RobecoSAM Global Green Bonds IH CHF
Targeted impact investing that benefits the environment
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
Bloomberg MSCI Global Green Bond Index (hedged into CHF)
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
- Uses a proprietary green bonds framework to determine eligibility of green bonds for the fund
- Provides a diversified exposure to the global green bonds market
- Impact investing, using a disciplined and repeatable investment process and an experienced portfolio management team
About this fund
RobecoSAM Global Green Bonds is an actively managed fund that invests in green bonds issued by governments, government-related agencies and corporates. The selection of these bonds is based on fundamental analysis. The fund's objective is to provide long term capital growth.The fund invests at least two-thirds of its total assets in global green bonds with a minimal rating of "BBB-" or equivalent by at least one of the recognized rating agencies. Green bonds selection is based on external vendor data or the internally developed framework, about which more information can be obtained via the website www.robeco.com/si.
Total size of fund
Size of share class
Inception date fund
Michiel de Bruin
Michiel de Bruin is Head of Global Macro and Portfolio Manager. Prior to joining Robeco in 2018, Michiel was Head of Global Rates and Money Markets at BMO Global Asset Management in London. He held various other positions before that, including Head of Euro Government Bonds. Before he joined BMO in 2003, he was, among others, Head of Fixed Income Trading at Deutsche Bank in Amsterdam. Michiel started his career in the industry in 1986. He holds a post graduate diploma investment analyses from the VU University in Amsterdam and is a Certified EFFAS Analyst (CEFA) charterholder. He holds a Bachelor’s in Applied Sciences from University of Applied Sciences in Amsterdam. Peter Kwaak is Portfolio Manager Investment Grade in the Credit team. Prior to joining Robeco in 2005, he was Portfolio Manager Credits at Aegon Asset Management for three years and at NIB Capital for two years. Peter has been active in the industry since 1998. He holds a Master’s in Economics from Erasmus University Rotterdam and he is a CFA® charterholder.
- Per period
- Per annum
Since inception 04/2020
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.
Green Bonds (%)
The percentage of total AuM in the portfolio (market-weight based) that is indicated as Green Bond in Bloomberg. Green bonds are any type of regular bond instrument for which the proceeds will be applied exclusively to environmental projects.
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 0.01% 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.
All currency risks are hedged.
The fund does not distribute a dividend.
RobecoSAM Global Green Bonds is an actively managed fund that invests in green bonds issued by governments, government-related agencies and corporates. The selection of these bonds is based on fundamental analysis. The fund's objective is to provide long term capital growth. The fund has sustainable investment as its objective within the meaning of Article 9 of the European Sustainable Finance Disclosure Regulation. The fund finances or re-finances new and/or existing environmentally-friendly projects by investing in green bonds which are designed to support specific climate-related or environmental projects. The fund integrates ESG (Environmental, Social and Governance) factors 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. The fund invests at least two-thirds of its total assets in global green bonds with a minimal rating of "BBB-" or equivalent by at least one of the recognized rating agencies. Green bonds selection is based on external vendor data or the internally developed framework, about which more information can be obtained via the website www.robeco.com/si. The Benchmark is aligned with the sustainable investment objective of the fund by applying clearly defined rules for classifying green bonds. The majority of bonds selected will be components of the Benchmark, but bonds 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 currencies and issuers) to the extent of deviation from the Benchmark. This will consequently limit the deviation of the performance relative to the Benchmark. the Benchmark is aligned with the sustainable investment objective of the fund by applying clearly defined rules for classifying green bonds.
Risk management is fully embedded in the investment process so as to ensure that the fund's positions remain within set limits at all times.
The fact that the sub-fund has obtained this label does not mean that it meets your personal sustainability goals or that the label is in line with requirements arising from any future national or European rules. The label obtained is valid for one year and subject to annual reappraisal. More information on this label.
The fund’s sustainable investment objective is to invest in green bonds. Green bonds are bonds that are recognized as such by external sources and which proceeds are used to finance or re-finance in part or in full new and/or existing environmentally-friendly projects. The green bond selection is based on external data or an internally developed five-step Green bond framework. The five-step framework states that the issuer's green bond framework must be aligned with market standards related to green bonds such as such as the ICMA Green Bond Principles. Next, the allocation of the investment proceeds must contribute to at least one of the six objectives of the EU Taxonomy nor do any significant harm to the other five. The six objectives of the EU Taxonomy Regulation are climate change mitigation and adaptation, sustainable use and protection of water and marine resources, the transition to a circular economy, pollution prevention and control, and the protection of healthy ecosystems. The third and fourth steps require that the bond issuer reports on the use of proceeds and that the issuance aligns with the wider sustainability strategy of the issuer. The fifth and last step states that the issuer must respect international norms related to conduct such as international labor rights, human rights and the UN Global Compact. In addition, the investment process also takes into account exclusions following Robeco's exclusion policy and integrates financially material ESG factors in the bottom-up issuer analysis to assess the impact on the issuer's fundamentals.The following sections display the ESG-metrics that are relevant 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 [Index name].
In August, credit spreads widened modestly, influenced by several factors including the prospect of interest rates remaining higher for longer and a continued softening of economic data, particularly in Europe and China. In the US, noteworthy events included the decision by Fitch Ratings to downgrade the US credit rating from AAA to AA+, the Federal Reserve's Jackson Hole Conference speech emphasizing the necessity for additional tightening measures to address inflation concerns, and the release of JOLTS job vacancy data for July, which came in softer than expected. In Europe, there were growing economic concerns as the August flash PMIs revealed a significant decline, with the Eurozone composite PMI dropping to 47.0, the lowest since late 2020, and the UK's composite PMI contracting to 47.9, the first since January. Despite these challenges, European inflation remained resilient. In China, concerns around the economy persisted, while headwinds in the property sector intensified following Country Garden's missed bond payments. Consequently, the PBoC continued with piecemeal easing, including another policy rate cut and substantial liquidity injections into the banking system.
Based on transaction prices, the fund's return was -0.24%. The fund posted a small positive absolute return and outperformed its index. The overweight duration position in front-end rates and the curve steepener position in both the US and EUR added to performance, while positioning in Japanese rates detracted. While yields in Japan rose across the curve, ultralong JGB bond yields rose fastest, causing the curve to steepen further. The index credit spread widened 3 basis points to 0.98%. The beta positioning made a neutral contribution for the month that was offset by our issuer selection, which detracted from performance. Companies that contributed negatively to performance were the overweights in Vonovia, Deutsche Bank, and Vesteda.
Expectation of fund manager
Michiel de Bruin
A buy-on-dips (and sell-the-rally) strategy from a conservative basis remains our preferred approach. Rates and recession fears are the key drivers in this cycle. And although 10-year US yields seem close to the cycle peak, volatility and uncertainty remain. Valuations are still around their long-term average, but are tighter than in earlier years, while financial conditions have tightened further. For now, we have taken some chips off the table. With an outlook of either higher rates or a recession, and valuation in no-man's land, markets are between a rock and a hard place. Technicals remain tough for the period to come. For our investment grade credit portfolios, we brought betas back to around 1.1, whereas the betas of our high yield funds moved below 1.