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Machine learning in stock selection: Beyond linear thinking
Carsten, why are traditional linear models no longer sufficient for equity investments today? A classic linear model – as used in multi-factor approaches – assumes that effects are linear and…
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Credit factor models in a new macro world
Can factor models capture recent geopolitical developments? March 2025 marks a turning point in the current geopolitical environment. Europe and the US are changing course, with far-reaching consequences for sectors…
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Deconstructing the news: how AI unlocks deeper insights into central bank communications for investors
Your latest paper, "Breaking (up) news: how current and forward-looking information impact US Treasury yield dynamics" has generated quite a buzz. For our audience of institutional investors, could you start…
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Can news sentiment forecast macroeconomic data?
Macro economic forecasts are typcially based on models that assume individual rationality and foresight. At the same time, behavioural research shows that emotions and narrative play a significant role in…
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Machine learning: a powerful tool for asset managers
What is machine learning? Machine learning is a method of programming computers using data. Rather than being programmed by a human, the computer looks at the data and finds patterns…
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How smarter factors boost returns
How do you stay ahead of the game when it comes to performance drivers at Quoniam? The beauty about capital market theory is that we know that returns can be…
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Facing the Challenges of Fixed Income Factor Investing
1) Issues selections versus issuer selection The challenge of modelling single issues is that their risk declines over time. Breaking down factor and risk exposures at the single security level…
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Tap into an alternative source of returns – with low correlations to traditional and alternative asset classes
Theo, after successful implementation in client mandates, the Quoniam Global Data Sentiment Strategy (GDS) has been launched as a mutual fund*. How does the underlying strategy work? The Global Data…
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Short Selling as an ex ante alpha signal
Efficient stock market pricing requires all market participants to feed their individual expectations regarding future and value-relevant information into the process. If a market participant considers the market price to…
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Capturing alternative data in practice: Transform news sentiment into actionable insights
Axel, you recently published your research “Learning deep news sentiment representations for macro-finance" in Digital Finance. What motivated you to explore this topic? At Quoniam, we have been working for…
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The Quoniam University Award – The 2021 winning article: Quality as the cornerstone of the portfolio
As a team of graduates from the Frankfurt School of Finance & Management, we empirically examined 30 years of fundamental data to explore crisis-proof investment strategies. The objective of the…
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New research sheds light on the link between inflation and uncertainty
Dr Tamas Barko from Quoniam’s Research team co-authored a paper with Chaoyi Chen (Hungarian National Bank) and Olivér Nagy (Eötvös Loránd University) titled “Inflation and Inflation Uncertainty: Evidence from GARCH-MIDAS-in-Mean…
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Global Equities Enhanced: Finding the sweet spot between passive and active investing
With global equity markets highly efficient and fee pressure ever-present, many professional investors default to broad equity ETFs as core portfolio building blocks. However, this approach also comes with limitations—especially…
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Diversity is our recipe for success - in investments and in our teams
What does multifactor investing mean and how do we implement it at Quoniam? (Multi-)factor strategies differ in the definition of the factors used. It is known from capital market research…
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Quoniam Research Seminars: Bridging the gap between theory and practice
What were your intentions when you created the concept of the Quoniam Research Seminars (QRS)? At Quoniam, our research focus is on identifying scientific or research-based performance drivers and applying…
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