Robeco QI Global Momentum Equities I EUR
Systematic and efficient approach to benefit from trends by harvesting the momentum factor.
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 All Country World Index (Net Return, EUR)
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
- Part of Robeco's range of factor-premium strategies, which includes Conservative Equities, Value Equities and Quality Equities
- Distinctive active approach in momentum investing based on extensive research
- Momentum Equities has a proven track record since 2012
About this fund
Robeco QI Global Momentum Equities is an actively managed fund that invests in stocks in developed and emerging countries across the world. The selection of these stocks is based on a quantitative model. The fund's objective is to achieve a better return than the index. In selecting stocks, a systematic approach is used in which the attractiveness of stocks is assessed on both fundamental and technical variables, which are then interpreted by quantitative models. By avoiding unrewarded risk and preventing unnecessary turnover, the fund aims to efficiently harvest the momentum premium. Momentum stands for the focus on medium term trends for equities. The fund invests in stocks with a positive momentum, i.e. equities benefiting from trends, factoring in both stock valuation and risk.
Total size of fund
Size of share class
Inception date fund
Pim van Vliet
Guido is Head of Robeco’s Factor Investing strategies and Co-head of the Quant Fixed Income team. He also holds a position as Professor of Behavioral Finance and Financial Markets at Erasmus University Rotterdam. Guido has published in top-ranked academic journals including the Journal of Financial Economics, the American Economic Review and Management Science. He started his career in the investment industry in 2004. Before joining Robeco in 2017, Guido was Head of Quantitative Research Fixed Income and Multi Asset at NN Investment Partners. He has worked together in research projects with the 2017 Nobel Prize laureate Richard Thaler. Guido holds a PhD and a Master's (cum laude) in Financial and Business Economics from Erasmus University Rotterdam. Daniel Haesen is Portfolio Manager Quantitative Equities and focuses on managing Factor Investing portfolios such as the Value-, Momentum-, Quality- and Multi-Factor portfolios. He specializes in factor research and portfolio management. Daniel joined Robeco in 2003 as a quantitative researcher, with a specific focus on quant selection research, working on both equity and corporate bond multi-factor selection models. He was also responsible for quantitative sustainability and quantitative allocation research. He has published in several academic journals, including the Journal of Banking and Finance. He holds a Master's degree in Econometrics and Quantitative Finance from Tilburg University in the Netherlands and is a CFA® charterholder. Wouter Tilgenkamp is Portfolio Manager Quantitative Equities and focuses on managing Factor Investing portfolios, such as the Value-, Momentum-, Quality- and Multi-Factor portfolios. Wouter joined Robeco in 2016 as a Data Scientist, with a specific focus on Equity Trading Research, automatization of portfolio processes, portfolio construction, and optimal execution of strategies. He started his financial career in 2014 as Derivative Trader at Optiver. He holds a Bachelor of Science in Applied Mathematics from Technical University of Delft and a master’s degree in Quantitative Finance. Pim van Vliet is Head of Conservative Equities and Head of Robeco’s Quantitative Equities department. As Head of Conservative Equities, he is responsible for a wide range of global, regional, and sustainable low-volatility strategies. He specializes in low-volatility investing, asset pricing, and quantitative finance. He is the author of numerous academic research papers including publications in the Journal of Banking and Finance, Management Science, and the Journal of Portfolio Management. Pim is a guest lecturer at several universities, author of an investment book and speaker at international seminars. He became Portfolio Manager in 2010. Pim joined Robeco in 2005 as a Researcher with responsibility for asset allocation research. Pim holds a PhD and a Master's cum laude in Financial and Business Economics from Erasmus University Rotterdam.
Since inception 08/2012
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 0.01% 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
Investors who are not subject to (exempt from) Dutch corporate-income tax (e.g. pension funds) are not taxed on the achieved result. Investors who are subject to Dutch corporate-income tax can be taxed for the result achieved on their investment in the fund. Dutch bodies that are subject to corporate-income tax are obligated to declare interest and dividend income, as well as capital gains in their tax return. Investors residing outside the Netherlands are subject to their respective national tax regime applying to foreign investment funds. We advise individual 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
Currency risk will not be hedged. Exchange-rate fluctuations will therefore directly affect the fund's share price.
The fund does not distribute dividend. The fund retains any income that is earned and so its entire performance is reflected in its share price.
Robeco QI Global Momentum Equities is an actively managed fund that invests in stocks in developed and emerging countries across the world. The selection of these stocks is based on a quantitative model. The fund's objective is to achieve a better return than the index. The fund aims for a better sustainability profile compared to the Benchmark by promoting E&S (i.e. Environmental and Social) characteristics within the meaning of Article 8 of the European Sustainable Finance Disclosure Regulation, integrating sustainability risks in the investment process and applying Robeco’s Good Governance policy. The fund applies sustainability indicators, including but not limited to, normative, activity-based and region-based exclusions, and engagement. In selecting stocks, a systematic approach is used in which the attractiveness of stocks is assessed on both fundamental and technical variables, which are then interpreted by quantitative models. By avoiding unrewarded risk and preventing unnecessary turnover, the fund aims to efficiently harvest the momentum premium. Momentum stands for the focus on medium term trends for equities. The fund invests in stocks with a positive momentum, i.e. equities benefiting from trends, factoring in both stock valuation and risk.The majority of stocks selected will be components of the Benchmark, but stocks outside the Benchmark may be selected too. The fund can deviate from the weightings of the Benchmark. The fund aims to outperform the Benchmark over the long run, whilst still controlling relative risk through the applications of limits (on countries, sectors and issuers) to the extent of deviation from the Benchmark. This will consequently limit the deviation of the performance relative to the Benchmark. The Benchmark is a broad market weighted index that is not consistent with the ESG characteristics promoted by 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
Environmental footprint expresses the total resource consumption of the portfolio per mUSD invested. Each assessed company's footprint is calculated by normalizing resources consumed by the company's enterprise value including cash (EVIC). We aggregate these figures to portfolio level using a weighted average, multiplying each assessed portfolio constituent's footprint by its respective position weight. Sovereign and cash positions have no impact on the calculation. If an index is selected, its aggregate footprint is shown besides that of the portfolio. The equivalent factors that are used for comparison between the portfolio and index represent European averages and are based on third-party sources combined with own estimates. As such, the figures presented are intended for illustrative purposes and are purely an indication. Figures only include corporates The reported waste generation by companies in the portfolio and index can include Incinerated Waste, Landfill Waste, Nuclear Waste, Recycled Waste and Mining Tailing Waste. While these types of waste have different environmental impacts, in the comparison all types of waste are aggregated and expressed as total weight. The difference in tonnes/mUSD invested between portfolio and index is expressed as ‘equivalent to the annual waste generation of # people’, based on the average tonnes of household waste generated per European.
Sustainalytics ESG Risk Rating
The Portfolio Sustainalytics ESG Risk Rating chart displays the portfolio's ESG Risk Rating. This is calculated by multiplying each portfolio component's Sustainalytics ESG Risk Rating by its respective portfolio weight. If an index has been selected, those scores are provided alongside the portfolio scores, highlighting the portfolio's ESG risk level compared to the index. The Distribution across Sustainalytics ESG Risk levels chart shows the portfolio allocations broken into Sustainalytics' five ESG risk levels: negligible (0-10), low (10-20), medium (20-30), high (30-40) and severe (40+), providing an overview of portfolio exposure to the different ESG risk levels. If an index has been selected, the same information is shown for the index. Only holdings mapped as corporates are included in the figures.
The fund systematically incorporates sustainability in the investment process via exclusions, ESG integration, ESG and environmental footprint targets, and engagement. The fund does not invest in stocks issued by companies that are in breach of international norms or where its activities have been deemed detrimental to society following Robeco's exclusion policy. Financially material ESG factors are integrated in the portfolio construction to ensure the ESG score of the portfolio is better than that of the index. In addition, the environmental footprints of the fund are made lower than that of the benchmark by restricting the GHG emissions, water use and waste generation. With these portfolio construction rules, stocks issued by companies with better ESG scores or environmental footprints are more likely to be included in the portfolio while stocks issued by companies with worse ESG scores or environmental footprints are more likely to be divested from the portfolio. In addition, where a stock issuer is flagged for breaching international standards in the ongoing monitoring, the issuer will become subject to engagement.
Based on transaction prices, the fund's return was 2.16%. The fund aims to achieve higher risk-adjusted returns than both the broad market and generic momentum indices over a full business cycle by taking an efficient, well-diversified exposure to the enhanced momentum factor, present in stocks that have recently exhibited above-average performance.
Expectation of fund manager
Pim van Vliet
The fund follows a bottom-up driven investment strategy to gain exposure to the proven momentum factor. Rather than using generic factor definitions, it uses Robeco's enhanced momentum definition to avoid unrewarded risk and maximize its return potential. Generic momentum definitions usually lead to strategies with higher risks, higher drawdowns and large turnovers. Our momentum factor definition aims to adjust for these unwanted effects. Furthermore, the strategy aims to prevent that exposure to the momentum factor results in negative exposure to other factors, like value, low-volatility and quality. By doing so, the strategy avoids unwanted and unintended factor tilts. It is a rules-based process that tries to avoid unnecessary transaction costs by only buying stocks if the expected gains outweigh the costs of the trade.