Robeco Emerging Stars Equities ML USD
Investing in emerging economies based on top-down country analysis and bottom-up stock selection
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
MSCI Emerging Markets Index (Net Return, USD)
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.
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- Performance & costs
- Invests flexibly and dynamically
- Focuses on the most attractive emerging countries
- Concentrated portfolio of about 35 to 50 stocks
About this fund
Robeco Emerging Stars Equities is an actively managed fund that invests in emerging countries equities all over world. The selection of these shares is based on a fundamental analysis. The fund's objective is to achieve a better return than the index. The fund selects investments based on a combination of top-down country analysis and bottom-up stock selection. We focus on companies that have both a healthy and solid business model growth prospects as a reasonable valuation. The fund has a focused, concentrated portfolio with a small number of larger bets.
Total size of fund
Size of share class
Inception date fund
Jaap van der Hart
Jaap van der Hart is the Lead Portfolio Manager of Robeco’s High Conviction Emerging Stars strategy. Over time, he has been responsible for the investments in South America, Eastern Europe, South Africa, Mexico, China and Taiwan. He also coordinates the country allocation process. He started his career in the investment industry in 1994 at Robeco's Quantitative Research department and moved to the Emerging Markets Equity team in 2000. Jaap holds a Master's in Econometrics from Erasmus University Rotterdam. He has published several academic articles on stock selection in emerging markets. Karnail Sangha is a Portfolio Manager within the Emerging Markets Equity team and provides analytical research coverage on India. He is Co-Portfolio Manager for the Emerging Stars and Sustainable Emerging Stars Equity strategies. Prior to joining Robeco in 2000, Karnail was a Risk Manager/Controller at Aegon Asset Management where he started his career in the industry in 1999. He holds a Master's in Economics from Erasmus University Rotterdam and is a CFA® charterholder. Karnail is also fluent in Hindi and Punjabi.
- Per period
- Per annum
Since inception 02/2014
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.
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.
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.
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..
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.
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).
Max. monthly gain (%)
The maximum (i.e. highest) absolute positive monthly performance in the underlying period.
Max. monthly loss (%)
The maximum (i.e. highest) absolute negative monthly performance in the underlying period.
Months out performance
Number of months in which the fund outperformed the benchmark in the underlying period.
Hit ratio (%)
This percentage indicates the number of months in which the fund outperformed in a given period.
Months Bull market
Number of months of positive benchmark performance in the underlying period.
Months outperformance Bull
Number of months in which the fund outperformed positive benchmark performance in the underlying period.
Hit ratio Bull (%)
This percentage indicates the number of months the fund outperformed a positive benchmark in an underlying period.
Months Bear market
Number of months of negative benchmark performance in the underlying period.
Months outperformance Bear
Number of months in which the fund outperformed negative benchmark performance in the underlying period.
Hit ratio Bear (%)
This percentage indicates the number of months the fund outperformed a negative benchmark performance in an underlying period.
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.
Included management fee
A fee paid by the fund to the asset management company for the professional management of the fund.
Included service fee
This fee is intended to cover official fees, such as the cost of annual reports, annual shareholders' meetings and price publications.
The transaction costs shown are the average annual transaction costs over the last three years calculated in accordance with European regulations.
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.
- Top 10
The fund is allowed to pursue an active currency policy to generate extra returns and can engage in currency hedging transactions.
In principle, the fund does not intend to distribute dividend and so both the income earned by the fund and its overall performance are reflected in its share price.
Robeco Emerging Stars Equities is an actively managed fund that invests in emerging countries equities all over world. The selection of these shares is based on a fundamental analysis. The fund's objective is to achieve a better return than the index. The fund promotes E&S (i.e. Environmental and Social) characteristics within the meaning of Article 8 of the European Sustainable Finance Disclosure Regulation, integrates sustainability risks in the investment process and applies Robeco’s Good Governance policy. The fund applies sustainability indicators, including but not limited to, normative, activity-based and region-based exclusions, and proxy voting. The fund selects investments based on a combination of top-down country analysis and bottom-up stock selection. We focus on companies that have both a healthy and solid business model growth prospects as a reasonable valuation. The fund has a focused, concentrated portfolio with a small number of larger bets. The majority of stocks selected will be components of the Benchmark, but stocks outside the Benchmark may be selected too. The fund can deviate substantially from the weightings of the Benchmark. The fund aims to outperform the Benchmark over the long run, whilst still controlling relative risk through the applications of limits (on VaR Ratio) to the extent of deviation from the Benchmark. This will consequently limit the deviation of the performance relative to the Benchmark. The Benchmark is a broad market weighted index that is not consistent with the ESG characteristics promoted by the fund.
Risk management is fully integrated into the investment process to ensure that positions always meet predefined guidelines.
The fund incorporates sustainability in the investment process through exclusions, ESG integration, engagement and voting. The fund does not invest in issuers that are in breach of international norms or where activities have been deemed detrimental to society following Robeco's exclusion policy. Financially material ESG factors are integrated in the bottom-up investment analysis to assess existing and potential ESG risks and opportunities. In the stock selection the fund limits exposure to elevated sustainability risks. 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.
In July, emerging markets increased 5.1% (EUR), thereby outperforming their developed counterparts, which increased 2.3% (EUR). Positive soundbites from China lifted sentiment and drove the markets in general. Regulatory scrutiny on the large internet-based platforms seems to be ending in China, while more support and pledges to restore the health of the property sector were well received. Further comments on boosting consumer confidence and solving the local government debt issue also supported the Chinese market. General sentiment was further supported by the better-than-expected economic numbers in the US (especially inflation-related), increasing the odds that the Fed is nearing the end of its rate-hike cycle. Countries that performed strongly in July were China, Malaysia, South Africa and Turkey. Markets that lagged were Hungary, India, Indonesia, Saudi Arabia and Taiwan. Crude oil prices moved up in July on reports of Saudi Arabia extending a voluntary output cut in August. Inflows into EM equity funds in July crossed the USD 2 billion, from under USD 1 billion in June. Cumulative flows into EM equity funds are nearing almost US 40 billion year-to-date.
Based on transaction prices, the fund's return was 4.06%. In July, the fund underperformed the MSCI Emerging Markets Index. Country allocation was slightly positive in July, while stock selection was the detractor from the overall performance. Positive country allocation results came from India, Saudi Arabia (both underweight), Vietnam and South Africa (overweight). Negative country allocation came from China (underweight) and Hungary (overweight). Stocks that did relatively well in July were to be found in China, where Alibaba (e-commerce), Vipshop (online retailer) and Ping An (insurance) did well. Wiwynn, the Taiwanese cloud storage solutions provider, had a strong share price run on the back of increased demand for AI-cloud demand. Naspers (South African internet-holding company), Vinhomes (Vietnamese property developer) and Grupo Banorte (Mexican bank) also did well in July. Stocks detracting from performance were to be found in South Korea, where Kia Motors, LG Electronics and Samsung Electronics underperformed. The Taiwanese technology names TSMC and Macronix (memory) also underperformed. HCL Technologies, the India-based IT software solutions provider, reported numbers that were weak in terms of new order intake.
Expectation of fund manager
Jaap van der Hart
The global environment is still challenging for equity markets, as inflation remains relatively high and global central banks have continued to raise interest rates. This has led to financial stress for some European and US banks, and global growth is likely to slow down. Emerging markets, however, seem relatively well positioned, as inflation is actually lower in many countries, they were earlier in hiking interest rates in this cycle and growth in China is picking up after the end of the zero-Covid policy. After last year's correction, market valuations have become more attractive. Emerging markets in particular are attractively valued relative to developed markets, with discounts of around 30% based on earnings multiples.