Robeco QI Global Multi-Factor Bonds IH USD
Systematic portfolio of government and corporate bonds for long-term capital growth
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.
IH-USD
DH-EUR
DH-USD
FH-EUR
FH-USD
IH-EUR
ZH-GBP
Class and codes
Asset class:
Bonds
ISIN:
LU2067165097
Bloomberg:
ROMHBIU LX
Index
Bloomberg Global Aggregate Index
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 8
Morningstar
Morningstar
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Rating (30/04)
- Overview
- Performance & costs
- Portfolio
- Sustainability
- Commentary
- Documents
MISSING: fund.detail.tabs.
Key points
- Globally diversified portfolio of bonds issued by governments, agencies and corporates managed with a systematic investment style
- Uses low-risk, quality, value, momentum and size factors to select the most attractive bonds
- Based on more than 25 years of experience and award-winning research in quantitative fixed income investing
About this fund
Robeco QI Global Multi-Factor Bonds is an actively managed fund that invests globally in bonds issued by governments, agencies and corporates. The selection of these bonds is based on a quantitative model. The fund's objective is to provide long-term capital growth. The fund uses low-risk, quality, value, momentum and size factors to select the most attractive bonds. The disciplined investment process aims to keep the credit and foreign exchange risk of the bond portfolio similar to that of the benchmark, but with the aim of generating higher returns due to its exposures to factors. The overall duration of the bond portfolio can be increased or decreased, depending on a systematic assessment of the bond market outlook.
Key facts
Total size of fund
$ 30,932,210
Size of share class
$ 101,583
Inception date fund
26-11-2019
1-year performance
-2.65%
Dividend paying
No
Fund manager
Olaf Penninga
Patrick Houweling
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. Patrick Houweling is Co-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. 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.
Performance
Per period
Per annum
- Per period
- Per annum
1 month
0.34%
0.51%
3 months
1.09%
1.10%
YTD
3.54%
3.43%
1 year
-2.65%
-0.70%
2 years
-4.86%
-3.77%
3 years
-3.10%
-2.48%
Since inception 11/2019
-2.29%
-1.38%
2022
-12.52%
-11.22%
2021
-2.21%
-1.39%
2020
4.70%
5.58%
2020-2022
-3.60%
-2.59%
Statistics
Statistics
Hit-ratio
Characteristics
- Statistics
- Hit-ratio
- Characteristics
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.
1.28
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.
-0.11
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.
-0.75
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..
0.09
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.
1.06
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).
5.33
Max. monthly gain (%)
The maximum (i.e. highest) absolute positive monthly performance in the underlying period.
3.37
Max. monthly loss (%)
The maximum (i.e. highest) absolute negative monthly performance in the underlying period.
-3.92
Months out performance
Number of months in which the fund outperformed the benchmark in the underlying period.
16
Hit ratio (%)
This percentage indicates the number of months in which the fund outperformed in a given period.
44.4
Months Bull market
Number of months of positive benchmark performance in the underlying period.
17
Months outperformance Bull
Number of months in which the fund outperformed positive benchmark performance in the underlying period.
8
Hit ratio Bull (%)
This percentage indicates the number of months the fund outperformed a positive benchmark in an underlying period.
47.1
Months Bear market
Number of months of negative benchmark performance in the underlying period.
19
Months outperformance Bear
Number of months in which the fund outperformed negative benchmark performance in the underlying period.
8
Hit ratio Bear (%)
This percentage indicates the number of months the fund outperformed a negative benchmark performance in an underlying period.
42.1
Rating
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.
AA3/A1
AA2/AA3
Option Adjusted Modified Duration (years)
The interest rate sensitivity of the portfolio.
7.30
6.80
Maturity (years)
The average maturity of the securities in the portfolio.
9.10
8.60
Costs
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.
0.43%
Included management fee
A fee paid by the fund to the asset management company for the professional management of the fund.
0.30%
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.
Fund allocation
Currency
Duration
Sector
- Currency
- Duration
- Sector
Policies
All currency risks are hedged.
All income earned will be accumulated and not be distributed as dividend. Therefore the entire return is reflected in the share price development.
Robeco QI Global Multi-Factor Bonds is an actively managed fund that invests globally in bonds issued by governments, agencies and corporates. The selection of these bonds is 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. The fund uses low-risk, quality, value, momentum and size factors to select the most attractive bonds. The disciplined investment process aims to keep the credit and foreign exchange risk of the bond portfolio similar to that of the benchmark, but with the aim of generating higher returns due to its exposures to factors. The overall duration of the bond portfolio can be increased or decreased, depending on a systematic assessment of the bond market outlook. The majority of bonds selected will be components of the benchmark, but bonds outside the benchmark may be selected too. The fund can deviate from the weightings of the benchmark. The fund aims to outperform the benchmark over the long run, while still controlling relative risk through the application of limits (on currencies, issuers and ratings) to the extent of the 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.
The fund aims to have its credit and currency exposure in line with that of the benchmark. The strategy can have moderate tracking error versus the benchmark. The portfolio volatility is restricted by a predefined threshold. The portfolio will make use of derivatives, which add to the leverage of the portfolio. The expected level of gross leverage is stated in the prospectus.
Sustainability-related disclosures
Full sustainability-related disclosures
Download full reportSummary sustainability-related disclosures
Download summarySustainability profile
Environmental footprint
Carbon ownership - Credit allocation
Footprint ownership expresses the total resource utilization the credit allocation of the portfolio finances. Each assessed company's footprint is calculated by normalizing resources utilized by the company's enterprise value including cash (EVIC). Multiplying these values by the dollar amount invested in each assessed company yields the aggregate footprint ownership figures. The same is done for the corporate bonds in the index. Carbon efficient companies have lower ownership values. The portfolios score is shown in blue and the index in grey.
Carbon intensity - Government bond allocation
Carbon intensity expresses the aggregate efficiency of the government bond allocation of the portfolio. Each country’s carbon intensity is calculated by normalizing the country’s greenhouse gas emissions (expressed in carbon equivalents) by its population size. The portfolio's aggregate intensity figure is calculated by multiplying each portfolio holding’s intensity figure by its respective portfolio weight. The same is done for the government bonds in the index. Carbon efficient countries have lower intensity values. The portfolios score is shown in blue and the index in grey.
Sustainability
The fund incorporates sustainability in the investment process via exclusions, ESG integration, ESG and environmental footprint targets, and engagement. For investments in government bonds, the fund complies with Robeco's exclusion policy for countries and does not invest in countries where serious violations of human rights or a collapse of the governance structure take place, or if countries are subject to UN, EU or US sanctions. Via portfolio construction rules the fund targets a better ESG score and a lower carbon footprint compared to the government bonds part of the reference index. For investments in corporate bonds, 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. Via portfolio construction rules the fund targets a better ESG score and lower carbon, water and waste footprints than that of the corporate component in the reference index. These portfolio construction rules ensure that issuers with a better ESG scores or a lower environmental footprint are more likely to be included in the portfolio, and vice versa. For corporate bonds, the investment process also includes a check of buy candidates and portfolio holdings by our credit analysts for ESG risks that may have material impact for bond holders. Lastly, where corporate issuers are flagged for breaching international standards in our ongoing monitoring, the issuer will become subject to engagement.
Market development
After declining on weak US data in early April, bond yields rose for most of the month as banking fears subsided, the ECB still sounded fairly hawkish and UK inflation surprised to the upside. Bonds recovered in late April as Eurozone data weakened and banking fears returned with the failure of First Republic. The Bank of Japan did not adjust its Yield Curve Control policy; instead it announced a broad review of its monetary policy that will take at least a year. Japanese government bonds returned 0.6% in April, US Treasuries 0.3% and German Bunds 0.03%; UK government bonds declined 1.9% (all returns hedged to euro). Credit spreads traded in a narrow range as broad measures of volatility like the VIX and MOVE indices declined. The spread of the Bloomberg Global Corporates Index declined slightly from 153 to 149 bps.
Performance explanation
Based on transaction prices, the fund's return was 0.34%. The fund underperformed the index in April, mainly due to the multi-factor government bond selection. Within government bond selection, value was the weakest factor; the preference for UK bonds detracted the most. Credit selection made a neutral contribution; here the value factor performed well, but the low-risk/quality factor detracted. The duration overlay made a positive contribution as it was correctly positioned for declining yields in Japan and (for a large part of the month) for rising yields in the Eurozone. Year-to-date the fund has outperformed the index, with positive contributions from multi-factor credit selection and the duration overlay.
Expectation of fund manager
Olaf Penninga
Patrick Houweling
Lodewijk van der Linden
Robeco QI Global Multi-Factor Bonds invests systematically in predominantly investment grade credits and government bonds. It offers balanced exposure to a number of quantitative factors. The bottom-up selection of government bonds and credits aims to systematically harvest factor premiums with a risk profile that is similar to the reference index. On top of that, the fund incorporates an active duration overlay, which is based on the outcomes of our quantitative duration model.