Robeco’s Multi-Factor Bonds strategy applies bottom-up bond selection in credits and in government bonds, while keeping its top-down risk profile in line with the index. With this index-like risk profile, the fund is equally well positioned to outperform in risk-on and risk-off environments. Many fundamentally-managed peers use top-down allocation strategies that result in a structurally higher exposure to credit risk. These strategies tend to underperform in risk-off periods – precisely when strong performance from fixed-income strategies is required as a portfolio diversifier. Our strategy aims to outperform regardless of the environment. A peer group comparison confirms this different performance pattern. As a result, Robeco Multi-Factor Bonds can be used as a style diversifier to fundamental strategies.
Introducing Multi-Factor Bonds
Robeco QI Global Multi-Factor Bonds is the flagship fund of our Multi Factor Bonds strategy. This global bond fund aims to outperform the Bloomberg Global Aggregate index using bottom-up selection of credits and government bonds based on well-known factors like Value, Momentum, Low Risk and Quality. Our portfolio construction algorithm builds a well-diversified portfolio of these attractive bonds, with a top-down, index-aligned risk profile. It also takes sustainability measures like ESG and carbon emissions into account.
The portfolio construction process allows for flexible customization of the risk budget and the sustainability enhancements: we can run for instance mandates with a lower tracking error or a more ambitious decarbonization target. On top of this bond portfolio we implement a tactical duration overlay based on our quantitative duration strategy with a more than 25-year long live track record. This aggregate strategy thus combines performance drivers from Robeco’s long-standing quant fixed income strategies: multi-factor credits and dynamic duration.
Peer group analysis
We perform a peer group analysis to demonstrate said risk profile, whereas many peers tend to have structurally more exposure to spread risk. We compare the relative returns of Robeco QI Global Multi-Factor Bonds and those of various fundamentally managed global aggregate bond funds over the past 10 years.
Given our fund’s nearly five-year live history, we simulate its longer-term performance using the live track records and backtest results for its performance drivers. For instance, for the multi-factor credit selection we use the live results from the inception of Robeco QI Global Multi-Factor Credits in 2015, and for the period before that we use backtest results.
Figure 1 – Estimated beta to credit returns of fund’s performance relative to the global aggregate index, July 2014-June 2024

Source: Morningstar Direct, Bloomberg, Robeco. Period: July 2014-June 2024.
Robeco GMFB = Robeco QI Global Multi-Factor Bonds (EUR-hedged) live track record since December 2019. For the period before that, we use combinations of live track records of the individual performance drivers and simulated returns. The grey bars represent 23 anonymized global bond funds (all EUR-hedged). Outperformance is calculated vs. Bloomberg Global Aggregate index (EUR-hedged). The currency in which the past performance is displayed may differ from the currency of your country of residence. Due to exchange rate fluctuations the performance shown may increase or decrease if converted into your local currency. The value of your investments may fluctuate. Past performance is no guarantee of future results. Morningstar Direct reports fund returns net of fees but for this analysis we add back fees to approximate the gross returns for each fund in order to establish a level playing field. In reality, costs (such as management fees and other costs) are charged.
Many funds are over-exposed to credits
First of all, we estimate the credit betas of the funds. We take their monthly returns relative to the global aggregate index and regress these on the excess returns of corporate bonds. The results are shown in Figure 1. Most funds exhibit a clear positive beta; they have structurally more exposure to credit risk than the index. This can be in the form of an overweight in credits, or a bias to lower-rated credits, potentially high yield, or a combination of these. Somehow, these funds take more risk than the index. Our fund shows an estimated beta close to zero, i.e. it has similar exposure to spread risk as the global aggregate index. We deliberately target such an index-like risk profile.
Conclusion
Robeco’s Multi-Factor Bonds strategy applies bottom-up bond selection in credits and in government bonds. With its market-like risk profile, the fund is equally well positioned for risk-on and risk-off environments. Many fundamentally-managed peers use top-down allocation strategies that result in a structurally higher exposure to credit risk. These funds tend to underperform in risk-off periods – precisely when strong performance from fixed-income strategies is required as portfolio diversifier. And as these funds typically perform at the same time, combining two or more of these funds generates little diversification benefits. Our strategy aims to outperform both in risk-on and in risk-off periods. A peer group comparison confirms this different performance pattern. Robeco Multi-Factor Bonds can thus be used as a style diversifier to fundamental strategies. And with its ability to perform regardless of the environment, the strategy offers better diversification versus equities than funds that are over-exposed to credits.
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