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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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Ten years of successful factor investing in credit markets
Ten years of successful factor investing in credit markets
A decade of live track-records shows that our factor-based credit investing approach delivers improved risk-adjusted returns compared to the market.
30-06-2022 | Insight
Quant chart: Cornered by Big Oil
Quant chart: Cornered by Big Oil
Positive year-to-date returns from oil stocks are bucking the trend given the S&P 500 Index has slid into bear market territory.
29-06-2022 | Insight
Forecasting stock crash risk with machine learning
Forecasting stock crash risk with machine learning
Machine learning techniques can be used to uncover nonlinear relationships between several variables to help forecast stock crash risk.
15-06-2022 | Insight