Branka Hadji Misheva

• Strengthening Swiss Financial SMEs through Applicable Reinforcement Learning / Team member / Project ongoing
• COST Action Fintech and Artificial Intelligence in Finance - Grant Holder / Project leader / Project ongoing
• Towards Explainable Artificial Intelligence and Machine Learning in Credit Risk Management / Project leader / Project ongoing
• Decentralized financing of Fairtrade producers using a blockchain-based solution / Team member / Project ongoing
• Currency hedging for SMEs and pension funds / Team member / Project ongoing
• Advanced/AI-supported Rating Models for P2P systems / Project leader / Project completed
• 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. / Team member / Project completed
• Digitalisation non-bankable assets (specifically: art) / Team member / Project completed
• Deep Learning & Neuronal Networks: Selbstständige KI-Agenten zur Entwicklung von neuartigen Handelsstrategien im Asset Management auf Basis von Self-Play / Team member / Project completed
• 4th Conference Finance and Industry 2019 / Team member / Project completed
• European Workshops in Finance / Team member / Project completed
• FIN-TECH – Financial Supervision and Technology Compliance Training Programme / Project leader / Project completed
• Big Data Analytics Research / Project leader / Project completed
• Mathematics and Fintech: The next revolution in the digital transformation of the finance industry / Team member / Project completed

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

  2021.

  The applicability of self-play algorithms to trading and forecasting financial markets.

  Frontiers in Artificial Intelligence.

  4(668465).

  Available from: https://doi.org/10.3389/frai.2021.668465

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

  2020.

  Lead behaviour in Bitcoin markets.

  Risks.

  8(1), pp. 4.

  Available from: 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).

  Available from: https://doi.org/10.3389/frai.2019.00003

• Hirsa, Ali; Osterrieder, Jörg; Hadji Misheva, Branka; Posth, Jan-Alexander,

  2021.

  Deep reinforcement learning on a multi-asset environment for trading.

  arXiv.

  Available from: https://doi.org/10.21256/zhaw-22850

• 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.

  Available from: 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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