.70 |
| Return per risk 3 years | 1.26 |
| Return per risk 5 years | 0.55 |
| Maximum drawdown 1 year | -9.24% |
| Maximum drawdown 3 years | -9.74% |
| Maximum drawdown 5 years | -17.99% |
| Maximum drawdown since inception | -24.01% |
Rolling 1 year volatility
Stock exchange
Listings
| Listing | Trade Currency | Ticker | Bloomberg / iNAV Bloomberg Code | Reuters RIC / iNAV Reuters | Market Maker |
|---|---|---|---|---|---|
| gettex | EUR | OSX4 | - - | - - | - |
| Stuttgart Stock Exchange | EUR | OSX4 | - - | - - | - |
| Borsa Italiana | EUR | EUMV | IEUMV | .IEUMV | BNP PARIBAS |
| Borsa Italiana | EUR | - | EUMV IM IEUMV | EUMV.MI OSX4EURINAV | BNP PARIBAS |
| London Stock Exchange | GBX | LEMV | LEMV LN IEUMV | LEMV.L OSX4EURINAV | BNP PARIBAS |
| London Stock Exchange | GBP | - | LEMV LN IEUMV | LEMV.L OSX4EURINAV | BNP PARIBAS |
| London Stock Exchange | EUR | EUMV | EUMV LN IEUMV | EUMV.L OSX4EURINAV | BNP PARIBAS |
| SIX Swiss Exchange | EUR | EUMV | EUMV SE IEUMV | EUMV.S OSX4EURINAV | BNP PARIBAS |
| XETRA | EUR | OSX4 | OSX4 GY IEUMV | OSX4.DE OSX4EURINAV | BNP PARIBAS |
Further information
Further ETFs with similar investment focus
| Fund name | Fund Size in m € (AuM) | TER p.a. | Distribution | Replication |
|---|---|---|---|---|
| iShares MSCI Europe CTB Enhanced ESG UCITS ETF EUR (Dist) | 4,810 | 0.12% p.a. | Distributing | Sampling |
| iShares MSCI Europe Screened UCITS ETF EUR (Acc) | 4,662 | 0.12% p.a. | Accumulating | Sampling |
| BNP Paribas Easy MSCI Europe Min TE UCITS ETF | 3,417 | 0.15% p.a. | Accumulating | Full replication |
| iShares MSCI Europe SRI UCITS ETF (Acc) | 3,267 | 0.20% p.a. | Accumulating | Full replication |
| Amundi S&P Eurozone Climate Paris Aligned UCITS ETF Acc | 2,725 | 0.20% p.a. | Accumulating | Full replication |
Latest articles
Frequently asked questions
What is the name of LEMV?
The name of LEMV is Ossiam Europe ESG Machine Learning UCITS ETF 1C (EUR).
What is the ticker of Ossiam Europe ESG Machine Learning UCITS ETF 1C (EUR)?
The primary ticker of Ossiam Europe ESG Machine Learning UCITS ETF 1C (EUR) is LEMV.
What is the ISIN of Ossiam Europe ESG Machine Learning UCITS ETF 1C (EUR)?
The ISIN of Ossiam Europe ESG Machine Learning UCITS ETF 1C (EUR) is LU0599612842.
What are the costs of Ossiam Europe ESG Machine Learning UCITS ETF 1C (EUR)?
The total expense ratio (TER) of Ossiam Europe ESG Machine Learning UCITS ETF 1C (EUR) amounts to 0.65% p.a.. These costs are withdrawn continuously from the fund assets and already included in the performance of the ETF. You don't have to pay them separately. Please have a look at our article for more information about the cost of ETFs.
Is Ossiam Europe ESG Machine Learning UCITS ETF 1C (EUR) paying dividends?
Ossiam Europe ESG Machine Learning UCITS ETF 1C (EUR) is an accumulating ETF. This means that dividends are not distributed to investors. Instead, dividends are reinvested in the fund on the ex-date, which leads to an increase of the ETF's share price.
What's the fund size of Ossiam Europe ESG Machine Learning UCITS ETF 1C (EUR)?
The fund size of Ossiam Europe ESG Machine Learning UCITS ETF 1C (EUR) is 14m GBP. See the following article for more information about the size of ETFs.
— Data provided by Trackinsight, etfinfo, Xignite Inc., gettex, FactSet and justETF GmbH. Quotes are either real-time (gettex) or 15 minutes delayed stock exchange quotes or NAVs (daily published by the fund provider). By default, ETF returns include dividend payments (if applicable). There is no warranty for completeness, accuracy and correctness for the displayed information.