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About

Roman Matkovskyy is an Associate Professor of Finance at Rennes School of Business (France) and a principal investigator leading several research projects in digital finance. He serves as Associate Editor for the International Review of Financial Analysis and the International Review of Economics & Finance, and as Economic Section Editor for MethodsX. He is also an editorial board member of Data in Brief. Alongside his research role, he has held senior academic leadership positions including Deputy Head – Academic Director and research centre Director/Co-Director. His academic career spans six countries, i.e. France, Ireland, Poland, South Africa, Germany, and Ukraine.

Key Achievements and Outputs

  • Principal Investigator on funded research projects on cryptocurrency adoption, systemic risks, and DeFi,  and digital markets and AI, with 20+ peer-reviewed publications in the past 5 years

  • Media impact with international press coverage in Bloomberg/MarketWatch, Harvard Business Review France, Le Monde, Handelsblatt, Cointelegraph, among others.

  • STSM grant coordinator in the EU COST Action FinAI: Fintech and Artificial Intelligence in Finance.

  • Founding director of the FMCO research centre

  • Designed and launched the MSc in Financial Data Intelligence (focus on AI in finance)

  • Recipient of academic excellence award at Rennes School of Business

Research Interests

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Roman’s work lies at the intersection of digital finance, financial econometrics, and behavioural influences in technology-driven financial systems, with focus on:

  • AI-driven financial decision-making: AI vs human behaviour, sentiment and narrative analytics, neural networks

  • Cryptocurrency markets: systemic risk, interdependence, adoption behaviour, compliance perception

  • Blockchain and crypto-assets: liquidity, bubbles, hedging properties, sustainable growth

  • Economic safety, macro-financial connectedness and cross-country contagion dynamics

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Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or Horizon Europe: Marie Skłodowska-Curie Actions. Neither the European Union nor the granting authority can be held responsible for them. This project has received funding from the Horizon Europe research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 101119635

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