Research

We are a research group focused on empirical and data-driven analysis of alternative investments, with a particular emphasis on private equity and venture capital.

Our research integrates econometrics, machine learning, and advanced statistical methods with large-scale proprietary datasets on private markets. A key focus lies in transforming unstructured investment data into structured, analysis-ready formats, enabling granular insights into fund performance, risk dynamics, and liquidity characteristics.

A central component of our work is the altqnt Research Group (see: https://altqnt.com), a joint initiative at the Technical University of Munich dedicated to quantitative alternative assets. ALTQNT develops data infrastructure, models, and AI-driven analytics that bridge academic research and investment practice, positioning the group among the largest dedicated teams in this field.

In close collaboration with practitioners, we operate at the intersection of academic research and real-world investment decision-making. Our work contributes to topics such as performance measurement, portfolio construction under illiquidity, and forward-looking risk modeling in private markets.