Ossiam is a specialist asset management company headquartered in Paris and affiliated to Natixis Investment Managers S.A. Ossiam develops and manages investment funds, including ETFs, based on systematic investment processes. Ossiam funds use alternatively weighted indexes - also known as alternative beta or smart beta - applied to multiple financial asset classes.
Natixis Investment Managers serves financial professionals with more insightful ways to construct portfolios. Powered by the expertise of more than 20 specialized investment managers globally, we apply Active Thinking® to deliver proactive solutions that help clients pursue better outcomes in all markets.
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Ossiam's added value lies in the development of non-discretionary management styles, based on quantitative and fundamental analysis. Investment strategies are available through Collective Investment Schemes and/or segregated accounts to meet the various allocation and risk management requirements of investors.
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The Research and Development function of the management team is supported by an innovative structure, which offers an external and objective opinion in its investment management approach .
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Ossiam has won several awards for its innovative range of products and its contribution to the development of the ETF industry.
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Ossiam’s management team is composed of recognised professionals who have come from investment banks and asset management companies. They bring together complementary expertise covering the areas of asset management, ETFs, fund structuring, quantitative research and financial analysis, market and operational risk control and trading of all asset classes.
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Ossiam's philosophy is to offer systematic investment strategies that will be implemented via transparent rule-based indexes (calculated by independent index providers) and an easy to trade investment vehicle such as ETFs, any other type of Collective Investment Schemes or segregated accounts.
The minimum Variance strategy is an investment approach that aims at addressing the objective of enhancing equity portfolio efficiency and diversification while mitigating volatility. The approach uses the principle of portfolio optimization introduced by Harry Markowitz.The strategy forecasts future level of risk associated with different stock combinations and integrates this information to construct a lower-risk fully invested portfolio.
Equity Equal Weight indices aim to provide investors with a more diversified exposure to a given stock market, avoiding domination of a small group of stocks in the index (concentration effect). The indices attribute the same weight to each of their constituents. By doing so, the strategy seeks to avoid concentration and trend following bias of market-cap indices and bias towards large companies.
Commodity investments offer a way to potentially gain enhanced portfolio diversification, a protection against inflation, and equity-like returns. Commodities remain an important asset class in its own right. A risk weighted enhanced commodity strategy aims to offer exposure to the asset class with better participation from all commodity sectors (avoiding concentration in oil) and a more efficient risk allocation in a global portfolio.
The strategy offers equity exposure through a sector selection approach based on the Cyclically Adjusted Price-to-Earnings (CAPE®) ratio to select under valued sectors of a specific market (US or Europe). Robert Shiller, with his graduate student John Campbell, devised the original CAPE® ratio in 1988. The CAPE ratio is a widely used valuation metric providing a view on equities being over- or under-valued. The strategy is designed to offer large cap equity market exposure with a value bias, and are intended for buy-and-hold investors with a multi-year time horizon.
The Global Multi-Asset Risk-Control strategy aims to provide a long exposure on a combination of a “Risky Assets Portfolio” and a “Cash Portfolio”.
The Risky Assets Portfolio comprises ETFs providing exposure to Western equities, Western treasury bonds, emerging markets (equities and bonds), corporate bonds, commodities, and real estate.
The underlying ETF constituents of the Risky Assets Portfolio are weighted in accordance with the principles of a mean-variance optimization so as to maximize the expected return while minimizing the expected volatility of the portfolio.
The Cash Portfolio comprises money market ETFs, which track the EONIA (Euro OverNight Index Average).
The strategy selects bonds by applying Moody’s Analytics’ public-firm EDF™ (Expected Default Frequency) credit measures, which are forward-looking, point-in-time default probabilities. These measures are based on information from equity markets and are combined with a detailed picture of a company's capital structure. Moody’s Analytics combines EDF metrics with other inputs to produce a credit spread valuation framework, known as FVS (Fair Value Spreads). EDF and FVS enable investors to gain exposure to the high quality corporate sector using a cost-efficient and liquid method.
The ESG Low Carbon Shiller Barclays CAPE® US Sector strategy aims to deliver a risk/return profile similar to the Shiller Barclays CAPE® US Sector Value index, but with a significantly reduced carbon footprint and improved ESG profile.
The World ESG Machine Learning strategy aims to deliver improved risk adjusted returns from global developed equity markets by using machine learning to identify patterns between the company ESG (Environment, Social, Governance) profile and financial performance. The stock selection is reassessed over time as the algorithm learns from new ESG information.
The US ESG Low Carbon Equity Factors strategy aims to deliver the net total return of a selection of listed US equities assessed on the basis of their ESG (Environment, Social, Governance) characteristics and exposure to equity factors (Momentum, Size, Value and Volatility).
The Ossiam US Steepener Strategy aims at replicating the performance of the Solactive US Treasury Yield Curve Steepener 2-5 vs 10-30 Index, a buyer/seller trading strategy on US Treasury futures, designed to benefit from a potential increase in the slope of the US interest rates, or yield curve, while limiting the portfolio sensitivity to a parallel shift of the yield curve..
The objective of the Ossiam Euro Government Bonds 3-5Y Carbon Reduction strategy is to replicate, before fees and expenses, the performance of the ICE 3-5 Year Euro Government Carbon Reduction Index. The index is composed of a selection of EUR denominated sovereign bonds with a remaining maturity greater than 3 years and less than 5 years, publicly issued by Eurozone country members.
By 2050, the world will have a population of 10 bn inhabitants to feed. The way food is being produced at the moment would make such a need unsustainable in terms of climate pressure and biodiversity destruction. According to the WEF Global Risk Report 2020, the decline in biodiversity threatens 80% of the UN Sustainable Development Goal targets related to poverty, hunger, health, water, cities, climate, oceans and land, leading to potentially dramatic political tensions. This is the reason why Ossiam decided to tackle the Biodiversity issue on Food production, through the launch of the first strategy centered on reducing the Biodiversity footprint of the extended food sector. To launch this innovative process, Ossiam uses Mean Species Abundance measures at company level from Iceberg Datalab.
Ossiam's philosophy is to offer systematic investment strategies that will be implemented via transparent rule-based indexes (calculated by independent index providers) and an easy to trade investment vehicle such as ETFs, any other type of Collective Investment Schemes or segregated accounts.
Our professional experience allows us to develop a diversified product range using systematic management technics. This offer covers management styles, based on quantitative and fundamental analysis. ETFs below are listed on Xetra.
The minimum Variance strategy is an investment approach that aims at addressing the objective of enhancing equity portfolio efficiency and diversification while mitigating volatility. The approach uses the principle of portfolio optimization introduced by Harry Markowitz.The strategy forecasts future level of risk associated with different stock combinations and integrates this information to construct a lower-risk fully invested portfolio.
Fund name | ISIN Code | 1Y Performance |
Ossiam US Minimum Variance ESG NR UCITS ETF 1A (USD) | IE00BHNGHW42 | 3.85% |
Ossiam US Minimum Variance ESG NR UCITS ETF 1A (EUR) | IE00BHNGHX58 | -5.42% |
OSSIAM iSTOXX® EUROPE MINIMUM VARIANCE NR UCITS ETF 1C (EUR) | LU0599612842 | 0.90% |
OSSIAM EMERGING MARKETS MINIMUM VARIANCE NR UCITS ETF 1C (USD) | LU0705291812 | 3.22% |
OSSIAM EMERGING MARKETS MINIMUM VARIANCE NR UCITS ETF 1C (EUR) | LU0705291903 | -5.98% |
OSSIAM JAPAN MINIMUM VARIANCE NR UCITS ETF 1C (EUR) | LU1254453738 | 3.05% |
Ossiam US Minimum Variance ESG NR UCITS ETF 1D (USD) | IE00BHNGHY65 | 3.05% |
Fund name | ISIN Code | Bloomberg tickers | Date | NAV | Share class AUM | Fund AUM | 1Y Performance |
Ossiam US Minimum Variance ESG NR UCITS ETF 1A (USD) | IE00BHNGHW42 | 21/01/27 | 250.137$ | 79 367 346$ | 212 550 362$ | 3.85% | |
Ossiam US Minimum Variance ESG NR UCITS ETF 1A (EUR) | IE00BHNGHX58 | OSX2 GY | 21/01/27 | 206.876€ | 109 120 908€ | 175 792 211€ | -5.42% |
OSSIAM iSTOXX® EUROPE MINIMUM VARIANCE NR UCITS ETF 1C (EUR) | LU0599612842 | OSX4 GY | 21/01/27 | 199.012€ | 110 223 674€ | 199 660 418€ | 0.90% |
OSSIAM EMERGING MARKETS MINIMUM VARIANCE NR UCITS ETF 1C (USD) | LU0705291812 | 21/01/27 | 128.003$ | 2 830 913$ | 120 678 536$ | 3.22% | |
OSSIAM EMERGING MARKETS MINIMUM VARIANCE NR UCITS ETF 1C (EUR) | LU0705291903 | OSX9 GY | 21/01/27 | 105.890€ | 97 467 173€ | 99 808 565€ | -5.98% |
OSSIAM JAPAN MINIMUM VARIANCE NR UCITS ETF 1C (EUR) | LU1254453738 | OSXJ GY | 21/01/27 | 114.458€ | 9 303 158€ | 9 303 163€ | 3.05% |
Ossiam US Minimum Variance ESG NR UCITS ETF 1D (USD) | IE00BHNGHY65 | 21/01/27 | 230.541$ | 1 248 150$ | 212 550 362$ | 3.05% |
Equity Equal Weight indices aim to provide investors with a more diversified exposure to a given stock market, avoiding domination of a small group of stocks in the index (concentration effect). The indices attribute the same weight to each of their constituents. By doing so, the strategy seeks to avoid concentration and trend following bias of market-cap indices and bias towards large companies.
Fund name | ISIN Code | 1Y Performance |
OSSIAM STOXX® EUROPE 600 EQUAL WEIGHT NR UCITS ETF 1C (EUR) | LU0599613147 | 3.30% |
Fund name | ISIN Code | Bloomberg tickers | Date | NAV | Share class AUM | Fund AUM | 1Y Performance |
OSSIAM STOXX® EUROPE 600 EQUAL WEIGHT NR UCITS ETF 1C (EUR) | LU0599613147 | OSX6 GY | 21/01/27 | 103.757€ | 276 834 851€ | 276 834 851€ | 3.30% |
Commodity investments offer a way to potentially gain enhanced portfolio diversification, a protection against inflation, and equity-like returns. Commodities remain an important asset class in its own right. A risk weighted enhanced commodity strategy aims to offer exposure to the asset class with better participation from all commodity sectors (avoiding concentration in oil) and a more efficient risk allocation in a global portfolio.
Fund name | ISIN Code | 1Y Performance |
OSSIAM RISK WEIGHTED ENHANCED COMMODITY EX. GRAINS TR UCITS ETF 1C (EUR) | LU0876440578 | -3.79% |
Fund name | ISIN Code | Bloomberg tickers | Date | NAV | Share class AUM | Fund AUM | 1Y Performance |
OSSIAM RISK WEIGHTED ENHANCED COMMODITY EX. GRAINS TR UCITS ETF 1C (EUR) | LU0876440578 | OSXC GY | 21/01/27 | 69.100€ | 9 794 954€ | 10 575 779€ | -3.79% |
The strategy offers equity exposure through a sector selection approach based on the Cyclically Adjusted Price-to-Earnings (CAPE®) ratio to select under valued sectors of a specific market (US or Europe). Robert Shiller, with his graduate student John Campbell, devised the original CAPE® ratio in 1988. The CAPE ratio is a widely used valuation metric providing a view on equities being over- or under-valued. The strategy is designed to offer large cap equity market exposure with a value bias, and are intended for buy-and-hold investors with a multi-year time horizon.
Fund name | ISIN Code | 1Y Performance |
OSSIAM SHILLER BARCLAYS CAPE® EUROPE SECTOR VALUE TR UCITS ETF 1C (EUR) | LU1079842321 | 5.71% |
OSSIAM SHILLER BARCLAYS CAPE® US SECTOR VALUE TR UCITS ETF 1C (EUR) | LU1079841273 | 7.04% |
OSSIAM SHILLER BARCLAYS CAPE® US SECTOR VALUE TR UCITS ETF 1C (USD) | LU1079841513 | 17.51% |
OSSIAM SHILLER BARCLAYS CAPE® US SECTOR VALUE TR UCITS ETF Hedged Index 1C (EUR) | LU1446552652 | 14.72% |
Fund name | ISIN Code | Bloomberg tickers | Date | NAV | Share class AUM | Fund AUM | 1Y Performance |
OSSIAM SHILLER BARCLAYS CAPE® EUROPE SECTOR VALUE TR UCITS ETF 1C (EUR) | LU1079842321 | EUPE GY | 21/01/27 | 372.884€ | 38 654 234€ | 38 654 234€ | 5.71% |
OSSIAM SHILLER BARCLAYS CAPE® US SECTOR VALUE TR UCITS ETF 1C (EUR) | LU1079841273 | USCP GY | 21/01/27 | 767.491€ | 472 550 502€ | 1 625 203 557€ | 7.04% |
OSSIAM SHILLER BARCLAYS CAPE® US SECTOR VALUE TR UCITS ETF 1C (USD) | LU1079841513 | 21/01/27 | 927.693$ | 1 189 210 384$ | 1 965 033 620$ | 17.51% | |
OSSIAM SHILLER BARCLAYS CAPE® US SECTOR VALUE TR UCITS ETF Hedged Index 1C (EUR) | LU1446552652 | 21/01/27 | 731.112€ | 169 102 640€ | 1 625 203 557€ | 14.72% |
The Global Multi-Asset Risk-Control strategy aims to provide a long exposure on a combination of a “Risky Assets Portfolio” and a “Cash Portfolio”.
The Risky Assets Portfolio comprises ETFs providing exposure to Western equities, Western treasury bonds, emerging markets (equities and bonds), corporate bonds, commodities, and real estate.
The underlying ETF constituents of the Risky Assets Portfolio are weighted in accordance with the principles of a mean-variance optimization so as to maximize the expected return while minimizing the expected volatility of the portfolio.
The Cash Portfolio comprises money market ETFs, which track the EONIA (Euro OverNight Index Average).
Fund name | ISIN Code | 1Y Performance |
OSSIAM GLOBAL MULTI-ASSET RISK-CONTROL UCITS ETF 1C (EUR) | LU1446552496 | -1.15% |
Fund name | ISIN Code | Bloomberg tickers | Date | NAV | Share class AUM | Fund AUM | 1Y Performance |
OSSIAM GLOBAL MULTI-ASSET RISK-CONTROL UCITS ETF 1C (EUR) | LU1446552496 | OSXM GY | 21/01/27 | 283.167€ | 103 802 621€ | 103 802 621€ | -1.15% |
The strategy selects bonds by applying Moody’s Analytics’ public-firm EDF™ (Expected Default Frequency) credit measures, which are forward-looking, point-in-time default probabilities. These measures are based on information from equity markets and are combined with a detailed picture of a company's capital structure. Moody’s Analytics combines EDF metrics with other inputs to produce a credit spread valuation framework, known as FVS (Fair Value Spreads). EDF and FVS enable investors to gain exposure to the high quality corporate sector using a cost-efficient and liquid method.
Fund name | ISIN Code | 1Y Performance |
OSSIAM SOLACTIVE MOODY'S ANALYTICS IG EUR Select Credit UCITS ETF 1C (EUR) | LU1093307442 | 2.56% |
Fund name | ISIN Code | Bloomberg tickers | Date | NAV | Share class AUM | Fund AUM | 1Y Performance |
OSSIAM SOLACTIVE MOODY'S ANALYTICS IG EUR Select Credit UCITS ETF 1C (EUR) | LU1093307442 | OSXF | 21/01/27 | 192.873€ | 53 852 145€ | 53 852 145€ | 2.56% |
The ESG Low Carbon Shiller Barclays CAPE® US Sector strategy aims to deliver a risk/return profile similar to the Shiller Barclays CAPE® US Sector Value index, but with a significantly reduced carbon footprint and improved ESG profile.
Fund name | ISIN Code | 1Y Performance |
Ossiam ESG Low Carbon Shiller Barclays CAPE® US Sector UCITS ETF 1A (USD) | IE00BF92LR56 | 22.09% |
Ossiam ESG Low Carbon Shiller Barclays CAPE® US Sector UCITS ETF 1A (EUR) | IE00BF92LV92 | 11.19% |
Fund name | ISIN Code | Bloomberg tickers | Date | NAV | Share class AUM | Fund AUM | 1Y Performance |
Ossiam ESG Low Carbon Shiller Barclays CAPE® US Sector UCITS ETF 1A (USD) | IE00BF92LR56 | 5HED GY | 21/01/27 | 98.668$ | 103 180 306$ | 297 891 828$ | 22.09% |
Ossiam ESG Low Carbon Shiller Barclays CAPE® US Sector UCITS ETF 1A (EUR) | IE00BF92LV92 | 5HEE GY | 21/01/27 | 81.560€ | 161 042 329€ | 246 374 847€ | 11.19% |
The World ESG Machine Learning strategy aims to deliver improved risk adjusted returns from global developed equity markets by using machine learning to identify patterns between the company ESG (Environment, Social, Governance) profile and financial performance. The stock selection is reassessed over time as the algorithm learns from new ESG information.
Fund name | ISIN Code | 1Y Performance |
Ossiam World ESG Machine Learning UCITS ETF 1A (EUR) | IE00BF4Q4063 | -3.24% |
Ossiam World ESG Machine Learning UCITS ETF 1A (USD) | IE00BF4Q3545 | 6.26% |
Fund name | ISIN Code | Bloomberg tickers | Date | NAV | Share class AUM | Fund AUM | 1Y Performance |
Ossiam World ESG Machine Learning UCITS ETF 1A (EUR) | IE00BF4Q4063 | OWLE GY | 21/01/27 | 117.079€ | 40 695 666€ | 80 528 405€ | -3.24% |
Ossiam World ESG Machine Learning UCITS ETF 1A (USD) | IE00BF4Q3545 | OWLU GY | 21/01/27 | 124.888$ | 48 162 967$ | 97 366 895$ | 6.26% |
The US ESG Low Carbon Equity Factors strategy aims to deliver the net total return of a selection of listed US equities assessed on the basis of their ESG (Environment, Social, Governance) characteristics and exposure to equity factors (Momentum, Size, Value and Volatility).
Fund name | ISIN Code | 1Y Performance |
Ossiam US ESG Low Carbon Equity Factors UCITS ETF 1A (EUR) | IE00BJBLDK52 | 9.64% |
Ossiam US ESG Low Carbon Equity Factors UCITS ETF 1A (USD) | IE00BJBLDJ48 | 20.37% |
Fund name | ISIN Code | Bloomberg tickers | Date | NAV | Share class AUM | Fund AUM | 1Y Performance |
Ossiam US ESG Low Carbon Equity Factors UCITS ETF 1A (EUR) | IE00BJBLDK52 | 21/01/27 | 121.637€ | 10 156 714€ | 102 341 791€ | 9.64% | |
Ossiam US ESG Low Carbon Equity Factors UCITS ETF 1A (USD) | IE00BJBLDJ48 | 21/01/27 | 131.557$ | 111 461 277$ | 123 741 460$ | 20.37% |
The Ossiam US Steepener Strategy aims at replicating the performance of the Solactive US Treasury Yield Curve Steepener 2-5 vs 10-30 Index, a buyer/seller trading strategy on US Treasury futures, designed to benefit from a potential increase in the slope of the US interest rates, or yield curve, while limiting the portfolio sensitivity to a parallel shift of the yield curve..
Fund name | ISIN Code | 1Y Performance |
OSSIAM US STEEPENER UCITS ETF 1C (USD) | LU1965301184 | 2.91% |
OSSIAM US STEEPENER 2C (USD) | LU1991353761 | 2.91% |
Fund name | ISIN Code | Bloomberg tickers | Date | NAV | Share class AUM | Fund AUM | 1Y Performance |
OSSIAM US STEEPENER UCITS ETF 1C (USD) | LU1965301184 | 21/01/27 | 131.311$ | 49 955 626$ | 205 886 767$ | 2.91% | |
OSSIAM US STEEPENER 2C (USD) | LU1991353761 | 21/01/27 | 131.757$ | 155 931 141$ | 205 886 767$ | 2.91% |
The objective of the Ossiam Euro Government Bonds 3-5Y Carbon Reduction strategy is to replicate, before fees and expenses, the performance of the ICE 3-5 Year Euro Government Carbon Reduction Index. The index is composed of a selection of EUR denominated sovereign bonds with a remaining maturity greater than 3 years and less than 5 years, publicly issued by Eurozone country members.
Fund name | ISIN Code | 1Y Performance |
OSSIAM EURO GOVERNMENT BONDS 3-5Y CARBON REDUCTION UCITS ETF 1C (EUR) | LU2069380306 |
Fund name | ISIN Code | Bloomberg tickers | Date | NAV | Share class AUM | Fund AUM | 1Y Performance |
OSSIAM EURO GOVERNMENT BONDS 3-5Y CARBON REDUCTION UCITS ETF 1C (EUR) | LU2069380306 | 21/01/27 | 207.219€ | 225 139 058€ | 225 139 058€ |
By 2050, the world will have a population of 10 bn inhabitants to feed. The way food is being produced at the moment would make such a need unsustainable in terms of climate pressure and biodiversity destruction. According to the WEF Global Risk Report 2020, the decline in biodiversity threatens 80% of the UN Sustainable Development Goal targets related to poverty, hunger, health, water, cities, climate, oceans and land, leading to potentially dramatic political tensions. This is the reason why Ossiam decided to tackle the Biodiversity issue on Food production, through the launch of the first strategy centered on reducing the Biodiversity footprint of the extended food sector. To launch this innovative process, Ossiam uses Mean Species Abundance measures at company level from Iceberg Datalab.
Fund name | ISIN Code | 1Y Performance |
Ossiam Food for Biodiversity UCITS ETF 1A (USD) | IE00BN0YSJ74 | |
Ossiam Food for Biodiversity UCITS ETF 1A (EUR) | IE00BN0YSK89 |
Fund name | ISIN Code | Bloomberg tickers | Date | NAV | Share class AUM | Fund AUM | 1Y Performance |
Ossiam Food for Biodiversity UCITS ETF 1A (USD) | IE00BN0YSJ74 | 21/01/27 | 99.836$ | 8 110 175$ | 24 474 498$ | ||
Ossiam Food for Biodiversity UCITS ETF 1A (EUR) | IE00BN0YSK89 | 21/01/27 | 101.505€ | 13 534 632€ | 20 241 914€ |
You can access through the library to articles, publications, reports and marketing and legal documents.
You can access through the library to articles, publications, reports and marketing and legal documents.
You will find here the latest KIIDs and prospectus as well as annual and semi-annual reports.
In this section you will find the latest monthly factsheets and the latest fund profiles.
Voting policy
Ossiam's Voting Policy is available at the bottom of this page. This policy describes the conditions under which Ossiam plans to exercise the voting rights granted by the holding of the securities in the funds it manages. The 2019 Annual Report on Voting Rights is also available on this page.
Download the 2019 annual report on voting rights
Compensation policy
Ossiam has designed and implemented a compensation policy that is consistent with, and promotes, sound and effective risk management, based on its business model that by its nature does not encourage excessive risk taking which would be inconsistent with the risk profile of the UCITS managed by Ossiam. If and where Ossiam identifies those of its staff members whose professional activity has a material impact on the risk profiles of the Funds, it ensures that these staff members comply with the compensation policy. The compensation policy integrates governance, a pay structure that is balanced between fixed and variable components, and risk and long-term performance alignment rules. These alignment rules are designed to be consistent with the interests of Ossiam, the UCITS it manages and the investors, with respect to such considerations as business strategy, objectives, values and interests, and include measures to avoid conflicts of interest. Ossiam ensures that the calculation of a part of the performance-based compensation may be differed over a three year period and subject to the compliance with the risk taking policy of the company. The details of the current compensation policy is available below.
Download the compensation policy
Personal data protection policy
The policy defines the terms and conditions for the processing of personal data by Ossiam.
In case of question/inquiry, you can contact Ossiam Data Protection Officer (DPO) (dpo@ossiam.com)
Download the personal data protection policy
Responsible investment and stewardship policy
Ossiam is committed to being a responsible investor and considering environmental, social and governance (ESG) matters within its investment process. Our responsible investment approach encompasses the beliefs, standards, procedures and activities through which we fulfil our responsibility to our clients as an integral part of managing their assets. Our investment approach and the business processes which put it into operation prioritise high standards of stewardship, clear accountability, striving for best practice and compliance with regulatory standards.
Downloand the responsible and stewardship policy.
Richtlinie zum Beschwerdemanagement
Allgemeine Informationen Ossiam hat ein Beschwerdemanagementsystem eingerichtet, um Kundenbeschwerden auf effiziente, transparente und harmonisierte Weise in Übereinstimmung mit den geltenden Vorschriften zu bearbeiten.
Der Zugang zur Beschwerdestelle ist kostenlos, und Kunden können ihre Beschwerde entweder (i) in Französisch, Englisch oder (ii) in der Amtssprache oder einer der Amtssprachen des Mitgliedstaates einreichen, in dem der OGAW vertrieben wird oder in dem die Dienstleistung erbracht wird.
Definition
Die Kundenbeschwerde ist der Ausdruck einer Unzufriedenheit (oder Enttäuschung), die ein Kunde einer Organisation (Firma, ...) zuschreibt und um Behandlung (ohne Wiederholung) bittet. Es handelt sich dabei um finanzielle Konsequenzen (potentiell oder erwiesen) oder um ein Reputationsrisiko, um einen Anspruch auf finanzielle Entschädigung oder eine konsequente Zahlung wegen Nichteinhaltung einer gesetzlichen oder behördlichen Verpflichtung. Ein Anspruch wird bei Ossiam geltend gemacht, wenn:
Behandlung von Beschwerden durch Ossiam
Die Beschwerde kann per Post, Telefon oder E-Mail oder bei der üblichen Kontaktperson des Kunden eingereicht werden. Kundenbeschwerden per Post sind an: Ossiam - Handelsabteilung, 80 Avenue de la Grande Armée - 75017 Paris. Telefonische Kundenbeschwerden werden auf den Nummern der Mitglieder des Verkaufsteams aufgezeichnet. Kundenbeschwerden per E-Mail sollten an folgende Adresse gesendet werden: info@ossiam.com
Bearbeitungszeiten für Kundenbeschwerden
Ossiam hat sich verpflichtet:
In the below table, you will find the latest rebalancing reports of the indices/strategy that Ossiam ETFs replicate.
Index / Strategy | Bloomberg Tickers | Rebalancing frequency | Latest report |
iSTOXX Europe Minimum Variance Index | ISEMVT index | Monthly | Download |
ESG US Minimum Variance Index | ESGUSMVNR Index | Monthly | Download |
Ossiam Emerging Markets Minimum Variance Index | OEMMVNR index | Semi-annually | Download |
Ossiam World Minimum Variance Index | OWMVNR index | Semi-annually | Download |
FTSE 100 Minimum Variance Index | TUKXMV index | Quarterly | Download |
Japan Minimum Variance Index | JPMVNR Index | Monthly | Download |
Global Multi-Asset Risk-Control Index | CBKIGMRC Index | Quarterly | Download |
Ossiam ESG Low Carbon Shiller Barclays CAPE US Sector Strategy | N/A | Monthly | Download |
The below reports detail the Brinson's performance attribution of the indices/strategies replicated by Ossiam ETF versus their benchmark over several periods of time.
Index / strategy | Bloomberg tickers | Report |
iSTOXX Europe Minimum Variance Index | ISEMVT index | Download |
ESG US Minimum Variance Index | ESGUSMVNR Index | Download |
Ossiam Emerging Markets Minimum Variance Index | OEMMVNR index | Download |
Ossiam World Minimum Variance Index | OWMVNR index | Download |
Japan Minimum Variance Index | JPMVNR Index | Download |
Global Multi-Asset Risk-Control Index | CBKIGMRC Index | |
Ossiam ESG Low Carbon Shiller Barclays CAPE US Sector Strategy | N/A | Download |
Shiller Barclays CAPE US Sector Value Index | BXIICUSU Index | Download |
Shiller Barclays CAPE Europe Sector Value Index | BXIICESE Index | Download |
Alpha: A measure of performance on a risk-adjusted basis. Percentage by which the portfolio or smart beta index outperforms (adjusted for risk) the comparable market capitalization weighted index from which the stocks are picked.
Asset allocation: The breakdown of the investments of a portfolio among various asset classes (such as equities, bonds, money market instruments, etc.), built in order to optimize the risk/return ratio of the investor's portfolio, in light of his or her financial situation, investment objective, investment horizon and appetite for risk.
Benchmark: A reference used as a comparison to determine the returns and risk of a portfolio. The benchmark may be an index or a combination of several reference indices.
Beta: The Beta of an investment indicates whether it tends to evolve in the same direction as the market, and in what proportion. Thus, the beta coefficient measures the sensitivity of a portfolio or share to market movements or an index.
Bid/Ask: Bid - Purchase price given or displayed by a market maker on an exchange (or over-the-counter), which corresponds to the sale price for the end investor. Ask - Sale price given or displayed by a market maker on an exchange (or over-the-counter), which corresponds to the purchase price for the end investor. There is usually a difference between the bid price and the ask price for an asset on the order book. This difference is called the spread and varies from one ETF to another. It tends to increase when the volumes being traded are low. One of its drivers is the liquidity of the underlying.
CAPE: CAPE - Cyclically Adjusted Price Earnings. The CAPE ratio is the PER adjusted for cyclical factors. It relates the share price to corporate earnings over the past ten years. Compared to the standard PER, it eliminates short-term fluctuations in earnings, which can distort the picture. Relative CAPE - CAPE standardized to make individual sectors comparable. It is defined as the CAPE® ratio divided by its median in past years. A Relative CAPE® ratio of 1 shows that the current valuation is in line with the long-term average, while figures lower (resp. higher) than 1 point to the sector’s possible undervaluation (resp. overvaluation).
Correlation: Measure for the dependence of the performance of two securities, indices or asset classes on each other. The correlation can be between -1 and 1, whereby 1 means they perform exactly in parallel, -1 that they perform in exactly opposite directions. The closer to 0 the correlation, the more independent the two performances are.
CPPI: Constance Proportion Portfolio Insurance, a method of portfolio insurance in which the investor sets a floor on the currency value of his or her portfolio, then structures asset allocation around that decision. The two asset classes used in CPPI are a risky asset (usually equities or mutual funds), and a riskless asset of either cash, equivalents or Treasury bonds. The percentage allocated to each depends on the "cushion" value, defined as (current portfolio value – floor value), and a multiplier coefficient, where a higher number denotes a more aggressive strategy.
Diversification: Portfolio constrction reducing the exposure to the risk of capital loss by investing in uncorrelated assets at the same time. Diversification therefore consists in distributing an investment among different business sectors, asset classes, geographic regions, etc.
Diversification indices: Indices that focus on broader diversification by an alternative weighting of the securities in the index, for example by weighting all the securities equally.
Gain: Gain generated on the difference between the purchase price of an asset and its subsequent sale price (exclusive of charges and fees paid in connection with the purchase and sale of an asset).
ESG: ESG integration consists of integrating Environmental, Social and Governance (ESG) criteria into the management of investments.
ETF: Exchange Traded Fund that tracks an index. ETFs passively mirror an index, without any active management being involved. Units of ETFs are traded on the exchanges like equities.
Fundamental indices: Indices weighted by fundamental criteria such as dividend yield, price/earnings ratio or other value criteria.
Hedging: Strategy whose objective is to totally or partially offset the risk associated with an investment by making a second transaction that combines long and/or short positions in transferable securities, precisely in order to reduce the risk of the first position. For example, the risk of a long-term position in equities may be offset by the purchase of put options. Thus, investors may limit the impact of a decline in the prices in their portfolio.
Index: Instrument to measure capital markets’ performance. Indices exist for various asset classes (shares, bonds, commodities), countries and regions, and sectors. An index brings together the securities representative of the market to be tracked in line with fixed rules.
Index based on market capitalization: Traditional stock indices where weightings of the individual shares are proportional to their market capitalizations, meaning the share prices multiplied by the number of shares issued, adjusted for free-float. Most of the main stock market indices are compiled using this method.
ISIN (International Securities Identification Number): This unique international identifier is used to distinguish financial instruments, such as shares, bonds, funds, etc. The ISIN code is a unique international alphanumeric code of 12 characters (of which the first two letters identify the country of issue of the security, e.g. FR for France). Shares always keep the same ISIN codes, even if they are traded in different currencies or listed on different markets. Each ETF has its own ISIN code.
KIID (Key Investor Information Document): The KIID is a regulatory document, standardized on a European level, providing investors with key information on a fund in terms of its objectives, risks, performance and costs, so that, when making investment decisions, investors are in a position to understand the nature of the fund and the risks associated with it. This document must be provided to the investor prior to any subscription. Introduced by the European Directive 2009/65/EC of 13 July 2009, this document replaces the simplified prospectus.
Loss: Loss resulting from the difference between the original acquisition price of an asset and its subsequent sale price.
Market Maker or Liquidity provider: A financial institution whose role is to facilitate the trading of financial instruments, including ETFs. During trading hours, the market maker provides quotations for the product on the relevant stock exchange and places bid/offer orders continuously, so that investors can trade their financial instruments (such as ETFs) at any time.
Maximum Drawdown: The maximum drawdown, or "maximum successive loss", is an indicator of the risk of a portfolio chosen on the basis of a certain strategy. The maximum drawdown measures the largest decrease in the value of a portfolio. Precisely, it corresponds to the historical maximum loss incurred by an investor who bought the highest and resold at the lowest, for a fixed period.
NAV / NAV per Share: The Net Asset Value corresponds to the total value of the fund assets. The NAV per Share is the NAV divided by the number of shares in the fund.
OTC – Over-the-counter: A trade which takes place off the exchange directly between two identified parties (counterparties). On an OTC market, market makers seek to provide liquidity for the various assets for which they propose bid and offer prices.
PER (Price/Earnings Ratio) : The PER divides the share price of a company to its earnings per share. The PER serves as a key indicator for how shares are valued. The lower the PER, the more favorably the share is priced on the stock market.
Physical replication: Physical replication consists in holding the securities comprising the replicated index. This replication may be “perfect”, in this case the fund holds all the securities of the index and in the same proportions as in the index. It may also be done through "sampling", in this case the fund holds only part of the securities of the index selected in order to offer performance as close as possible to the performance of the index.
Price return: A “Price Return” index tracks the evolution of prices of its component equities or bonds, without including dividends that may be paid by such equities or coupons in the case of bonds.
Risk-based indices: Indices that use risk measures, such as volatility, to allocate the stocks. In general, risk-based indices seek to systematically reduce volatility compared to a classic index. Examples of risk based indices are minimum variance or risk parity indices.
Share class: Some funds and ETFs have multiple share classes. These may differ by the currency in which they are denominated, the distribution or capitalization of dividends, their costs or minimum tradeable size. Each share class has a unique specific ISIN code.
Sharpe ratio: Indicator for the portfolio’s profitability in relation to the risk taken. Developed by US economist William F. Sharpe, the figure presents the return in excess of a risk-free interest rate divided by the portfolio’s volatility.
Smart beta: Rule-based investment strategies that use an alternative weighting for the securities covered by an index to deliver better risk-adjusted results than the underlying traditional index.
Spread: The difference between the Bid and Ask price of an asset. The spread generally varies depending on supply and demand for a particular asset and on the volume traded (liquidity).
Stock market price: The price of an asset as determined by levels of supply and demand on the stock market. Please note that the stock market price of an ETF may differ from its net asset value (NAV). It will, however, fall within a range based on the indicative Net Asset Value.
Swap (forward swap agreement): An OTC swap agreement between two parties in relation to an exchange to be executed at a future date and at a pre-determined or determinable price. The expiry dates, delivery dates, quantities and contractual terms and conditions for each agreement are standardized. ETFs using synthetic replication methods use swaps: they swap with a counterparty the performance of the assets they hold for the performance of the benchmark index. The mark-to-market value of a swap is equivalent to the amount owed to the ETF by the counterparty (if the value is positive) or owed to the counterparty by the ETF (if the value is negative). In the absence of collateral, the mark-to-market value of the swap represents the counterparty risk. For ETFs, the level of exposure to the swap is subject to regulations, and limited to 10% of the assets per counterparty in the case of UCITS ETFs.
Swap counterparty: Entity with which the Total Return Swap is entered into.
Synthetic replication: For ETFs managed in synthetic replication, the replication of the index is generated by a Total Return Swap, i.e., a swap under which an investment bank (the counterparty) exchanges the performance of the index for another performance. In synthetic replication, there are two types of structures: - Unfunded structures, in which the fund uses its liquidity (generated for subscriptions in the fund) to purchase a basket of securities that it owns and whose performance is exchanged for the performance of the index in accordance with the provisions of the Total Return Swap; - Funded structures in which the fund transfers its cash to the counterparty, in exchange for the final value of the index at swap maturity, in accordance with the provisions of the Total Return Swap.
TER: The TER (Total Expense Ratio) is the sum of annual total management and operating fees billed to a fund relative to its net assets. For OSSIAM ETF funds (the “Funds”), the TER corresponds to the ongoing fees mentioned in the KIID. The ongoing fees represent the expenses deducted from the fund during the course of a year.
Total Return: In the case of “Total Return” indices, dividends paid by the equities (or coupons in the case of bonds) comprising the index are reinvested into the index, unlike a “Price Return” index. In general, an expression referring to the total profitability of an investment that may be expected, i.e., the sum of the capital gain related to selling the securities, and the dividends (or coupons) collected.
Tracking error: A measure of how closely an ETF follows the index to which it is benchmarked. The tracking error shows how the ETF mirrors the index. The lower the figure, the more exact the tracking.
UCITS (Undertakings for Collective Investment in Transferable Securities): European directive aimed at further harmonizing the European financial markets. It proposes a harmonized regulatory framework for European funds and particularly with respect to:
- rules relating to the organization of management companies managing funds,
- eligibility and composition of assets, risk diversification
- disclosures
- authorization for marketing within EU territory, etc.
Various directives have been successively implemented in the European Union.
Value trap: A well known challenge when investing in a value strategy. It refers to the risk taken by investors who opt for ostensibly favorably priced equities or sectors that then take a very long time to bounce back, if they do so at all.
Volatility: A measure of the magnitude of the fluctuations for a security or index across a certain period of time, measured as the standard deviation of returns. It serves as a measure of an investment’s risk.
In this section you will find Ossiam's latest press releases.
For any press enquiries please contact
KERL und CIE Kommunikationsberatung GmbH
Samir Dijkic
Email: s.djikic@kerlundcie.de
Tel.: +49.69.870.021.516
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60486 Frankfurt
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Hard to beat
October 2020
The US equity market is sometimes referred to as the most efficient and over-researched market in the world. It’s an argument that some have linked to the reduced preference for active investing, judging the S&P 500 too difficult for managers to beat consistently over time. Yet a strategy exists that challenges this perception and is not only ESG compliant, low carbon, and based on research by a world-renowned economist, but also, as of September 2020, has no exposure to tech stocks. Haven’t heard of it? Let’s just call it a little-known gem.
Carmine de Franco, Head of Research at Ossiam, reveals the names and numbers behind the firm’s flagship strategy and why its ESG offshoot is proving so popular.
Ossiam was founded in 2009, after the 2007-2008 financial crisis with the mission of providing transparent and non psychologically-biased financial solutions. The company is a subsidiary of Natixis Investment Managers and develops transparent and systematic investment solutions based on quantitative and fundamental analysis. Ossiam’s strategies are embedded in ETFs (Exchanged Traded Funds), index funds, and mandates. We were pioneers in Europe in developing Smart Beta ETFs and now we are pioneers in combining ESG data with quant-based approaches including Artificial Intelligence. The company is a UN PRI (United Nations Principles for Responsible Investment) signatory since April 2016 and a FAIRR signatory since July 2019.