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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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Factor investing debates: Do big data and AI herald a new dawn for quant?
Factor investing debates: Do big data and AI herald a new dawn for quant?
Factor investing is based on decades of publicly available empirical studies.
11-01-2021 | Insight
Has Low Volatility lost its mojo?
Has Low Volatility lost its mojo?
2020 has been a difficult year for Low Volatility investors and this year’s performance has been truly challenging, amounting to a period of soul searching.
21-12-2020 | Insight
Podcast: Why I believe the quant winter will end
Podcast: Why I believe the quant winter will end
Will value stocks make a comeback in 2021?
17-12-2020 | Podcast