Robeco QI Dynamic High Yield IH USD

Looking for long-term capital growth and diversified exposure to global high yield via CDS index derivatives

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
Bonds
ISIN
LU1102563613
Bloomberg
RQHYIHU LX

Asset class

Bonds

ISIN

LU1102563613

Bloomberg

RQHYIHU LX

Index

Bloomberg Global HY Corporate

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 6

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

( 31-10 )

Overview Performance & costs Portfolio Sustainability Commentary Documents

Key points

Liquid exposure to global high yield corporates
Performance driven by unique quantitative models
An alternative to passive, traditional active or direct high-yield investments

About this fund

Robeco QI Dynamic High Yield is an actively managed fund that aims to provide long-term capital growth and offers diversified exposure to the global high yield corporate bond market, by investing primarily in CDS index derivatives. The positions in these instruments are based on quantitative models. The performance is model-driven by taking active beta and duration positions to decrease or increase the exposures towards the high-yield and rates markets within pre-defined risk limits.

Key facts

Per 31-10-2025

Total size of fund	USD 474,162,605
Size of share class	USD 22,398,059
Inception date share class	28-08-2014
1-year performance	8.95%
Dividend paying	No

Fund manager

Johan Duyvesteyn
Patrick Houweling
Lodewijk van der Linden

Johan Duyvesteyn is Portfolio Manager Quant Fixed Income. His areas of expertise include government bond market timing, credit beta market timing, country sustainability and emerging-market debt. He has published in the Financial Analysts Journal, the Journal of Empirical Finance, the Journal of Banking and Finance, and the Journal of Fixed Income. Johan started his career in the industry in 1999 at Robeco. He holds a PhD in Finance, a Master's in Financial Econometrics from Erasmus University Rotterdam and he is a CFA® charterholder. Patrick Houweling is Head of Quant Fixed Income and Lead Portfolio Manager of Robeco’s quantitative credit strategies. Patrick has published seminal articles on Duration Times Spread, factor investing in credit markets, corporate bond liquidity and credit default swaps in various academic journals, including the Journal of Banking and Finance, the Journal of Empirical Finance and the Financial Analysts Journal. The article 'Factor Investing in the Corporate Bond Market' he co-authored received a Graham and Dodd Scroll Award of Excellence for 2017. Patrick is a guest lecturer at several universities. Prior to joining Robeco in 2003, he was Researcher in the Risk Management department at Rabobank International where he started his career in 1998. He holds a PhD in Finance and a Master's (cum laude) in Financial Econometrics from Erasmus University Rotterdam. Lodewijk van der Linden is Portfolio Manager Quant Fixed Income. Lodewijk has published in the Journal of Asset Management on the application of CDS in portfolio management and has written on the volatility effect. He joined Robeco in August 2018. In the period 2015-2018 Lodewijk worked at Aegon Asset Management where he was Risk associate and Team Manager Client Reporting. Lodewijk started his career at PwC as an actuarial consultant in 2013. He holds a Master's in Actuarial Science from the University of Amsterdam and a Master's in Econometrics and Management Science from Erasmus University Rotterdam.

Per period	Fund	Reference index
1 month	-0.01%	0.21%
3 months	2.77%	1.98%
YTD	7.76%	7.07%
1 year	8.95%	7.98%
2 years	13.96%	12.14%
3 years	13.22%	10.72%
5 years	7.29%	5.26%
10 years	6.30%	5.78%
Since inception 21-08-2014	6.10%	4.99%

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.	3.16	3.53
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.	0.98	0.74
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.	1.30	0.59
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..	0.35	2.40
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.	1.46	1.08
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).	6.88	7.82
Max. monthly gain (%) The maximum (i.e. highest) absolute positive monthly performance in the underlying period.	5.88	6.97
Max. monthly loss (%) The maximum (i.e. highest) absolute negative monthly performance in the underlying period.	-1.48	-3.69

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.	0.54%
Included management fee A fee paid by the fund to the asset management company for the professional management of the fund.	0.40%
Included service fee This fee is intended to cover official fees, such as the cost of annual reports, annual shareholders' meetings and price publications.	0.12%
Transaction costs The transaction costs shown are the average annual transaction costs over the last three years calculated in accordance with European regulations.	0.09%

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

The global high yield bond spread widened by 13 bps. The European iTraxx Crossover widened by 3 bps, and the US CDX High Yield by 7 bps: Europe outperformed the US. The global CDS index return was 0.06% and the underlying government bonds contributed 0.24%. Therefore, the combined return of investing in CDS indices and government bonds was 0.30% this month, outperforming the 0.00% return of the high yield cash bond index. Global credit markets delivered negative credit returns over the month, but both US and European stocks rallied further on strong earnings and hopes of easier monetary policy. Government bond markets also did well, as US and German yields declined. The Fed cut interest rates by 0.25% (its second consecutive cut), while the ECB left rates unchanged. Markets initially cheered the dovish move of the Fed, though the cautious tone later erased some of the gains. The prolonged US government shutdown dampened sentiment but did not derail markets. Late in the month, the US and China agreed to roll back some trade tariffs, boosting risk appetite, while in Europe France's political turmoil prompted a credit rating downgrade by S&P.

Performance explanation

Per 31-10-2025

Based on transaction prices, the fund's return was -0.01%. The fund underperformed versus the high yield cash bond market index by -0.18% gross of fees. The credit beta overweight and the duration underweights detracted; the region allocation delivered a positive contribution. The combined return of investing in CDS indices and government bonds outperformed the return of high-yield cash bonds. In the long run, we do not expect structural return differences between CDS indices and government bonds versus corporate bonds.

Expectation of fund manager

Johan Duyvesteyn
Patrick Houweling
Lodewijk van der Linden

The positions of the fund are fully determined by the outcomes of our proprietary models. At the end of the month, the fund had a neutral credit beta position. The region allocation position was overweight in Europe and underweight in the US. The fund had neutral duration positions in the US and Germany.

Robeco QI Dynamic High Yield IH USD

Looking for long-term capital growth and diversified exposure to global high yield via CDS index derivatives

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

Fund documents

Annual and Semi-Annual Reports

Announcements

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