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ETF Actief beheerde strategie
TER
0,65% p.a.
Distributiebeleid
Accumulerend
Replicatie
Fysiek
Fondsgrootte
EUR 17 m
Startdatum
3 februari 2012
Bedrijven
93
Overzicht
Beschrijving
De Ossiam Europe ESG Machine Learning UCITS ETF 1C (EUR) is een actief beheerde 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.
Grafiek
Basis
Data
| Index | Ossiam Europe ESG Machine Learning |
| Investeringsfocus | Equity, Europe, Social/Environmental |
| Fondsgrootte | EUR 17 m |
| Totale kostenratio (TER) | 0.65% p.a. |
| Replicatie | Fysiek (Volledige replicatie) |
| Juridische structuur | ETF |
| Beleggingsaanpak | Actief beheerd |
| Duurzaamheid | Yes |
| Valuta van het fonds | EUR |
| Valutarisico | Valuta niet gedekt |
| Volatiliteit 1 jaar (in EUR) | 9.71% |
| Startdatum/Noteringsdatum | 3 February 2012 |
| Distributiebeleid | Accumulerend |
| Distributiefrequentie | - |
| Vestigingsplaats van het fonds | Luxembourg |
| Fondsaanbieder | Ossiam |
| Fondsstructuur | Company With Variable Capital (SICAV) |
| UCITS-conformiteit | Yes |
| Administrateur | State Street Bank International GmbH, Luxembourg Branch |
| Beleggingsadviseur | |
| Bewaarbank | State Street Bank International GmbH, Luxembourg Branch |
| Revisiebedrijf | Deloitte Audit S.A.R.L |
| Einde belastingjaar | 31 December |
| Vertegenwoordiger van Zwitserland | CACEIS Bank, Montrouge, Zurich Branch / Switzerland, Bleicherweg |
| Zwitserse uitbetalende instantie | CACEIS Bank, Montrouge, Zurich Branch / Switzerland, Bleicherweg |
| Duitsland | Unknown |
| Zwitserland | ESTV Reporting |
| Oostenrijk | Tax Reporting Fund |
| UK | UK Reporting |
| Italië | 26.0% |
| Indextype | Totale rendementsindex |
| Swap tegenpartij | Morgan Stanley Europe SE |
| Collateral manager | State Street Bank |
| Effectenlening | No |
| Tegenpartij die effecten uitleent |
Vergelijkbare ETF
In dit gedeelte vind je informatie over andere ETF met een vergelijkbare beleggingsfocus als de Ossiam Europe ESG Machine Learning UCITS ETF 1C (EUR)
Vergelijkbare ETF via ETF zoeken
Vergelijkbare ETF via beleggingsgidsen
Wat vind je van ons ETF-profiel? Here you'll find our Questionnaire.
Bedrijven
Hieronder vind je informatie over de samenstelling van de Ossiam Europe ESG Machine Learning UCITS ETF 1C (EUR)
Top 10 holdings
Weging van top 10-holdings
van 93
31,32%
| Legrand SA | 3,94% |
| Air Liquide SA | 3,80% |
| Iberdrola SA | 3,80% |
| Orange SA | 3,59% |
| ENGIE SA | 3,57% |
| Sampo Oyj | 2,84% |
| Kone Oyj | 2,69% |
| Deutsche Börse AG | 2,63% |
| CaixaBank SA | 2,27% |
| Philips | 2,19% |
Vanaf 28/08/2026
Prestaties
Rendementsoverzicht
| YTD | +5,79% |
| 1 maand | -2,25% |
| 3 maanden | -1,84% |
| 6 maanden | +2,25% |
| 1 jaar | +7,70% |
| 3 jaar | +44,54% |
| 5 jaar | +34,19% |
| Since inception | +211,99% |
| 2025 | +12,36% |
| 2024 | +14,41% |
| 2023 | +7,08% |
| 2022 | -14,75% |
Maandelijks rendement in een heat map
Risico
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%.
Risico-overzicht
| Volatiliteit 1 jaar | 9,71% |
| Volatiliteit 3 jaar | 10,49% |
| Volatiliteit 5 jaar | 11,15% |
| Rendement/Risico 1 jaar | 0,79 |
| Rendement/Risico 3 jaar | 1,24 |
| Rendement/Risico 5 jaar | 0,54 |
| Maximaal waardedaling 1 jaar | -7,97% |
| Maximaal waardedaling 3 jaar | -12,48% |
| Maximaal waardedaling 5 jaar | -20,43% |
| Maximaal waardedaling sinds aanvang | -31,01% |
Voortschrijdende volatiliteit over 1 jaar
Beurs
Beursnoteringen
| Beursnotering | Handelsvaluta | 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) | 5,012 | 0.12% p.a. | Distributing | Sampling |
| UBS MSCI EMU Socially Responsible UCITS ETF EUR dis | 733 | 0.20% p.a. | Distributing | Full replication |
| iShares MSCI EMU Paris-Aligned Climate UCITS ETF EUR (Dist) | 670 | 0.15% p.a. | Distributing | Full replication |
| iShares MSCI EMU Screened UCITS ETF EUR (Dist) | 621 | 0.12% p.a. | Distributing | Full replication |
| iShares MSCI Europe Screened UCITS ETF EUR (Dist) | 482 | 0.12% p.a. | Distributing | Sampling |
Nieuwste artikelen
Veelgestelde vragen
What is the name of OSX4?
The name of OSX4 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 OSX4.
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 17m Euro. See the following article for more information about the size of ETFs.
— Gegevens verstrekt door Trackinsight, etfinfo, Xignite Inc., gettex, FactSet en justETF GmbH.
Standaard zijn ETF-rendementen inclusief dividenduitkeringen (indien van toepassing). Er is geen garantie voor de volledigheid, juistheid en correctheid van de getoonde informatie.