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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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Shielding factor portfolios from credit downgrades and defaults
Shielding factor portfolios from credit downgrades and defaults
Gaining more by losing less in multi-factor credit strategies.
30-11-2021 | Insight
'Investors can benefit from the use of sustainability data'
'Investors can benefit from the use of sustainability data'
Innovative developments in the area of sustainability data can uncover new ways of assessing opportunities and risks.
23-11-2021 | Interview
‘Alternative datasets can help predict future returns’
‘Alternative datasets can help predict future returns’
Big data can unlock a gold mine of information on investor behavior.
16-11-2021 | Interview