Robeco QI Long/Short Dynamic Duration DH CHF
Systematic and active duration management within bonds and similar fixed income securities
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
ICE BofA ESTR Overnight Rate Index
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
- Benefiting from falling and rising bond yields
- Quantitative model anticipating direction bond markets
- Proven track record in multiple market environments
About this fund
Robeco QI Long/Short Dynamic Duration is an actively managed fund that invests mainly in bonds and similar fixed income securities with a short duration and takes active positive or negative duration (interest-rate sensitivity) positions. The duration positioning of the fund is fully based on a quantitative model.The fund's objective is to provide long term capital growth. Active duration management is the sole performance driver for this fund. Robeco’s quantitative duration model generates forecasts for the direction of bond yields in the main developed bond markets (United States, Germany and Japan). The duration overlay is implemented using bond futures.
Total size of fund
Size of share class
Inception date share class
Lodewijk van der Linden
Olaf Penninga is Portfolio Manager Quant Fixed Income. He has been Portfolio Manager for the Dynamic Duration strategy since 2005 and Lead Portfolio Manager since 2011. These are all quantitative fixed income strategies. His previous positions with Robeco include that of Lead Portfolio Manager for Robeco’s fundamentally-managed Euro Government Bonds strategy and Researcher with responsibility for fixed income allocation research. Olaf was employed by Interpolis as Investment Econometrician for one year before returning to Robeco in 2003. He started his career in 1998 at Robeco. He holds a Master's in Mathematics (cum laude) from Leiden University. Lodewijk van der Linden is Portfolio Manager Quant Fixed Income. 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. 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. Robeco QI Long/Short Dynamic Duration is managed within Robeco’s Rates team, which consists of four portfolio managers. The team is focused on government bond strategies including quantitative duration strategies. The team works closely together with four dedicated quantitative researchers and four fixed income traders. On average, the members of the rates team have an experience in the asset management industry of sixteen years, of which ten years with Robeco.
- Per period
- Per annum
Since inception 03/2010
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.
The average credit quality of the securities in the portfolio. AAA, AA, A en BAA (Investment Grade) means lower risk and BB, B, CCC, CC, C (High Yield) higher risk.
Option Adjusted Modified Duration (years)
The interest rate sensitivity of the portfolio.
The average maturity of the securities in the portfolio.
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
Investors outside Luxembourg are subject to their national tax regime applying to foreign investment funds. We advise individual investors to contact their financial or fiscal adviser regarding their specific fiscal situation.
All currency risks are hedged.
Robeco QI Long/Short Dynamic Duration makes use of derivatives in order to implement the duration overlay. In addition, derivatives are used to hedge the currency risks of the portfolio. These derivatives are very liquid.
In principle the fund does not intend to distribute dividend. The income earned by the fund is reflected in its share price. The fund's entire result is thus reflected in its share price development.
Robeco QI Long/Short Dynamic Duration is an actively managed fund that invests mainly in bonds and similar fixed income securities with a short duration and takes active positive or negative duration (interest-rate sensitivity) positions. The duration positioning of the fund is fully based on a quantitative model.The fund's objective is to provide long term capital growth. 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 engagement. Active duration management is the sole performance driver for this fund. Robeco’s quantitative duration model generates forecasts for the direction of bond yields in the main developed bond markets (United States, Germany and Japan). The duration overlay is implemented using bond futures. The Benchmark of the fund is a cash benchmark. The fund aims to outperform the Benchmark over the long run, whilst still controlling relative risk through the application of a tracking error limit. This will consequently limit the deviation of the performance relative to the Benchmark. The Benchmark is an overnight index or ‘money market index’ that is not consistent with the ESG characteristics promoted by the fund.
Risk management is fully integrated in the investment process to ensure that positions always meet predefined guidelines.
ESG Important Information
The sustainability information below can help investors integrate sustainability considerations in their process. This information is for informational purposes only. The reported sustainability information may not at all be used in relation to binding elements for this fund. A decision to invest should take into account all characteristics or objectives of the fund as described in the prospectus.
The fund incorporates sustainability in the investment process via exclusions, negative screening, ESG integration, limits on investments in companies and countries based on ESG performance as well as engagement. For government and government-related bonds, the fund complies with Robeco’s exclusion policy for countries, excludes the 15% worst ranked countries following the World Governance Indicator 'Control of Corruption', and ensures the fund has a minimum weighted average score of 6 following Robeco's proprietary Country Sustainability Ranking. The Country Sustainability Ranking scores countries on a scale from 1 (worst) to 10 (best) based on 40 environmental, social, and governance indicators. For corporate bonds, the fund does not invest in credit 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 portfolio construction to ensure the fund limits exposure to issuers with an elevated sustainability risk profile. Lastly, where issuers are flagged for breaching international standards in the ongoing monitoring, the issuer will become subject to engagement.The following sections display the ESG-metrics for this fund along with short descriptions. For more information please visit the sustainability-related disclosures.The index used for all sustainability visuals is based on ICE BofA ESTR Overnight Rate Index.
US yields rose in October, as labor market data remained strong and GDP grew by 4.9% in the third quarter. Yields also rose in Japan, where the Bank of Japan subtly adjusted its Yield Curve Control policy: 1% is no longer the upper limit for 10-year yields, but merely a "reference point". Yield curves continued to steepen, as 10-year and 30-year yields rose more than 2-year yields; 2-year yields even declined in Germany and especially in Canada, where inflation declined more than expected. The ECB paused and said that keeping rates at their current level will help to bring down inflation. US Treasuries and Japanese government bonds both returned -1.3% in October, while German Bunds gained 0.3% (all returns hedged to euro). US 10-year yields reached 5% for the first time since 2007.
Based on transaction prices, the fund's return was 0.78%. The fund outperformed strongly in October, thanks to the short duration position in US bond futures. The fund had short duration positions in German and US bonds; the US position was closed in late October. The US short position contributed positively and the German position made a neutral contribution to performance. Year-to-date, the fund has strongly outperformed cash – its benchmark – by benefiting from lower yields in the first weeks of the year and in Japan in the first half of the year, and by benefiting from rising yields in February, April and June-October. All active duration positions are based on the outcomes of our quantitative duration model.
Expectation of fund manager
Lodewijk van der Linden
The fund's duration policy is driven by the outcomes of our proprietary quantitative duration model. At the end of October, the model predicts rising yields for German bonds, mainly driven by the valuation, trend, monetary policy and low-risk variables, despite positive signals for bonds from the economic growth variable. The model was neutral for US and Japanese bonds, mainly due to more favorable scores on the valuation and monetary policy variables.