Branka Hadji Misheva

• Strengthening Swiss Financial SMEs through Applicable Reinforcement Learning / Teammitglied / Projekt laufend
• COST Action Fintech und künstliche Intelligenz in Finance - Grant Holder / ProjektleiterIn / Projekt laufend
• Towards Explainable Artificial Intelligence and Machine Learning in Credit Risk Management / ProjektleiterIn / Projekt laufend
• Decentralized financing of Fairtrade producers using a blockchain-based solution / Teammitglied / Projekt laufend
• Advanced/AI-supported Rating Models for P2P systems / ProjektleiterIn / Projekt laufend
• Währungsabsicherung für KMUs und Pensionskassen / Teammitglied / Projekt laufend
• Hybrid Approach for Robust Identification and Measurement of Investors Driving Corporate Sustainability and Innovation. Design of Policy Tools for Evaluating the Impact of Specific Investors and Assessing the Quality of Companies’ Investor Bases. / Teammitglied / Projekt abgeschlossen
• Digitalisierung nicht bankfähiger Vermögenswerte (insbesondere Kunst) / Teammitglied / Projekt abgeschlossen
• Deep Learning & Neuronal Networks: Selbstständige KI-Agenten zur Entwicklung von neuartigen Handelsstrategien im Asset Management auf Basis von Self-Play / Teammitglied / Projekt abgeschlossen
• 4th Conference Finance and Industry 2019 / Teammitglied / Projekt abgeschlossen
• Europäische Workshops in Finance / Teammitglied / Projekt abgeschlossen
• FIN-TECH – Financial Supervision and Technology Compliance Training Programme / ProjektleiterIn / Projekt abgeschlossen
• Big Data Analytics Research / ProjektleiterIn / Projekt abgeschlossen
• Mathematics and Fintech: The next revolution in the digital transformation of the finance industry / Teammitglied / Projekt abgeschlossen

• Chen, Ying; Giudici, Paolo; Hadji Misheva, Branka; Trimborn, Simon,

  2020.

  Lead behaviour in Bitcoin markets.

  Risks.

  8(1),

  S.4.

  Verfügbar unter: https://doi.org/10.3390/risks8010004

• Giudici, Paolo; Hadji Misheva, Branka; Spelta, Alessandro,

  2019.

  Network based scoring models to improve credit risk management in peer to peer lending platforms.

  Frontiers in Artificial Intelligence.

  2(3).

  Verfügbar unter: https://doi.org/10.3389/frai.2019.00003

• Posth, Jan-Alexander; Hadji Misheva, Branka; Kotlarz, Piotr Kamil; Osterrieder, Jörg; Schwendner, Peter,

  2020.

  The applicability of self-play algorithms to trading and forecasting financial markets : a feasibility study.

  SSRN.

  Verfügbar unter: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3737714

Hadji Misheva, B. Giudici, P. and Pediroda, V. (2018) Network-Based Models to Improve Credit Scoring Accuracy

Giudici, P. and Hadji-Misheva, B. 2017. P2P Lending Scoring Models: Do they Predict Default? Journal of Digital Banking.

Bucevska, V. and Hadji-Misheva, B. 2015. Determinants of Profitability in Banking Industry: Empirical Evidence from Selected Balkan Countries. Eastern European Economics Journal.

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