Robeco QI Dynamic High Yield EH EUR
- Liquid exposure to global high yield corporates
- Performance driven by a unique quantitative model
- An alternative for passive or direct high-yield investments
About this fund
Price development
Performance
{{'fund.detail.general.perDate' | labelize:[ fundDate(fund.fundPerformances.date,'llll') ]}}| Fund | Reference index | |
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| 1 month | ||
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| {{'fund.detail.performance.period.sinceInception' | labelize:[ fundDate(fund.fundPerformances.sinceStart.startDate,'MM-YYYY') ]}} |
Annualized (for periods longer than one year).
Cumulized (total amount of return).
Performances are gross of fees and based on closing values. In reality, costs (such as management fees and other costs) are charged. These have a negative effect on the returns shown.
Performances are net of fees and based on transaction prices.
| Fund | Reference index | |
|---|---|---|
Annualized (for periods longer than one year).
Cumulized (total amount of return).
Performances are gross of fees and based on closing values. In reality, costs (such as management fees and other costs) are charged. These have a negative effect on the returns shown.
Performances are net of fees and based on transaction prices.
Performance explanation
{{'fund.detail.general.perDate' | labelize:[ fundDate(fund.fundInvestmentExplanations.date,'llll') ]}}Based on transaction prices, the fund's return was -1.71%. The fund’s gross return lagged the high yield cash bond market return in September by -1.0%. As the position was neutral during the month, the model contributed neutrally to the performance. The combined return of investing in CDS indices and government bonds underperformed the return of high yield cash bonds and contributed -1.0% to the performance. In the long run, we do not expect structural return differences between CDS indices and bonds.
Statistics
{{'fund.detail.general.perDate' | labelize:[ fundDate( (fund.fundStatistics.date?fund.fundStatistics.date:fund.fundCharacteristics.date) ,'llll') ]}}| 3 years | 5 years | ||
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| Fund | Reference index | ||
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| Rating | |||
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| Green Bonds (%) |
Dividend paying history
{{'fund.detail.general.perDate' | labelize:[ fundDate(fund.fundFacts.date,'llll') ]}}| Date | Amount |
|---|---|
Market development
{{'fund.detail.general.perDate' | labelize:[ fundDate(fund.fundInvestmentExplanations.date,'llll') ]}}The positive sentiment seen in previous months changed in September. The main causes seemed to be a slowdown in fund flows, downward pressure on oil prices, increased macro-rhetoric and most of all an increase in Covid-19 cases in developed markets. The global high yield bond spread increased by 40 bps, the European iTraxx CrossOver Index by 24 bps and the US CDX High Yield Index by 43 bps. The global CDS index return was -2.0%. The underlying government bonds made a neutral contribution. The combined return of investing in CDS indices and government bonds was -2.0% in September, lower than the return of the cash high yield bond index of -1.0%.
Fund allocation
{{'fund.detail.general.perDate' | labelize:[ fundDate(fund.fundAllocations.date,'llll') ]}}| Name | Sector | Weight |
|---|---|---|
Fund Classification
| Yes | No | N/A | ||
|---|---|---|---|---|
| Voting | ||||
| Engagement | ||||
| ESG integration | ||||
| Exclusion |
| Yes | No | N/A | ||
|---|---|---|---|---|
| Screening | ||||
| Integration | ||||
| Sustainability Themed Fund |
Currency policy
Currency risks are hedged.
Dividend policy
The fund distributes a dividend on an annual basis.
ESG Integration policy
For Robeco QI Dynamic High Yield the investment universe and the type of investments are such that it is not feasible to implement the ESG factors into the investment processes.
Investment policy
Robeco QI Dynamic High Yield offers well-diversified exposure to US and European high yield corporates by investing in highly liquid CDS indices. These indices are much more liquid than direct investments in high yield bonds. Because of their high liquidity, investors can use these CDS indices to efficiently get high yield exposure with much lower transaction costs than through high yield bonds. The performance of Robeco QI Dynamic High Yield is driven by a unique quantitative market-timing model. This proprietary model has a track record of over 10 years. The model is based on academic research and uses a variety of factors, amongst others from credit and equity markets, to forecast credit returns. Based on this forecast, the exposure of the fund to the high yield corporate bond market will be decreased or increased. As a result, the beta of the portfolio varies between 0.5 and 1.5, to reduce risk in declining markets and to benefit more in rising markets. Robeco QI Dynamic High Yield Fund aims to offer a better return than the Bloomberg Barclays Global High Yield Corporate index. The index is used to express the benefits of the strategy as an alternative to passive or direct investments in high yield bonds. Weekly positioning updates are available upon request.
Risk policy
The investment strategy of the fund aims to outperform its 100% exposure to high yield corporates by taking active beta positions based on Robeco's quantitative market timing model. These active positions are set to always meet the predefined guidelines. As the investment exposure of the fund is obtained to a material degree through derivatives, it is important to manage counterparty risk. Therefore the credit quality of the counterparties is monitored and collateral is exchanged on a daily basis to reflect market movements in the value of the instruments. The predefined guidelines also restrict the leverage exposure of derivatives on a fund level and the currency exposure as described in the prospectus.
Expectation of fund manager
{{'fund.detail.general.perDate' | labelize:[ fundDate(fund.fundFacts.date,'llll') ]}}The positions of the fund are fully determined by the outcome of our proprietary credit beta model. By the end of September, the fund had a neutral beta position of 1. The negative value and season variables are offset by positive momentum and macro variables.
Johan Duyvesteyn, Olaf Penninga
Mr. Johan Duyvesteyn is Portfolio Manager and Quantitative Researcher with Robeco. Johan has been active in the industry and with Robeco since 1999. He started his career as researcher. His areas of expertise are government bond market timing, country sustainability and emerging debt. Johan has published several articles in the academic finance literature, including the Journal of Empirical Finance, the Journal of Banking and Finance and the Journal of Fixed Income. Johan holds a Ph.D. in Finance as well as a Master's degree in Financial Econometrics from the Erasmus University Rotterdam. He became a CFA charter holder in 2005 and is registered with the Dutch Securities Institute. Olaf Penninga is Lead Portfolio Manager for the Dynamic Duration strategy and Portfolio Manager for the Dynamic High Yield strategy. He has been Portfolio Manager for the Dynamic Duration strategy since 2005 and Lead Portfolio Manager since 2011. One of his previous positions within Robeco was that of Researcher with responsibility for fixed income allocation research, including the research underlying the Dynamic Duration strategy. Olaf was employed by Interpolis as Investment Econometrician for one year before returning to Robeco in 2003. He started his career in the industry in 1998 at Robeco. He holds a Master's in Mathematics (cum laude) from Leiden University.
Details
{{'fund.detail.general.perDate' | labelize:[ fundDate(fund.fundFacts.date,'llll') ]}}| Management company | |
| Fund capital | |
| Size of share class | |
| Outstanding shares | |
| ISIN | LU1152268865 |
| Bloomberg | RQHYEHE LX |
| Valoren | 26339363 |
| WKN | A14NY4 |
| Availability | |
| 1st quotation date | 1418860800000 |
| Close financial year | 31-12 |
| Legal status | |
| Tracking error limit (%) | |
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| Reference index |
Cost of this fund
{{'fund.detail.general.perDate' | labelize:[ fundDate(fund.fundCosts.managementFees.date,'llll') ]}}Ongoing charges |
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Transaction costs |
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| The expected transaction costs are |
Performance fee |
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| This fund may also deduct a performance fee of |
Extra fees
| max entry fee | ||
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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.
