QI Chinese A-share Active Equities I USD - LU1675172263

Key points

Aims to consistently outperform the benchmark
Diversified exposure to an integrated multi-factor stock selection model
Using proven return factors value, quality and momentum

About this fund

Robeco QI Chinese A-share Active Equities is an actively managed fund that invests in stocks of Chinese companies with an A-share listing in mainland China. 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	USD 226,158,888.07
Size of share class	USD 15,284,218.94
Inception date share class	2017-11-09
1-year performance	40.74%
Dividend paying	No

Fund manager

Wilma de Groot
Tim Dröge
Han van der Boon
Daniel Haesen
Jan Sytze Mosselaar

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. Tim Dröge is Portfolio Manager Quantitative Equities. Tim specializes in quantitative stock selection, portfolio construction and Emerging Markets. Previously, he held positions as Portfolio Manager Balanced Investments and Account Manager institutional clients. Tim has been working as a Portfolio Manager since 2001. He started his career at Robeco in 1999. He holds a Master's in Business Economics from Erasmus University Rotterdam. Han van der Boon is Portfolio Manager Quantitative Equities. He specializes in quantitative stock selection and portfolio construction. He was a Technical Portfolio Manager and Operational Portfolio Manager with a focus on equities in the period 2009-2018. He joined Robeco in 1997 as a Business Controller. He holds a Master's in Business Administration from Erasmus University Rotterdam. Daniel Haesen is Portfolio Manager Quantitative Equities. 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. Jan Sytze Mosselaar is Portfolio Manager Quantitative Equities. He is responsible for quant equity strategies and specializes in quantitative stock selection as well as portfolio and market analysis. Jan Sytze is the author of ‘A Concise Financial History of Europe’, published by Robeco. He started his career in 2004 at Robeco and worked for ten years as a multi-asset portfolio manager, responsible for multi-asset funds, quant allocation funds and fiduciary pension mandates. He holds a Master’s in Business Economics with a specialization in Finance & Investments from the University of Groningen. He is a CFA® Charterholder.

Per period	Fund	Reference index
1 month	11.31%	12.06%
3 months	19.29%	20.53%
YTD	22.37%	20.32%
1 year	40.74%	37.33%
2 years	14.85%	12.49%
3 years	6.08%	3.30%
5 years	2.58%	0.21%
Since inception 11/2017	4.21%	2.25%

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.	3.77	4.55
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.	1.02	0.75
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.	0.10	0.02
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..	3.59	3.03
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.	0.95	0.91
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).	22.15	20.07
Max. monthly gain (%) The maximum (i.e. highest) absolute positive monthly performance in the underlying period.	20.87	20.87
Max. monthly loss (%) The maximum (i.e. highest) absolute negative monthly performance in the underlying period.	-9.00	-9.25

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.	0.93%
Included management fee A fee paid by the fund to the asset management company for the professional management of the fund.	0.70%
Included service fee This fee is intended to cover official fees, such as the cost of annual reports, annual shareholders' meetings and price publications.	0.22%
Transaction costs The transaction costs shown are the average annual transaction costs over the last three years calculated in accordance with European regulations.	0.34%

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.

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, engagement and voting. 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. Lastly, the fund makes use of shareholder rights and applies proxy voting in accordance with Robeco's proxy voting policy.For more information please visit the sustainability-related disclosures.The index used for all sustainability visuals is based on MSCI China A International Index (Net returns, USD).

Performance explanation

Per 31-08-2025

Based on transaction prices, the fund's return was 11.31%. The objective of the Chinese A-share Active strategy is to consistently outperform the MSCI China A International Index, with relatively high activeness and strong exposure to proven quantitative factors such as value, quality and momentum. The portfolio consists of roughly 250 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.

Robeco QI Chinese A-share Active Equities I USD

Systematically benefiting from mainland China companies

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

Let's keep the conversation going