QI European Active Equities D EUR - LU1654173993

Key points

Aims to consistently outperform the benchmark
Diversified exposure to an integrated multi-factor stock selection model
Using the proven return factors of value, quality, momentum, along with analyst revisions and short-term signals

About this fund

Robeco QI European Active Index Equities is an actively managed fund that invests in stocks of European companies. The selection of these stocks is based on a quantitative model. The fund's objective is to achieve a better return than the Benchmark. The fund uses a quantitative stock selection strategy which ranks stocks on their expected future relative performance using multiple factors: value, quality, momentum, analyst revisions and short-term signals. Highly ranked stocks are overweighted against the Benchmark, whereas low-ranked stocks are underweighted, resulting in a well-diversified portfolio.

Key facts

Per 31-08-2025

Total size of fund	EUR 72,175,554.93
Size of share class	EUR 2,694,403.34
Inception date share class	2017-09-15
1-year performance	10.18%
Dividend paying	No

Fund manager

Wilma de Groot
Machiel Zwanenburg
Vania Sulman
Wouter Tilgenkamp
Dean Walsh

Wilma de Groot is Head of Core Quant Equities, Head of Quant Equity Portfolio Management and Deputy Head of Quant Equity. She is responsible for quant equity strategies and specializes in asset pricing anomalies, portfolio construction and sustainability integration. She has published in various academic publications including the Journal of Impact and ESG Investing, Journal of Banking and Finance, Journal of International Money and Finance, Journal of Empirical Finance and the Financial Analysts Journal. She is a guest lecturer at several universities. Wilma joined Robeco as a Quant Researcher in 2001. Wilma has a PhD in Finance from Erasmus University Rotterdam and holds a Master’s in Econometrics from Tilburg University. She is a CFA® Charterholder. Machiel Zwanenburg is Portfolio Manager Quantitative Equities. He specializes in quantitative stock selection and portfolio construction. One of his areas of expertise is sustainability integration within quantitative equities. Previously, he held positions as Risk Manager and Head of Client Portfolio Risk at Robeco. He joined Robeco in 1999 as a member of the Quant Research team. He holds a Master's in Econometrics from Erasmus University Rotterdam and a Master's in Economics from the London School of Economics. Vania Sulman is Portfolio Manager Quantitative Equities. She specializes in the stock selection and sustainability integration in customized portfolios. She rejoined Robeco in 2022. Previously, she worked as a data scientist for three years and prior to that as a Quant Researcher at Robeco with a focus on quantitative stock selection. She joined the industry and Robeco in 2016. She holds a Master's (cum laude) in Quantitative Finance from Erasmus University Rotterdam. Wouter Tilgenkamp is Portfolio Manager Quantitative Equities. Wouter joined Robeco in 2016 as a Data Scientist. 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 in Quantitative Finance from Erasmus University Rotterdam. Koen Rijnen is Portfolio Manager Quantitative Equities. Koen specializes in portfolio construction and sustainability integration within quantitative equities. He joined Robeco in 2022. Previously, he was Hedging Specialist and Balance Sheet Manager at Aegon. He started his career in consultancy in 2015 and joined the industry in 2018. Koen holds a Master’s (cum laude) in Hydraulic Engineering from Delft University of Technology. He is a CFA® Charterholder. Dean Walsh is Portfolio Manager Quantitative Equities. Dean specializes in quantitative stock selection, portfolio construction and sustainable integration. Prior to joining Robeco in 2023, he worked at Mercer Global Investments as a currency portfolio manager and as a principal in their Portfolio Intelligence unit. In this role, he led on quantitative research, including work on factor portfolios, sustainable & Paris-aligned investing, and risk management. He joined the industry in 2013 at JP Morgan. Dean holds a Master's in Quantitative Finance from University College Dublin. He is a CFA® and CAIA® Charterholder.

Per period	Fund	Reference index
1 month	0.95%	1.15%
3 months	0.97%	0.57%
YTD	12.26%	10.60%
1 year	10.18%	7.12%
2 years	14.48%	12.17%
3 years	13.39%	12.61%
5 years	11.99%	11.47%
Since inception 09/2017	6.99%	7.34%

Statistics	3 years	5 Years
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.	1.59	1.44
Information ratio 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.	1.33	1.10
Sharpe ratio 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.	1.05	0.86
Alpha (%) 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..	2.25	1.62
Beta 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.	0.96	0.98
Standard deviation 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).	11.29	13.37
Max. monthly gain (%) The maximum (i.e. highest) absolute positive monthly performance in the underlying period.	6.72	13.95
Max. monthly loss (%) The maximum (i.e. highest) absolute negative monthly performance in the underlying period.	-6.52	-8.22

Cost of this fund	Percentage
Ongoing charges 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.	1.21%
Included management fee A fee paid by the fund to the asset management company for the professional management of the fund.	1.00%
Included service fee This fee is intended to cover official fees, such as the cost of annual reports, annual shareholders' meetings and price publications.	0.16%
Transaction costs The transaction costs shown are the average annual transaction costs over the last three years calculated in accordance with European regulations.	0.19%

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.

Fund

Index

Policies

Per 31-08-2025

Profile

Per 31-08-2025

ESG IntegrationVoting & Engagement

Sustainability

Per 31-08-2025

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 risk rating is lower 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. For more information please visit the sustainability-related disclosures.The index used for all sustainability visuals is based on MSCI Europe Index (Net Return, EUR).

Performance explanation

Per 31-08-2025

Based on transaction prices, the fund's return was 0.95%. The objective of the European Active strategy is to consistently outperform the MSCI Europe Index by applying a large number of small overweight and underweight positions with respect to the index, resulting in a low tracking error. The portfolio consists of roughly 200 stocks and overweights stocks with an attractive valuation, a profitable operating business, strong price momentum and positive recent revisions from analysts. By using our integrated multi-factor stock selection model, we expect the strategy to consistently outperform the benchmark. Furthermore, the fund has a lower environmental footprint on carbon emissions compared to the benchmark.

Robeco QI European Active Equities D EUR

Systematically and actively investing in European markets

Key points

About this fund

Key facts

Fund manager

Performance

Statistics

Costs

Fiscal product treatment

Fiscal treatment of investor

Fund allocation

Policies

Profile

Sustainability

Performance explanation

Fund documents

Annual and Semi-Annual Reports

Announcements

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