Artificial Intelligence
at Quoniam

Markets are increasingly shaped by complex data and powerful AI tools. Yet many investors ask: can you trust these tools, or are they just a black box?

What does this mean for investors?

Artificial intelligence can enhance investment decisions if it is used with discipline. Many investors are concerned that AI replaces human judgment or amplifies model risk. At Quoniam, AI never replaces responsibility. It strengthens systematic models, expands the information we can analyse, and operates within clearly defined governance and risk frameworks.

Our use of AI builds on decades of quantitative research and practical experience in portfolio management. We deploy technology only where it improves robustness and consistency – and only where it meets our standards for transparency and investability.

How we apply AI in systematic investing

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      AI for forecasting
      Signals that influence future share prices are spread across many sources and data sets. Machine learning enables us to quickly analyse large amounts of data and enhances our single stock forecasts by capturing information that linear models may not capture.
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      AI for signal generation
      In our Global Data Sentiment strategy, LLMs transform text into quantitative signals that expand the data universe – while portfolio construction remains fully systematic and risk-managed.
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      AI for research efficiency
      AI-based tools support coding, testing, and literature search, accelerating the research process.
Artificial intelligence does not replace human expertise in asset management, it strengthens systematic models, expands the data we can analyse, and makes research more efficient.
Dr Volker Flögel, CFA, Chief Investment Officer
Disciplined, systematic, accountable

Quoniam’s approach to AI reflects our broader investment philosophy: science-based, systematic, and accountable. For investors seeking to benefit from innovation without sacrificing control, governance, or trust.

Extracting insights from unstructured data
AI excels where traditional models struggle: turning language into signals. Large language models allow us to analyse tone, context, and narratives – for example in central bank communication – capturing information beyond simple keywords and systematically integrating it into investment models.

Learn more
Insights
Interview
February 2026
Machine learning in stock selection: Beyond linear thinking

Stock markets are complex, and correlations are not always linear. Nevertheless, traditional models often rely on linear assumptions. So how can this gap be closed? In this interview, Carsten Rother, Co-Head of Research Forecasts, explains how Quoniam has been using machine learning to enhance traditional models.
Interview
April 2024
Machine learning: a powerful tool for asset managers

Artificial intelligence is seen as a major investment opportunity in 2023, but it’s also a technology that investors can use in their investment process. Machine learning is one form of AI that we’ve been using at Quoniam for a long time. Here we speak to Dr Maximilian Stroh, CFA, Head of Research at Quoniam, about what machine learning is, its benefits and how we use it at Quoniam.
Interview
July 2025
Deconstructing the news: how AI unlocks deeper insights into central bank communications for investors

In their latest paper, “Breaking (up) news: How current and forward-looking information impact US Treasury yield dynamics”, Dr Maximilian Stroh, CFA, Head of Research, and Dr Matthias Apel, Portfolio Management Multi-Asset, find that there’s tangible predictive value in systematically analysing the forward-looking component of central bank news. In this interview, they explain their research and provide a behind-the-scenes look at how they use LLMs to deliver robust results.