市場觀點

Active Quant: A guide to Quant Street

Quant investing is often described in terms that can feel cold or inaccessible: algorithms, models, datasets. But at Robeco, it’s not a black box. Behind the math lies a very human discipline. Our quant strategies are shaped not only by algorithms but also by the people who build them – those who continuously test ideas, evaluate outcomes, challenge assumptions, and interpret shifting market dynamics.

作者

    Anna Heldring
    Investment writer
    Client Portfolio Manager
    Investment Specialist

This year, as part of our focus on one such strategy – Active Quant – we launched a podcast series called ‘A random talk down Quant Street ’. Our new companion guide to that series gives you the highlights on how the Active Quant engine works: from the first research idea to the construction of real-world portfolios. Whether you’re new to quant or already familiar with factors, algos, alternative data and the like, this guide offers a clear and practical roadmap to one of our most powerful strategies.

Listen to the podcast series for expert conversations on the ideas behind the models.

Active Quant: finding alpha* with confidence

Blending data-driven insights, risk control and quant expertise to pursue reliable returns.
*Alpha refers to the excess return of an investment relative to a benchmark index and is a measure of performance.

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