Research & Publications

Our work bridges the gap between technological possibility and business value. We apply data-driven technologies – especially blockchain and machine learning – to solve concrete problems in real economic sectors, with a strong focus on finance, regulated supply chains, and sustainability.

Research Focus Areas

Pillar 1: Blockchain & Distributed Ledger Technology (DLT)
We focus on "Real-Economy Applications" of blockchain technology, examining pragmatic business value in highly regulated markets.

Pillar 2: Crypto-Assets, Digital Money & Macroeconomics
We analyze the profound economic and political implications of digital currencies, including the introduction of private global currencies and their threat to European monetary sovereignty.

Pillar 3: Data Science, ML and ESG/Sustainability
We demonstrate how quantitative methods can be used to evaluate sustainability factors, including machine learning models to predict ESG ETF performance based on external factors.

Selected Publications

• How I used Machine Learning to predict ESG Fund performance (2021)
Read on Medium

• Crypto money and cryptocurrency competition (2020)
Holste & Mayer | Routledge

• Can the German Cannabis Supply Chain Benefit from Blockchain Technology? (2020)
Springer

• Real-Economy Applications of Blockchain Technology (2018)
Holste & Schöber | SSRN