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Daniel Traian Pele

danpele@ase.ro, +40745016813

Bucharest University of Economic Studies

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About

Daniel Traian Pele is a Romanian academic and researcher, known for his contributions in the field of economics, particularly in financial econometrics. He is a professor at the Bucharest University of Economic Studies (ASE), where he has been deeply involved in teaching and research activities. His work focuses on time series analysis, forecasting models, and risk management, with a special emphasis on financial markets.

In addition to his academic roles, Daniel Traian Pele is actively engaged as a researcher in several cutting-edge projects. He is part of the **MSCA Digital Finance** program, an EU-funded initiative under the Marie Skłodowska-Curie Actions, focusing on the digital transformation of finance through research and innovation. He also conducts research within the **IDA Institute Digital Assets**, an organization dedicated to advancing knowledge and adoption of digital financial instruments like cryptocurrencies and blockchain technology. Moreover, Pele is a researcher in the **AI4EFin (Artificial Intelligence for Energy and Finance)** project, which aims to leverage AI to enhance economic and financial analysis, particularly in areas such as financial forecasting and risk management.

Additionally, Daniel Traian Pele is a member of **CA19130 - Fintech and Artificial Intelligence in Finance - Towards a Transparent Financial Industry (FinAI)**, a European research network focused on fostering transparency and innovation in the financial industry through the integration of fintech and AI technologies.

Pele has published numerous papers in international journals, presented his research at various conferences, and is involved in mentoring students and guiding doctoral research. His work and contributions are recognized both nationally and internationally, making him a prominent figure in the fields of digital finance, fintech, and financial econometrics.

Key Achievements and Outputs

Publications in top peer-reviewd academic journals

Research Interests

AI, Statistics of FInancial Markets, LLM, Digital Assets

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