RobecoSAM Global SDG Equities F EUR
Actively contributing towards meeting the SDGs
Every share class of a product invests in the same portfolio of securities and has the same investment objectives and policies. However, their parameters might deviate. For instance and amongst others, their distribution type, currency exposure or fees and expenses might differ. The most common share classes at Robeco are:
a) D/DH shares, which are regular shares and available for all Investors;
b) I/IH shares, for institutional investors as defined from time to time by the Luxembourg supervisory authority.
For more information on share classes please go to the prospectus.
Class and codes
MSCI World Index TRN
Under the EU Sustainable Finance Disclosure Regulation, products can be labelled as either Article 6, 8 or 9 fund.
Article 6 - The fund is not in scope of enhanced sustainability disclosures compared to Article 8 and 9.
Article 8 - The fund does not have a sustainable investment objective but promotes environmental or social characteristics and is subject to enhanced sustainability disclosures.
Article 9 - The fund has a sustainable investment objective and is subject to enhanced sustainability disclosures.
Regardless of Article 8 or 9, the companies in which investments are made must follow good governance practices, and sustainable investments must not do any significant harm.
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- Performance & costs
- Positive impact – Identification of businesses that generate a competitive advantage by addressing opportunities arising from a transition towards more sustainability
- Long-term investment returns – Implementation of a disciplined investment process resulting in a concentrated, risk-controlled portfolio of stocks exhibiting strong fundamentals and reasonable valuations
About this fund
RobecoSAM Global SDG Equities is an actively managed fund that invests globally in companies that take action to advance the UN Sustainable Development Goals. The selection of these stocks is based on fundamental analysis. The fund's objective is to achieve a better return than the index. The strategy integrates sustainability throughout the investment process. It uses as an internally developed framework (more information on which can be found at www.robeco.com/si) to identify companies whose products and services create a material positive impact on the SDGs.
Total size of fund
Size of share class
Inception date fund
Michiel Plakman CFA
Michiel Plakman is Lead Portfolio Manager and member of the Global Equity team. He is responsible for fundamental global equities with a focus on SDG investing and on companies in information technology, real estate and portfolio construction. He has been in this role since 2009. Previously, he was responsible for managing the Robeco IT Equities fund within the TMT team. Prior to joining Robeco in 1999, he worked as a Portfolio Manager Japan at Achmea Global Investors (PVF Pensioenen). From 1995 to 1996 he was Portfolio Manager European Equities at KPN Pension Fund. He holds a Master's in Econometrics from Vrije Universiteit Amsterdam and he is a CFA® charterholder. Christoph Wolfensberger is a portfolio manager at Robeco within the Global Equity team with over 10 years of experience in Sustainability Investing. He is also the deputy portfolio manager for the Global SDG Equities strategy. Prior, Christoph was also a Quantitative Analyst covering Sustainability/Impact Investing within Robeco’s Products & Engineering Team with a strong focus on customized solutions as well as portfolio optimizations. Prior to joining in 2011, he served as an Intern on the ESG Research team for six months. He holds a Master’s of Science Degree in Chemistry and Business Studies from the University of Zurich.
Since inception 12/2017
Tracking error ex-post (%)
The ex-post tracking error is defined as the volatility of the fund's achieved excess return over the index return. In fund management, most managers are subject to an ex-ante (pre-determined) tracking error, which defines the extent of the additional risk they may take when aspiring to outperform the fund's benchmark. The ex-post tracking error explains the distribution of past fund performances compared to those of its underlying benchmark. With a higher tracking error, the fund's returns deviate more from its index's returns, hence there is a greater chance that the fund may outperform. The wider the spread of returns relative to the benchmark, the more "actively" a fund has been managed. In contrast, a low tracking error indicates more "passive" management.
This ratio serves to evaluate the quality of the excess return a fund manager has achieved because it takes the active risk involved into account. The information ratio is defined as the excess return over the benchmark return divided by the fund's tracking error. The higher the information ratio, the better. For example, a fund with a tracking error of 4% and an excess return of 2% over benchmark has an information ratio of 0.5, which is quite good.
This ratio measures the risk-adjusted performance and allows the performance quality of different investments to be compared. It is calculated by subtracting the risk-free rate from the fund's returns and dividing the result by the fund's standard deviation (risk). So the Sharpe ratio tells us whether a fund's returns are the result of smart investment decisions or stem from taking extra risk. The higher the ratio, the better, meaning that a greater return is achieved per unit of risk. This ratio is named after its inventor, Nobel Laureate, William Sharpe.
Alpha measures the difference between a portfolio's actual return and its expected performance, given the level of risk, compared to the benchmark. A positive alpha figure indicates that the fund has performed better than expected, given the level of risk. Beta is used to calculate the level of risk compared to the benchmark..
Beta is a measure of a portfolio's volatility, or systematic risk, in comparison to the benchmark. A beta of 1 indicates that the portfolio will move with the benchmark. A beta of less than 1 means that the portfolio will be less volatile than the benchmark. A beta of more than 1 indicates that the portfolio will be more volatile than the benchmark. For example, if a portfolio's beta is 1.2 it is theoretically 20% more volatile than the benchmark.
Standard deviation is a measure of the dispersion of a set of data from its mean. The more spread out the data is, the higher the deviation. In finance, standard deviation is applied to the annual rate of return of an investment to measure the investment's volatility (risk).
Max. monthly gain (%)
The maximum (i.e. highest) absolute positive monthly performance in the underlying period.
Max. monthly loss (%)
The maximum (i.e. highest) absolute negative monthly performance in the underlying period.
Months out performance
Number of months in which the fund outperformed the benchmark in the underlying period.
Hit ratio (%)
This percentage indicates the number of months in which the fund outperformed in a given period.
Months Bull market
Number of months of positive benchmark performance in the underlying period.
Months outperformance Bull
Number of months in which the fund outperformed positive benchmark performance in the underlying period.
Hit ratio Bull (%)
This percentage indicates the number of months the fund outperformed a positive benchmark in an underlying period.
Months Bear market
Number of months of negative benchmark performance in the underlying period.
Months outperformance Bear
Number of months in which the fund outperformed negative benchmark performance in the underlying period.
Hit ratio Bear (%)
This percentage indicates the number of months the fund outperformed a negative benchmark performance in an underlying period.
Indication of annual charges that are deducted for this fund. This indication is based on the costs over the last calendar year and may vary from year to year. Transaction costs incurred by the fund, any performance fees and other one-off costs are not included in the ongoing charges.
Included management fee
A fee paid by the fund to the asset management company for the professional management of the fund.
Included service fee
This fee is intended to cover official fees, such as the cost of annual reports, annual shareholders' meetings and price publications.
The transaction costs shown are the average annual transaction costs over the last three years calculated in accordance with European regulations.
Fiscal product treatment
The fund is established in Luxembourg and is subject to the Luxembourg tax laws and regulations. The fund is not liable to pay any corporation, income, dividend or capital gains tax in Luxembourg. The fund is subject to an annual subscription tax ('tax d'abonnement') in Luxembourg, which amounts to 0.05% of the net asset value of the fund. This tax is included in the net asset value of the fund. The fund can in principle use the Luxembourg treaty network to partially recover any withholding tax on its income.
Fiscal treatment of investor
The fiscal consequences of investing in this fund depend on the investor's personal situation. For private investors in the Netherlands real interest and dividend income or capital gains received on their investments are not relevant for tax purposes. Each year investors pay income tax on the value of their net assets as at 1 January if and inasmuch as such net assets exceed the investor’s tax-free allowance. Any amount invested in the fund forms part of the investor's net assets. Private investors who are resident outside the Netherlands will not be taxed in the Netherlands on their investments in the fund. However, such investors may be taxed in their country of residence on any income from an investment in this fund based on the applicable national fiscal laws. Other fiscal rules apply to legal entities or professional investors. We advise investors to consult their financial or tax adviser about the tax consequences of an investment in this fund in their specific circumstances before deciding to invest in the fund.
- Top 10
The fund is allowed to pursue an active currency policy to generate extra returns and can engage in currency hedging transactions.
In principle the fund does not intend to distribute dividend and so both the income earned by the fund and its overall performance are reflected in its share price.
RobecoSAM Global SDG Equities is an actively managed fund that invests globally in companies that take action to advance the UN Sustainable Development Goals. The selection of these stocks is based on fundamental analysis. The fund has sustainable investment as its objective within the meaning of Article 9 of the European Sustainable Finance Disclosure Regulation. The fund advances the UN Sustainable Development Goals (SDGs) by investing in companies whose business models and operational practices are aligned with targets defined by the 17 UN SDGs. The fund integrates ESG (Environmental, Social and Governance) factors in the investment processand applies Robeco’s Good Governance policy, The fund applies sustainability indicators, including but not limited to, normative, activity-based and region-based exclusions and proxy voting. The fund also aims to achieve a better return than the index. The strategy integrates sustainability throughout the investment process. It uses as an internally developed framework (more information on which can be found at www.robeco.com/si) to identify companies whose products and services create a material positive impact on the SDGs. Benchmark: MSCI World Index TRN. The majority of stocks selected will be components of the benchmark, but stocks outside the benchmark may be selected too. While the investment policy is not constrained by a benchmark, the fund may use one for comparison purposes. The fund can deviate substantially from the issuer, country and sector weightings of the benchmark. There are no restrictions on the deviation from the benchmark. The benchmark is a broad market-weighted index that is not consistent with the sustainable objective of the fund.
Risk management is fully integrated into the investment process to ensure that positions always meet predefined guidelines.
Full sustainability-related disclosuresDownload full report
Summary sustainability-related disclosuresDownload summary
The fact that the sub-fund has obtained this label does not mean that it meets your personal sustainability goals or that the label is in line with requirements arising from any future national or European rules. The label obtained is valid for one year and subject to annual reappraisal. More information on this label.
SDG Impact Alignment
This distribution across SDG scores shows the portfolio weight allocated to companies with a positive, negative and neutral impact alignment with the Sustainable Development Goals (SDG) based on Robeco’s SDG Framework. The frameworks, which utilizes a three-step approach to assess a company’s impact alignment with the relevant SDGs, provides a methodology for assigning companies with an SDG score. The score ranges from positive to negative impact alignment with levels from high, medium or low impact alignment. This results in a 7-step scale from -3 to +3. If the data set does not cover the full portfolio, the figures shown above each impact level sum to the coverage level to reflect the data coverage of the portfolio, with minimal deviations that reflect rounding. Weights < 0.5% will show as 0. If an index has been selected, the same figures are also provided for the index. Holdings mapped as corporates and/or sovereign are included in the figures. For more information, please visit https://www.robeco.com/docm/docu-brochure-robecosam-sdg-framework.pdf
The fund’s sustainable investment objective is to advance the United Nations Sustainable Development Goals (SDGs). SDG and sustainability considerations are incorporated in the investment process by the means of a target universe, exclusions and ESG integration. The fund solely invests in stocks issued by companies with a medium or high positive impact on the SDGs. The impact of issuers on the SDGs is determined by applying Robeco's internally developed three-step SDG Framework. The outcome is a quantified contribution expressed as an SDG score, considering both the contribution to the SDGs (positive, neutral or negative) and the extent of this contribution (high, medium or low). Furthermore, the fund does not invest in stock issuers that are in breach of international norms or where activities have been deemed detrimental to society following Robeco's exclusion policy. Financially material ESG factors are integrated in the bottom-up fundamental investment analysis to assess existing and potential ESG risks and opportunities. In addition, where a stock issuer is flagged for breaching international standards in the ongoing monitoring, the issuer will become subject to exclusion. Lastly, the fund makes use of shareholder rights and applies proxy voting in accordance with Robeco's proxy voting policy.
In April, the MSCI World Index increased by 1.8% (in USD), with consumer staples, energy and healthcare being the top-performing sectors, while materials and information technology were the worst performing ones. Following an in-line US March Core CPI read, US 23Q1 GDP QoQ growth came in at 1.1%, well below expectations (1.9%), dragged down by weak business investment, while personal consumption experienced a strong (3.7%) growth. At the same time, jobless claims rose less than expected, while the 23Q1 Core PCE Price Index experienced 4.9% growth (vs. 4.4% in 22Q4). The tightness in the labor market does not leave any room to the Fed and a 25 bps increase during its next meeting is almost a certainty. On the corporate front, large US banks and US mega cap tech names both published good quarterly results. Overall, a bit more than half of the S&P 500 companies have published their 23Q1 results, with the greatest majority of them beating expectations on both the top line and bottom line.
Based on transaction prices, the fund's return was 0.74%. Over the last month, the fund outperformed the MSCI World, which was mainly driven by positive stock selection, especially within financials and healthcare. Two of the mega-cap names – Meta and Apple – that we cannot own due to SDG considerations, continue to drag substantially on a relative basis, while not owning Tesla contributed positively over April. Among the largest detractors, were two of our semiconductor companies, On Semiconductor and Infineon. After the strong rally that started in October, further fueled by good Q1 results and guidance uplifts by the latter, concerns about a peaking cycle for automotive chips are rising. Among the largest contributors was AstraZeneca, which reported solid Q1 numbers, driven to a good extent by oncology (Imfinzi), but more importantly, it announced positive developments within its pipeline, which we regard as one of the strongest across the pharma industry. Another large contributor was Unilever, which had a strong start into the year, driven by strong pricing and better-than-expected volumes.
Expectation of fund manager
Michiel Plakman CFA
Economic conditions remain challenging, with high stress levels within the banking system, a continuation of the Fed's hiking cycle, inflation remaining very elevated, a still inverted yield curve, and strongly positive yearly benchmark contributions coming mostly from mega-cap companies, including all FAANG stocks. Based on history, we still believe that the market is too optimistic and continues to underestimate the stickiness of inflation at the current very elevated levels. Further, we saw the first cracks in the system triggered by rapidly increased interest rates and wonder what's coming next. With market valuations remaining above depressed levels and the balance of risks for global equity markets overall still looking skewed to the downside, it is hard to get overly excited and hence we maintain our defensive positioning. In the meantime, we continue to look for companies whose risk-return profile turned attractive due to overreactions in the market and we remain confident in our bottom-up approach that focuses on picking companies with strong over-the-cycle fundamentals and resilient business models to identify high-quality stocks at attractive valuations.