Robeco QI Institutional Global Developed 3D Active Equities T9 EUR

Systematic, sustainable approach to gain efficient, well-diversified exposure to multiple proven style factors

Share classes Share classes 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

Asset class
Equities
ISIN
NL0013216450
Bloomberg
RQGDST9 NA

Asset class

Equities

ISIN

NL0013216450

Bloomberg

RQGDST9 NA

Index

MSCI World Index

Sustainability-related information
Sustainability-related information
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.

Article 8

Morningstar Morningstar Copyright © Morningstar, Inc. All Rights Reserved. The information contained herein: (1) is proprietary to Morningstar and/or its content providers; (2) may not be copied or distributed; and (3) is not warranted to be accurate, complete or timely. Neither Morningstar nor its content providers are responsible for any damages or losses arising from any use of this information. Past performance is no guarantee of future results. Download The Morningstar Rating for Funds (chapter: The Morningstar Rating: Three-, Five-, and 10-Year) on the Morningstar website.

Rating

( 30-11 )

Overview Performance & costs Portfolio Sustainability Commentary Documents

Key points

Aims to outperform the benchmark, with multi-factor exposure and an improved sustainability profile
Diversified, high and consistent exposure to multiple factors such as value, momentum, low risk and quality
Avoids going against other factors, mitigates unrewarded risk and prevents unnecessary turnover

About this fund

Robeco QI Institutional Global Developed 3D Active Equities is an actively managed sub-fund that invests in stocks issued by companies incorporated or exercising a preponderant part of their economic activities in mature economies. The Sub-fund will apply Robeco's 3D Investing approach, which seeks to consider risk, return and sustainabil-ity in the Fund's portfolio. The Sub-fund's portfolio will be optimised using a quantitative process to target returns in excess of the Benchmark, to target better sustainability characteristics than the Benchmark, while managing risk com-pared to the Benchmark. All decision making at portfolio level is based on the settings of the portfolio construction algo-rithm that considers risk, return and sustainability and the identification of under-valued and over-valued stocks which is the result of the stock's scoring on Robeco's proprietary quantitative stock-ranking model.

Key facts

Per 30-11-2025

Total size of fund	EUR 194,056,526
Size of share class	EUR 103,200,075
Inception date share class	18-02-2019
1-year performance	7.82%
Dividend paying	Yes

Fund manager

Wilma de Groot
Machiel Zwanenburg
Vania Sulman
Dean Walsh
Wouter Tilgenkamp

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. 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. 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.

Per period	Fund	Reference index
1 month	-0.06%	-
3 months	7.11%	-
YTD	8.82%	-
1 year	7.82%	-
2 years	20.52%	-
3 years	13.60%	-
5 years	14.51%	-
Since inception 17-02-2019	11.05%	-

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.	2.86	3.48
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.	-0.30	0.26
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.	0.92	1.04
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..	-0.15	1.82
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.	0.94	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).	11.59	12.31
Max. monthly gain (%) The maximum (i.e. highest) absolute positive monthly performance in the underlying period.	7.97	8.73
Max. monthly loss (%) The maximum (i.e. highest) absolute negative monthly performance in the underlying period.	-7.28	-7.28

Date	Amount
28-06-2024	EUR 2.58
19-06-2023	EUR 2.35
29-06-2022	EUR 2.65
21-06-2021	EUR 2.59

Download dividend history

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.	0.68%
Included management fee A fee paid by the fund to the asset management company for the professional management of the fund.	0.62%
Transaction costs The transaction costs shown are the average annual transaction costs over the last three years calculated in accordance with European regulations.	0.02%

Policies

Per 30-11-2025

Robeco QI Institutional Global Developed 3D Active Equities T9 EUR

Systematic, sustainable approach to gain efficient, well-diversified exposure to multiple proven style factors

Key points

About this fund

Key facts

Fund manager

Performance

Statistics

Dividend paying history

Costs

Fund allocation

Policies

Performance explanation

Fund documents

Annual and Semi-Annual Reports

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