Robeco QI Emerging Markets 3D Active Equities F EUR

Systematically using style factors to invest in Emerging Markets with an improved sustainability profile

基金類別 基金類別 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.

類別和代碼

資產類別
Equities
ISIN
LU1648457023
彭博
ROQEMFE LX

資產類別

Equities

ISIN

LU1648457023

彭博

ROQEMFE LX

指數

MSCI Emerging Markets Index (Net Return, EUR)

可持續發展相關信息
可持續發展相關信息
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.

第8條

晨星評級 晨星評級 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.

評級

( 31-07 )

概要表現及費用基金組合可持續性文件

重點

Aims to consistently outperform the benchmark, with an improved sustainability profile
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, with an improved sustainability profile across several dimensions such as ESG, SDGs and environmental footprints

基金簡介

Robeco QI Emerging Markets 3D Active Equities is an actively managed sub-fund that aims to provide long term capital growth while at the same time aiming for a better sustainability profile compared to the Benchmark. The Sub-fund invests in stocks of companies incorporated or exercising a preponderant part of their economic activities in Emerging Countries. The Sub-fund applies Robeco's 3D Investing approach, which seeks to consider risk, return and sustainability in the Sub-fund's portfolio. The portfolio is optimised using a quantitative process to target returns in excess of the Benchmark, to target better sustainability characteristics than the Benchmark, while managing risk compared to the Benchmark.

基金資料

截至 31-07-2026

基金規模	EUR 606,978,077
股份類別規模	EUR 63,047,210
股份類別成立日期	20-07-2017
1年表現	43.01%
股息分派	不派息

基金經理

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.

期間回報	基金	Index
1個月	-5.57%	-3.68%
3個月	8.59%	6.87%
年初至今	29.10%	22.53%
1年	43.01%	35.73%
2年	27.93%	22.63%
3年	22.93%	17.64%
5年	13.11%	8.68%
成立日期 19-07-2017	10.22%	7.64%

基金數據	3年	5年
事後追蹤誤差(%) 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.	3.33	3.77
信息比率 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.	2.03	1.51
夏普比率 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.	1.27	0.76
阿爾法系數(%) 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..	5.48	5.24
貝塔值 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.	1.03	1.02
標準差 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).	17.00	16.31
最大月收益 (%) The maximum (i.e. highest) absolute positive monthly performance in the underlying period.	14.74	14.74
最大月損失 (%) The maximum (i.e. highest) absolute negative monthly performance in the underlying period.	-10.40	-10.40

本基金費用	百分比
持續收費 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.	0.81%
包含管理費 A fee paid by the fund to the asset management company for the professional management of the fund.	0.55%
包含服務費 This fee is intended to cover official fees, such as the cost of annual reports, annual shareholders' meetings and price publications.	0.20%
交易費用 The transaction costs shown are the average annual transaction costs over the last three years calculated in accordance with European regulations.	0.20%

財政產品處理

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.

投資者的稅務安排

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.