Robeco Smart Mobility Z EUR

The mobility of the future is electric

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
LU2145466632
Bloomberg
ROSMEZA LX

Asset class

Equities

ISIN

LU2145466632

Bloomberg

ROSMEZA LX

Index

MSCI World Index TRN

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 9

Overview Performance & costs Portfolio Sustainability Commentary Documents

Key points

Smart Mobility lies at the intersection of some of the most potent themes of the decade: climate action, electrification, artificial intelligence, connectivity, and the sharing economy
Focus on technology leaders and market disruptors with outstanding long-term growth opportunities in smart mobility value chains
Falling vehicle costs, supportive regulation and innovation from EV makers provide strong tailwinds for compelling growth over the next decade and beyond

About this fund

Robeco Smart Mobility is an actively managed fund that invests globally in companies involved in electric or fuel cell vehicle production including components and the entire value chain, clean energy supply through smart networks and charging infrastructure, as well as shared mobility and autonomous driving. 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 Regulation (EU) 2019/2088 of 27 November 2019 on Sustainability-related disclosures in the financial sector. The fund's objective is also to achieve a better return than the Benchmark. The strategy integrates sustainability criteria as part of the stock selection process and through a theme-specific sustainability assessment. The portfolio is built on the basis of an eligible investment universe that includes companies whose business models contribute to the thematic investment objectives. The assessment regarding relevant SDGs uses an internally developed framework, more information on which can be obtained at www.robeco.com/si.

Key facts

Per 31-10-2025

Total size of fund	EUR 287,770,826
Size of share class	EUR 671,562
Inception date share class	26-10-2021
1-year performance	20.43%
Dividend paying	No

Fund manager

Pieter Busscher CFA
Clément Chamboulive
Giacomo Fumagalli

Pieter Busscher is Portfolio Manager of the Robeco Smart Materials and Robeco Smart Mobility strategies and member of the Thematic Investing team. He started at Robeco in 2007 as a Deputy Portfolio Manager for the Sustainable Water strategy. Pieter became the Portfolio Manager for Smart Materials in 2009; for Smart Mobility he had been Deputy Portfolio for since strategy launch in 2018 and took over the portfolio management responsibilities in 2021. He began his career at Credit Suisse Asset Management in Zurich in 2006. He graduated from the International Business at RSM Erasmus University (Bachelor), the Banking and Finance at the University of St. Gallen (Master) and is a CFA® Charterholder. Clément Chamboulive is Co-Portfolio Manager of the Robeco Smart Mobility strategy and member of the Thematic Investing team. Prior to joining in 2021, he was at the Swiss investment firm 2Xideas, where he worked as an Equity Analyst focusing on Technology and Semiconductors. Prior to that, he founded and ran Kerra GmbH, a provider of independent research and analysis to private and public sector entities. Before that, he spent four years with Baillie Gifford as an investment analyst/manager in different segments, where he started his career in 2011. Clément holds a BSc (Hons) from the University of Edinburgh and MSc from ETH Zurich, both in Physics. Giacomo Fumagalli is Co-Portfolio Manager of the Robeco Smart Mobility strategy and member of the Thematic Investing team. Prior to joining Robeco in 2019, he worked at Lemanik SA, an investment management company located in Lugano, where he was part of the Italian equities team that managed two mutual funds mainly invested in Italian stocks. Previous to that, he worked as Junior Portfolio Manager at Credit Suisse in Milano, where he started his career in 2012, covering European equities for UHNWI discretionary mandates and was Assistant Portfolio Manager of the CS Equity Italy mutual fund. Giacomo holds a M.Sc. in Finance from Bocconi University in Milano as well as a M.Sc. in Accounting and Control from the Rotterdam School of Management (Erasmus University). He is a CFA® Charterholder.

Per period	Fund	Reference index
1 month	4.68%	3.84%
3 months	14.90%	7.12%
YTD	14.98%	7.47%
1 year	20.43%	14.77%
2 years	18.84%	22.22%
3 years	10.27%	15.56%
Since inception 25-10-2021	3.86%	10.23%

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.	15.50	-
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.	-0.33	-
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.	0.34	-
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..	-7.36	-
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.	1.39	-
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).	22.14	-
Max. monthly gain (%) The maximum (i.e. highest) absolute positive monthly performance in the underlying period.	13.78	-
Max. monthly loss (%) The maximum (i.e. highest) absolute negative monthly performance in the underlying period.	-12.72	-

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.	0.06%
Included management fee A fee paid by the fund to the asset management company for the professional management of the fund.	0.00%
Included service fee This fee is intended to cover official fees, such as the cost of annual reports, annual shareholders' meetings and price publications.	0.00%
Transaction costs The transaction costs shown are the average annual transaction costs over the last three years calculated in accordance with European regulations.	0.03%

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 31-10-2025

Market development

Per 31-10-2025

Together, surging Chinese volumes, resilient lithium pricing, rapid robotaxi scaling and Europe's policy-driven demand and infrastructure build-out confirm 2025 as a pivotal year for smart mobility. In October, the Chinese NEV market continued to be the driver of the global market, with 1.6mn NEVs sold wholesale in the country in August, representing 16% growth year-on-year and a 7% increase from September. This was despite autumn holidays in the country reducing the number of working days. This brought NEV wholesale sales in China year-to-date to over 12 million units, up 30% year-on-year. While smaller, the European EV market was nonetheless active. Individual markets have been very fond of BEVs, such as the Netherlands, where they accounted for 40% of all new vehicle registrations in October. The robotaxi market also continued to ramp up, with Baidu's Apollo Go announcing that it is delivering more than 250,000 full driverless rides a week in China, putting it on par with Waymo in the US.

Performance explanation

Per 31-10-2025

Based on transaction prices, the fund's return was 4.68%. October saw softness for automotive semiconductor firms such as ST Microelectronics, NXP, Analog Devices, and Texas Instruments, as end-market recovery lagged. AI-related companies, including Monolithic Power Systems and Delta Electronics, outperformed, with Infineon and Renesas also contributing positively. Black Sesame rebounded strongly, while Hesai's shares weakened despite solid fundamentals. Battery value chain companies excelled, led by LG Chem and lithium producers SQM and Albemarle, driven by robust ESS demand and rising lithium prices. CATL and Panasonic remained resilient. Process equipment and software firms performed well overall, with Teradyne and Chroma ATE benefiting from AI-driven capital expenditure. Chinese EV makers declined on 2026 market concerns. Tesla gained ahead of its AGM. Vehicle suppliers such as TE Connectivity exceeded expectations at its quarterly results.

Expectation of fund manager

Pieter Busscher CFA
Clément Chamboulive
Giacomo Fumagalli

The underlying fundamentals (as reflected by the core themes addressed by the strategy) are very robust. Technology companies with strong and sustainable moats remain the focus of the strategy's investments. These companies focus on the development of high-voltage electric, low-voltage electronic and software-managed solutions that enable electrification, connectivity and autonomous driving. Other key enabling technologies include battery management systems, power inverters and artificial intelligence (AI). The strategy will also continue to seek exposure to the EV market as well as to companies helping to develop EV infrastructure worldwide.

Robeco Smart Mobility Z EUR

The mobility of the future is electric

Key points

About this fund

Key facts

Fund manager

Performance

Statistics

Costs

Fiscal product treatment

Fiscal treatment of investor

Fund allocation

Policies

Market development

Performance explanation

Expectation of fund manager

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