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Quantitative research

In the field of finance, quantitative research can be defined as the use of quantitative data analysis, in particular statistical methods, to study, design and evaluate investment strategies and to build portfolios in a systematic way.

Robeco has been ahead of the pack in quantitative investment approaches from the very beginning. For more than two decades now, we have developed solutions that successfully exploit market inefficiencies in both equity and fixed income markets. Our quantitative research department was formally established in the late 1980s and the first stock selection models were developed in the early 1990s. In 1994, these first models were introduced in the investment process of some of our equity strategies.

Building on the success of these models in practice, in 2002 Robeco launched a fully quantitative equity product line. Robeco currently employs one of the largest teams in Europe dedicated to quantitative investment, consisting of almost 40 researchers and portfolio managers.

Quantitative investing: invisible layers surface to deliver attractive returns
Quantitative investing: invisible layers surface to deliver attractive returns
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The quant cycle
The quant cycle
Equity factors follow their own sentiment-driven cycle that cannot be explained by traditional business cycle indicators.
19-10-2021 | Research
Looking under the bonnet of passive thematic indices
Looking under the bonnet of passive thematic indices
Passive thematic indices effectively trade against quant investors due to their generally negative exposures to factors.
12-10-2021 | Insight
Podcast: Why quant fixed income is a great diversifier
Podcast: Why quant fixed income is a great diversifier
While many quant equity strategies have struggled over the past few years, the performance of quant credits has been robust.
08-10-2021 | Podcast